# Best Analytics Platforms - Page 5 *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)* The best analytics platform in 2026 is Microsoft Power BI, rated 4.5 out of 5 on G2 based on 1,600+ verified reviews. For data engineering and machine learning workflows, Databricks and Alteryx both lead at 4.6 stars, with Databricks excelling in governed lakehouse analytics and Alteryx in no-code automation. 1. Microsoft Power BI — 4.5/5 (1,600+ reviews): Microsoft-connected interactive dashboards 2. Tableau — 4.4/5 (3,700+ reviews): Flexible visual dashboard exploration 3. Databricks — 4.6/5 (1,300+ reviews): Governed lakehouse analytics and ML workflows 4. SAS Viya — 4.3/5 (800+ reviews): Cloud analytics for governed data science 5. Alteryx — 4.6/5 (800+ reviews): No-code data preparation and automation *Updated June 2026. Based on 2026 G2 verified review data across 6,100+ products.* Analytics platforms provide a tool set for businesses to transform raw data into meaningful, actionable insights. They enable organizations to explore data, uncover trends, forecast future outcomes, and support informed decision making. Unlike tools limited to reporting on past performance, analytics platforms often include advanced capabilities such as predictive modeling, statistical analysis, and machine learning (ML). These platforms are designed to be flexible and scalable, supporting a wide range of use cases across the business. These platforms are used in nearly every business function, from marketing and sales to finance, operations, and HR, supporting both strategic planning and day-to-day performance monitoring. From data analysts and scientists to business stakeholders and executives, analytics platforms are used by a wide range of personas. While analysts focus on exploring data and generating insights, self-service tools now enable non-technical users to interact directly with data. IT teams support platform integration and security, reflecting the growing push to democratize data access and embed analytics into daily decision-making across the organization. Analytics platforms support critical functions such as data blending and modeling, enabling users to combine data from diverse sources and build robust, interconnected data models. The visual outputs — dashboards, reports, and interactive charts — help users explore trends, drill down into granular details, and communicate insights clearly. Unlike standalone data visualization tools, which are limited to presenting information, analytics platforms encompass the full analytical workflow. Many also offer advanced capabilities such as embedded analytics, natural language query, and augmented analytics, which leverage ML to automate insight discovery and make data exploration more accessible to a broader audience. Analytics platforms and [business intelligence (BI) software](https://www.g2.com/categories/business-intelligence) often work in tandem to support data-driven organizations. While BI tools focus on tracking and reporting historical performance through dashboards and key performance indicators (KPI), analytics platforms provide broader capabilities that support exploratory analysis and strategic planning. BI answers "what happened," while analytics platforms help users understand why it happened and what might happen next. Rather than replacing BI, analytics platforms complement it by enabling deeper insights and empowering a wider range of users across the organization. To qualify for inclusion in the Analytics Platforms category, a product must: - Ingest and integrate data from a wide range of structured and semi-structured sources - Prepare and transform data using built-in tools for cleaning, enrichment, and formatting - Support connections to diverse data sources, including file uploads, databases, application programming interfaces (API), and SaaS apps - Enable users to model data relationships, join datasets, and explore data interactively - Offer tools to build meaningful business reports, dashboards, and visualizations - Allow creation and sharing of internal analytics applications or embedded insights across teams ## Top Analytics Platforms at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) | 4.5/5.0 (1,589 reviews) | Microsoft-connected interactive dashboards | "[No-Code Microsoft Analytics with Easy Data Connections and Drag-and-Drop Dashboards](https://www.g2.com/survey_responses/microsoft-power-bi-review-12894515)" | | 2 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,630 reviews) | Flexible visual dashboard exploration | "[Tableau Makes Business Data Easy to Explore with Interactive Dashboards](https://www.g2.com/survey_responses/tableau-review-13037513)" | | 3 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,284 reviews) | Governed lakehouse analytics and ML workflows | "[Great Spark Scaling, But Slow Cluster Boot Times](https://www.g2.com/survey_responses/databricks-review-12905667)" | | 4 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (758 reviews) | Cloud analytics for governed data science | "[SAS Viya is a Powerful Analytics](https://www.g2.com/survey_responses/sas-viya-review-11702846)" | | 5 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (829 reviews) | No-code data preparation and automation | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" | | 6 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,584 reviews) | Governed shared BI metrics | "[Transforms Data, But Challenging for Beginners](https://www.g2.com/survey_responses/looker-review-12784757)" | | 7 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (999 reviews) | Centralized self-service business dashboards | "[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)" | | 8 | [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) | 4.8/5.0 (265 reviews) | Semantic-layer acceleration for enterprise BI | "[Fast, Consistent Data Exploration Across Dimensions with Kyvos Semantic Layer](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12911098)" | | 9 | [Hex](https://www.g2.com/products/hex-tech-hex/reviews) | 4.5/5.0 (399 reviews) | SQL and Python notebook analytics apps | "[Effortless Data Analysis with Powerful AI](https://www.g2.com/survey_responses/hex-review-12262172)" | | 10 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (544 reviews) | Warehouse-native spreadsheet-style analytics | "[Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience](https://www.g2.com/survey_responses/sigma-review-12573150)" | --- ## What Are the Most Common Questions About Analytics Platforms? *AI-generated · Last updated: May 26, 2026* ### What analytics platforms with intuitive UI that non-technical users adopt without extensive training? Based on G2 reviews, buyers looking for analytics platforms with an intuitive interface often prioritize drag-and-drop workflows, easy report creation, and minimal training overhead. According to verified users, Microsoft Power BI is frequently described as easy to use for dashboard creation, with non-technical teams able to navigate dashboards and build simple reports. Tableau reviewers also mention beginner-friendly dashboarding and drag-and-drop analysis, especially for quick visualization work. G2 reviewers mention that Looker can support self-service access once models are set up, though some users note a steeper learning curve for report creation. Across recent reviews, ease of use is strongest when teams need straightforward dashboard access, fast setup, and familiar visual exploration. ### What most trusted analytics solutions by data teams based on user reviews for teams with similar? Based on G2 reviews, trust among data teams in this category often comes from reliability in handling large datasets, flexible workflows, and strong collaboration between technical and business users. According to verified users, Databricks is repeatedly trusted for unifying data engineering, analytics, and machine learning in one environment, which reduces tool sprawl. G2 reviewers mention Microsoft Power BI as dependable for centralizing reporting and sharing metrics across teams, especially in Microsoft-heavy environments. Tableau is also trusted for visual exploration and dashboard creation, particularly when teams need strong storytelling and flexible analysis. Recent reviews show that data teams value tools they can rely on for scaling workflows, consolidating sources, and keeping metrics accessible to stakeholders. ### Which analytics solutions integrate with data warehouses like snowflake, BigQuery, and Redshift seamlessly? Based on G2 reviews, Databricks stands out for teams that need seamless integration with modern data warehouse and cloud data environments. According to verified users, Databricks brings data engineering, analytics, and machine learning into one platform while connecting well with tools such as Snowflake, BigQuery, and related cloud ecosystems. G2 reviewers mention native connectors, shared notebooks, workflow orchestration, and unified data handling as key reasons it simplifies work across warehouse-based stacks. Reviews also describe easier collaboration and fewer handoffs between teams because data processing and analysis stay in one environment. For buyers prioritizing warehouse-centric analytics, recent feedback most consistently points to Databricks as the strongest fit in this dataset. ### What top analytics platforms for mid-market companies building self-service dashboards across departments that scales with team? Based on G2 reviews, mid-market teams building self-service dashboards across departments often look for tools that centralize reporting, support business users, and reduce dependence on manual spreadsheet work. G2 reviewers mention Microsoft Power BI as a strong fit for cross-functional KPI tracking, automated dashboards, and broad access across business users. According to verified users, Databricks supports scalable analytics workflows when teams need broader data engineering and analytics in one place. Tableau is also cited for interactive dashboards and accessible visual exploration, especially when organizations want polished reporting for multiple stakeholders. Across recent reviews, these platforms are described as helpful for scaling visibility across finance, operations, sales, and marketing without constantly rebuilding reports. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – used to centralize reporting and give business teams self-service dashboards across departments - [Databricks](https://www.g2.com/products/databricks/reviews) – supports scalable data workflows that combine analytics, reporting, and shared access to large datasets - [Tableau](https://www.g2.com/products/tableau/reviews) – helps teams build interactive dashboards and share visual insights across business functions ### Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration? Based on G2 reviews, Microsoft Power BI is a strong choice when teams need fast query response and flexible drill-down for ad-hoc exploration. According to verified users, Power BI makes it easy to drill into numbers, filter data, and explore trends without writing repeated custom queries. G2 reviewers mention cross-filtering, interactive dashboards, and quick access to KPIs as key strengths for day-to-day analysis. Reviews also highlight its ability to centralize data from multiple sources and let business users navigate details on their own. While some reviewers mention performance slowdowns on especially large or complex datasets, recent feedback still shows Power BI as the most consistently referenced option here for accessible drill-down analysis. ### What analytics platforms supporting collaborative dashboards, annotations, and mobile access for on-the-go insights? Based on G2 reviews, collaboration and mobile accessibility are recurring strengths for several analytics platforms. According to verified users, Domo supports sharing dashboards, discussing insights, and enabling collaboration across departments, with reviewers also highlighting its mobile experience. G2 reviewers mention Yellowfin BI for collaboration through comments, annotations, and shared reporting workflows that help teams discuss data in context. Microsoft Power BI is also noted for mobile and web access, along with easy dashboard sharing and centralized reporting. Recent reviews suggest these tools are most relevant when teams need analytics that travel beyond a desktop, allowing leaders and frontline users to access dashboards, review updates, and align on performance while moving between meetings or locations. ### Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation? Based on G2 reviews, Looker is one of the strongest options for preventing incorrect conclusions through governed metrics and centralized definitions. According to verified users, its modeling approach helps define metrics once and apply them consistently across dashboards, reducing disagreements over what a number means. G2 reviewers mention that this centralized layer helps stop teams from pulling conflicting versions of the same metric and creates a more trusted reporting environment. Reviews also describe faster decision-making because teams are working from one shared definition instead of reconciling spreadsheets. For organizations focused on governance, consistency, and reducing metric drift, recent review language most directly supports Looker in this area. ### What is the best analytics platforms for business teams accessing insights without requiring SQL or data science skills? Based on G2 reviews, Microsoft Power BI is the best-supported answer in this dataset for business teams that need insights without requiring SQL or data science skills. According to verified users, it is easy to use, supports drag-and-drop reporting, and helps non-technical users access dashboards and explore data without heavy training. G2 reviewers mention self-service dashboards, natural language features, and accessible visualizations that help staff make informed decisions without depending on technical teams for every question. Reviews also note strong integration with common business tools and data sources, which helps teams get started faster. For non-technical business users, Power BI is the most consistently referenced option in recent reviews. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – helps non-technical teams build and use dashboards with drag-and-drop reporting and familiar workflows - [Tableau](https://www.g2.com/products/tableau/reviews) – supports quick visual exploration with an intuitive drag-and-drop interface for broad business use - [Looker](https://www.g2.com/products/looker/reviews) – enables self-service exploration and shared dashboards once models are set up for business teams ### What highest rated analytics platform for enterprises democratizing data access across business functions? Based on G2 reviews, enterprises democratizing data access across business functions often choose platforms that centralize metrics and make dashboards accessible to non-technical users. G2 reviewers mention Microsoft Power BI for unifying reporting across departments and helping business users explore dashboards directly. According to verified users, Looker supports centralized metric definitions and broader self-service analytics across organizations, reducing inconsistencies between teams. Tableau is also frequently cited for making complex datasets easier to communicate through interactive dashboards and visual storytelling. Across recent reviews, these platforms are associated with giving finance, operations, marketing, and leadership a common view of performance so teams can act without waiting on repeated manual reporting. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – centralizes dashboards and gives business teams direct access to live metrics across functions - [Looker](https://www.g2.com/products/looker/reviews) – provides a centralized modeling layer that helps teams work from shared definitions across the organization - [Tableau](https://www.g2.com/products/tableau/reviews) – makes cross-functional insights easier to share through interactive dashboards and visual exploration ### What analytics solutions with robust caching and performance optimization to maintain fast speeds at scale? Based on G2 reviews, several analytics solutions stand out for maintaining speed at scale through performance optimization. According to verified users, Databricks is frequently praised for handling large-scale data processing efficiently and supporting complex analytics without major slowdowns when workflows are managed well. G2 reviewers mention Kyvos Semantic Layer for accelerating query response on very large datasets and improving dashboard responsiveness, especially in BI environments. Tableau and Microsoft Power BI are also noted for strong performance in many day-to-day scenarios, though reviewers sometimes mention tuning is important as complexity grows. Across recent reviews, the strongest performance-focused language centers on Databricks and Kyvos when buyers need fast access to large volumes of data. ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 353 ### Category Stats (Jul 2026) - **Average Rating**: 4.49/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: KNIME (+1.2%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: July 05, 2026* ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 28,500+ Authentic Reviews - 353+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Analytics Platforms Is Best for Your Use Case? - **Leader:** [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - **Highest Performer:** [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) - **Easiest to Use:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Top Trending:** [Hex](https://www.g2.com/products/hex-tech-hex/reviews) - **Best Free Software:** [Tableau](https://www.g2.com/products/tableau/reviews) --- **Sponsored** ### Lightdash Lightdash is the fastest way for modern data teams to build and scale AI-powered self-serve analytics. It enables analysts to define metrics and make them accessible to non-technical users, who can explore data and build dashboards without writing SQL. Lightdash integrates with modern data stacks, supports a governed semantic layer, and offers developer-friendly features like Git-based workflows. It is designed to reduce the overhead of maintaining BI tools, streamline metric definitions, and improve access to consistent data across teams. Lightdash is used and trusted by companies of all sizes, from start ups to international publicly listed organisations. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=620&secure%5Bchosen_at%5D=2026-07-06T00%3A16%3A39Z&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1215392&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms&secure%5Btoken%5D=14a1970fa9d73cd8728711b9f012694cceba7a6d91f2e129ecbc1565ca32f165&secure%5Burl%5D=https%3A%2F%2Fwww.lightdash.com%2F&secure%5Burl_type%5D=company_website) --- ## What Are the Top-Rated Analytics Platforms Products in 2026? ### 1. [TIMi](https://www.g2.com/products/timi/reviews) TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analytics, AI and Big Data, while offering a helpful, fast and friendly environment. The TIMi Suite consists of four tools: 1. Anatella (Analytical ETL, Data Prep & Big Data), 2. Modeler (Auto-ML / Automated Predictive Modelling / Automated-AI), 3. StarDust (3D Segmentation) 4. Kibella (BI Dashboarding solution). TIMi dominates the Data Science market: In the "Summer 2022 - Momentum Report” from G2, in the “Data Science” category, TIMi has the #1 rank: TIMi is the Data Science solution with both the highest market growth and the highest customer-satisfaction! More about this subject here: https://timi.eu/blog/timi-the-number-one-data-science-platform/ **Average Rating:** 4.8/5.0 **Total Reviews:** 50 **How Do G2 Users Rate TIMi?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.5/10 (Category avg: 8.5/10) **Who Is the Company Behind TIMi?** - **Seller:** [TIMi SPRL](https://www.g2.com/sellers/timi-sprl) - **Year Founded:** 2007 - **HQ Location:** Brussels - **Twitter:** @TIMiSuite (3,532 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/timisuite/ (86 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 40% Small-Business, 32% Enterprise #### What Are TIMi's Pros and Cons? **Pros:** - Customer Support (2 reviews) - Ease of Use (2 reviews) - Features (2 reviews) - Automation (1 reviews) - Charting Features (1 reviews) ### What Do G2 Reviewers Say About TIMi? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **exceptional customer support** from the TIMi team for their quick responsiveness and helpfulness. - Users find TIMi's platform extremely **easy to use** , emphasizing its intuitive design and fast learning curve. - Users appreciate the **user-friendly interface and exceptional support** from TIMi, enhancing their data handling experience. - Users praise the **automation capabilities** of TIMi, enabling swift and intuitive data transformations with ease. - Users praise the **intuitive charting features** of TIMi, enabling quick and efficient data visualization for analysis. #### What Are Recent G2 Reviews of TIMi? **"[Effortless ETL with Potential for ML Growth](https://www.g2.com/survey_responses/timi-review-12545228)"** **Rating:** 4.0/5.0 stars *— Zainab Y.* [Read full review](https://www.g2.com/survey_responses/timi-review-12545228) --- **"[TIMi and Anatella: fast, scalable, and efficient ML pipeline for very large volumes](https://www.g2.com/survey_responses/timi-review-12712058)"** **Rating:** 5.0/5.0 stars *— Hugo D.* [Read full review](https://www.g2.com/survey_responses/timi-review-12712058) --- #### What Are G2 Users Discussing About TIMi? - [What is TIMi Suite used for?](https://www.g2.com/discussions/what-is-timi-suite-used-for) - 1 comment ### 2. [Digital Hive](https://www.g2.com/products/digital-hive/reviews) Digital Hive is an Analytics Catalog that curates and creates a single place for users to consume and find the analytics they need. Not a revisualization, we don't touch your data or recreate your security and you customize the consumption experience to wow your users. With Digital Hive you'll see greater value from your analytics investment by increased adoption, improved data literacy and reduced duplication of content. **Average Rating:** 4.5/5.0 **Total Reviews:** 24 **How Do G2 Users Rate Digital Hive?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Digital Hive?** - **Seller:** [Digital Hive](https://www.g2.com/sellers/digital-hive-d733945f-74bc-4117-a8ff-692a74b2542f) - **Year Founded:** 2014 - **HQ Location:** Ottawa, CA - **LinkedIn® Page:** https://www.linkedin.com/company/digital-hive-portal/ (20 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising - **Company Size:** 48% Mid-Market, 36% Small-Business #### What Are Digital Hive's Pros and Cons? **Pros:** - User Interface (6 reviews) - Integrations (5 reviews) - Data Analysis (3 reviews) - Scalability (3 reviews) - Customization (2 reviews) **Cons:** - Expensive (4 reviews) - Complexity (3 reviews) - Bugs (2 reviews) - Access Control (1 reviews) - Complex Usage (1 reviews) ### What Do G2 Reviewers Say About Digital Hive? *AI-generated summary from verified user reviews* **Pros:** - Users admire the **user-friendly interface** of Digital Hive, facilitating seamless analytics and collaboration with ease. - Users appreciate the **seamless integration** capabilities of Digital Hive, simplifying analytics by unifying various BI tools efficiently. - Users find Digital Hive to be an **excellent analytical tool** that enhances business analysis and growth. - Users highlight the **scalability** of Digital Hive, allowing seamless collaboration and easy integration of BI tools. - Users value the **customization options** in Digital Hive, enhancing accessibility and improving overall efficiency in workflows. **Cons:** - Users find the **pricing too expensive** for Digital Hive, especially without clear information or free trials available. - Users find the **integration complexity** of Digital Hive challenging, especially with customized setups and navigation issues. - Users report experiencing **bugs** that disrupt functionality and suggest improvements in management to enhance performance. - Users feel the lack of **Row Level Security (RLS)** limits data access control, affecting privacy and management efficiency. - Users find the **complex usage** of Digital Hive frustrating, leading to challenges in workflows and longer onboarding times. #### What Are Recent G2 Reviews of Digital Hive? **"[Unified Platform Enhances Data Management and Insights](https://www.g2.com/survey_responses/digital-hive-review-12091596)"** **Rating:** 4.0/5.0 stars *— Atharva P.* [Read full review](https://www.g2.com/survey_responses/digital-hive-review-12091596) --- **"[Best Analytics platform](https://www.g2.com/survey_responses/digital-hive-review-10374529)"** **Rating:** 5.0/5.0 stars *— Pooja S.* [Read full review](https://www.g2.com/survey_responses/digital-hive-review-10374529) --- ### 3. [BIMachine](https://www.g2.com/products/bimachine/reviews) A BIMachine é uma plataforma cloud de Business Intelligence e Analytics, fornecida no modelo software-as-a-service, contando com os recursos para ajudar a sua empresa a ser mais eficiente e crescer no mercado. Mais do que praticidade, BI e cloud é uma integração que pressupõe assertividade, e estes são dois fatores que não podem faltar na receita de expansão de qualquer organização. Considerada a maior plataforma de Analytics da América Latina, a BIMachine é 100% brasileira, completa e escalável para criação de aplicações de negócio em nuvem. Com APP mobile disponível em IOS e Android, é possível ter a informação do seu negócio na palma da sua mão e no momento que você precisar. Além disso, a ferramenta permite criar painéis com suas análises, gráficos, mapas e KPI′s, para visualizar suas informações em um único local. Ademais, você pode criar análises a partir da sua origem de dados e modelar a melhor visão do seu negócio através de tabelas e gráficos, acompanhando indicadores de desempenho de uma maneira interativa e automatizada (automatizando o envio de reports por e-mail e WhatsApp). **Average Rating:** 4.6/5.0 **Total Reviews:** 22 **How Do G2 Users Rate BIMachine?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.8/10 (Category avg: 8.4/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind BIMachine?** - **Seller:** [BIMachine](https://www.g2.com/sellers/bimachine) - **Year Founded:** 2014 - **HQ Location:** Lajeado, Rio Grande do Sul - **LinkedIn® Page:** https://www.linkedin.com/company/bim-machinells/ (49 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 58% Small-Business, 21% Enterprise #### What Are Recent G2 Reviews of BIMachine? **"[Ethical and pre-eminent platform for data visualization](https://www.g2.com/survey_responses/bimachine-review-9484299)"** **Rating:** 4.5/5.0 stars *— Isil A.* [Read full review](https://www.g2.com/survey_responses/bimachine-review-9484299) --- **"[Powerful Business Intelligence project platform](https://www.g2.com/survey_responses/bimachine-review-9506872)"** **Rating:** 4.5/5.0 stars *— Anapierski R.* [Read full review](https://www.g2.com/survey_responses/bimachine-review-9506872) --- #### What Are G2 Users Discussing About BIMachine? - [What is BIMachine used for?](https://www.g2.com/discussions/what-is-bimachine-used-for) - 2 comments ### 4. [Entrinsik Informer](https://www.g2.com/products/entrinsik-informer/reviews) Founded in 1984, Entrinsik is an established, global software company based in Raleigh, North Carolina. Over 3,000 organizations in many industries around the world use Entrinsik software every day. Our state of the art solutions improve efficiency, productivity, and streamline daily operations Informer 5 is a robust, extensible data discovery and analytics platform that simplifies the process of accessing, cleansing, blending, and analyzing on-prem and cloud data. Aggregate disparate data using a single web-based platform to create a cohesive, curated, governed data hub for self-service data analysis. Explore, visualize and analyze relevant data on the fly. Securely publish Reports and collaborate with colleagues. Generate Dashboards that consolidate critical performance metrics. Informer is used extensively within various industries including Higher Education, Insurance, Manufacturing & Distribution, Healthcare, Public Safety, Not-for-Profit, Government, CRM, and many others. Informer Embedded is the perfect choice for software applications looking to provide purposeful, self-service analytics within or complementing their solution. Integration is quick and seamless with our heavily experienced and results-driven in-house team. You can choose your integration path with options from inlined content to external, connected but separate full applications. All options are entirely customizable and white-labeled to match the look and feel of your brand flawlessly so that you can provide critical insights without having to sacrifice your software’s identity. Contact us at informersales@entrinsik.com, 888-703-0016 for access to the Informer Sandbox to get a feel for the platform on your own or to schedule a one-on-one conversation or demo. Let us help you uncover insights in your data. **Average Rating:** 4.7/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Entrinsik Informer?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.0/10 (Category avg: 8.4/10) - **Reports Interface:** 7.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 6.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Entrinsik Informer?** - **Seller:** [Entrinsik](https://www.g2.com/sellers/entrinsik) - **Year Founded:** 1984 - **HQ Location:** Raleigh, NC - North Carolina - **Twitter:** @Entrinsik (471 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/entrinsik-inc./ (43 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Higher Education - **Company Size:** 73% Mid-Market, 18% Enterprise #### What Are Recent G2 Reviews of Entrinsik Informer? **"[Excellent Reporting Tool!](https://www.g2.com/survey_responses/entrinsik-informer-review-4563627)"** **Rating:** 5.0/5.0 stars *— Verified User in Higher Education* [Read full review](https://www.g2.com/survey_responses/entrinsik-informer-review-4563627) --- **"[Informer is a high speed, low drag, teflon coated reporting solution](https://www.g2.com/survey_responses/entrinsik-informer-review-4563621)"** **Rating:** 5.0/5.0 stars *— Peter C.* [Read full review](https://www.g2.com/survey_responses/entrinsik-informer-review-4563621) --- ### 5. [Tellius](https://www.g2.com/products/tellius/reviews) Enterprise Agentic Intelligence for Faster, Deeper Insights and Actions Tellius is the agentic intelligence platform that helps organizations understand performance, explain what changed, and take action—automatically and at scale. We unify natural language, automated reasoning, explainable insights, and workflow automation into a single decisioning layer used by commercial, finance, operations, and analytics teams. This is enterprise decision automation—transparent, governed, and built for real-world complexity. What Tellius Does: Enterprises don’t lack dashboards—they lack a fast, trusted way to understand business performance at the depth and granularity needed to make decisions. Tellius solves that by automating the full cycle: Question → Reasoning → Deep Insight → Explanation → Recommended Action Teams get answers in minutes instead of days, with full transparency into how Tellius reached its conclusions. How Tellius is Different: 1. End-to-End Agentic Intelligence Automates the entire loop from business question to explanation to downstream action—no manual stitching of tools. 2. Built for Multiple Data Sources & Multiple Teams Connects across diverse data sources (claims, CRM, POS, syndicated, SAP, Snowflake, Redshift, Databricks) and supports multiple business teams with different KPIs, workflows, and languages. 3. Deep, Explainable Insights Driver analysis, anomalies, comparisons, segmentation, and narratives that go far beyond dashboards or LLM chatbots. 4. Analyst-Governed, Business-Ready Analysts define the semantic layer, KPIs, data relationships, and governance—while business users get guided insights, explanations, and recommended actions that stay consistent with analyst-defined logic. 5. Enterprise-Grade Trust, Security & Data Complexity Handling Engineered for real-world enterprise data: handles multi-source, multi-grain, high-cardinality models, with built-in row-level security, audit trails, transparent SQL, and controlled LLM access for compliant, safe deployment. 6. Semantic Knowledge & Business Context Awareness Understands your business terminology, hierarchies, KPIs, and domain-specific logic—enabling context-rich interpretations, accurate reasoning, and consistent answers across all teams. 7. Workflow Accelerators for High-Value Domains Field Sales Effectiveness, Market Access, Claims, Retail Trade, Marketing Optimization, and Financial Variance. What You Get with Tellius: 1. 5–10× faster ad-hoc analysis across commercial and finance teams 2. 50+ hours saved per analyst/month on recurring deep dives 3. 30–40% faster KPI diagnosis across Access, Claims, and Field Execution 4. Up to 60% reduction in analytics backlog and manual work 5. Delivers 10–50× more granular and explainable insights at a level far beyond dashboards or LLM-only tools 6. Significant adoption lift due to explainable insights and multi-team workflows Why Customers Choose Tellius: - A single system that connects business questions to explanations and recommended actions - Transparent, trustworthy AI that works with (not against) existing data governance - Rapid value realization without hiring more analysts - Built for multi-team, multi-source, regulated, and complex enterprise environments **Average Rating:** 4.4/5.0 **Total Reviews:** 22 **How Do G2 Users Rate Tellius?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.8/10 (Category avg: 8.4/10) - **Reports Interface:** 8.4/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Tellius?** - **Seller:** [Tellius](https://www.g2.com/sellers/tellius) - **Year Founded:** 2016 - **HQ Location:** Reston, Virginia - **Twitter:** @TelliusData (534 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/tellius/ (126 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 27% Small-Business #### What Are Tellius's Pros and Cons? **Pros:** - Charting Features (1 reviews) - Data Analysis (1 reviews) - Ease of Use (1 reviews) - Performance Evaluation (1 reviews) - Powerful BI (1 reviews) **Cons:** - Confusing Pricing (1 reviews) - Expensive (1 reviews) - Integration Issues (1 reviews) - Learning Curve (1 reviews) - Missing Functionality (1 reviews) ### What Do G2 Reviewers Say About Tellius? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **data visualization tools** of Tellius, which enhance the presentation of data through interactive dashboards. - Users highlight the **advanced analytics capabilities** of Tellius, which uncover hidden patterns and trends effectively. - Users find the **ease of use** of Tellius beneficial, especially with its natural language querying feature. - Users value the **advanced analytics capabilities** of Tellius, enabling insights and uncovering data patterns effectively. - Users value the **advanced analytics capabilities** of Tellius, enhancing data insights with AI-driven features and machine learning. **Cons:** - Users express concerns about Tellius's **confusing pricing** , which may not accommodate smaller businesses or startups. - Users find the **pricing structure of Tellius expensive** , making it less accessible for small businesses and startups. - Users experience **integration issues** with Tellius, facing challenges due to limited third-party app compatibility. - Users may struggle with the **complex learning curve** of Tellius, especially those new to advanced analytics. - Users often note the **limited third-party integrations** in Tellius compared to other BI tools, impacting versatility. #### What Are Recent G2 Reviews of Tellius? **"[Tellius is a business intelligence and analytics tool](https://www.g2.com/survey_responses/tellius-review-8841087)"** **Rating:** 4.5/5.0 stars *— Yogesh R.* [Read full review](https://www.g2.com/survey_responses/tellius-review-8841087) --- **"[AI and ML powered tool to improve your data insights](https://www.g2.com/survey_responses/tellius-review-8988889)"** **Rating:** 4.5/5.0 stars *— Abhinav M.* [Read full review](https://www.g2.com/survey_responses/tellius-review-8988889) --- #### What Are G2 Users Discussing About Tellius? - [What is Tellius used for?](https://www.g2.com/discussions/what-is-tellius-used-for) ### 6. [MINEO](https://www.g2.com/products/mineo/reviews) MINEO is the platform to explore your data, build and deploy Python supercharged notebooks. It also monitors the quality of your data using machine learning A better Python Notebook --------------------------------- Mineo takes Python notebooks to the next level by adding production-grade features such as: \* Switchable layout modes: Notebook, Dashboard and Mobile. \* No code Widgets (SQL Query, Graphics, Tables, KPIs, Title, Images, and Forms) to explore and interact with your content without programming. \* Integrated SQL Data sources to access databases directly. \* Compatible with Jupyter notebooks. Import your existing notebooks from .ipynb or export from mineo to other apps. \* Built-in version control system \* Ability to share and work collaboratively. \* Integrated filesystem to store your data up to 10TB. \* Ability to export your notebook to PDF \* Support for project wide variables \* Support for Python blocks, Markdown, LaTeX and Widgets. \* Detailed logs and permissions (view, view code, execute) at user/group level. \* Automatic code generation powered by OpenAI. **Average Rating:** 4.8/5.0 **Total Reviews:** 11 **How Do G2 Users Rate MINEO?** - **Steps to Answer:** 9.5/10 (Category avg: 8.4/10) - **Reports Interface:** 9.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.6/10 (Category avg: 8.5/10) **Who Is the Company Behind MINEO?** - **Seller:** [MINEO Data Solutions S.L.](https://www.g2.com/sellers/mineo-data-solutions-s-l) - **Year Founded:** 2023 - **HQ Location:** Madrid, Spain - **LinkedIn® Page:** https://www.linkedin.com/company/mineo-app/ (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 73% Small-Business, 27% Mid-Market #### What Are Recent G2 Reviews of MINEO? **"[Elevating Python Notebooks to New Heights](https://www.g2.com/survey_responses/mineo-review-8622474)"** **Rating:** 5.0/5.0 stars *— Elias E.* [Read full review](https://www.g2.com/survey_responses/mineo-review-8622474) --- **"[MINEO has the features of Power Bi and Google Colab, all in one.](https://www.g2.com/survey_responses/mineo-review-8576558)"** **Rating:** 5.0/5.0 stars *— Juan Pedro P.* [Read full review](https://www.g2.com/survey_responses/mineo-review-8576558) --- ### 7. [Inzata](https://www.g2.com/products/inzata/reviews) Inzata is a data analytics platform for integrating, exploring, and analyzing data of any kind, from any source, at massive scale with impeccable speed. Go from raw data to actionable insights in under 30 minutes! Powerful Artificial Intelligence-based data modeling and a patented analytics engine help users quickly load, blend, prep and model raw and unstructured data into powerful enterprise data models, actionable real-time analytics, and engaging visualizations. We help people explore and discover the value of their data, in record time. We pride ourselves on our ability to build 360° views of any company's data, across a multitude of systems, in minutes. Inzata's experience provides the future of Big Data analysis: extremely fast, accurate, and machine-accelerated. **Average Rating:** 4.7/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Inzata?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.1/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Inzata?** - **Seller:** [Inzata](https://www.g2.com/sellers/inzata) - **Year Founded:** 2016 - **HQ Location:** Tampa, Florida - **Twitter:** @InzataAnalytics (310 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/inzata/ (23 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 20% Mid-Market #### What Are Recent G2 Reviews of Inzata? **"[it makes analytics easy along with responsiveness.](https://www.g2.com/survey_responses/inzata-review-8186439)"** **Rating:** 4.5/5.0 stars *— Shailesh M.* [Read full review](https://www.g2.com/survey_responses/inzata-review-8186439) --- **"[Power and functionality](https://www.g2.com/survey_responses/inzata-review-8050260)"** **Rating:** 4.5/5.0 stars *— Antonello C.* [Read full review](https://www.g2.com/survey_responses/inzata-review-8050260) --- #### What Are G2 Users Discussing About Inzata? - [What is Inzata used for?](https://www.g2.com/discussions/what-is-inzata-used-for) ### 8. [TURBOARD](https://www.g2.com/products/turboard/reviews) TURBOARD is an all-in-one business intelligence suite. Equip anyone in your organization with an easy to use data analytics tool to empower all levels with actionable intelligence. **Average Rating:** 4.4/5.0 **Total Reviews:** 10 **How Do G2 Users Rate TURBOARD?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.1/10 (Category avg: 8.5/10) **Who Is the Company Behind TURBOARD?** - **Seller:** [E-Kalite](https://www.g2.com/sellers/e-kalite) - **Year Founded:** 2004 - **HQ Location:** Ankara, TURKEY - **Twitter:** @turboard (111 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/e-quality-software-llc/ (86 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 45% Mid-Market, 27% Enterprise #### What Are Recent G2 Reviews of TURBOARD? **"[Great Intuitive Tool for Business Intelligence](https://www.g2.com/survey_responses/turboard-review-8561835)"** **Rating:** 4.5/5.0 stars *— Sagar C.* [Read full review](https://www.g2.com/survey_responses/turboard-review-8561835) --- **"[Displaying data in a simple and intuitive way](https://www.g2.com/survey_responses/turboard-review-8539396)"** **Rating:** 4.0/5.0 stars *— Antonello C.* [Read full review](https://www.g2.com/survey_responses/turboard-review-8539396) --- #### What Are G2 Users Discussing About TURBOARD? - [What is TURBOARD used for?](https://www.g2.com/discussions/what-is-turboard-used-for) - 1 comment ### 9. [Pyramid](https://www.g2.com/products/pyramid-analytics-pyramid/reviews) Pyramid is a tier one, enterprise-grade Analytics Operating System that scales from single-user self-service analytics to thousand-user centralized deployments—covering simple-but-effective data visualizations to advanced machine learning capabilities. The agnostic Analytics OS features a universal client for any device and OS. It can be installed on most platforms—both on-premises or in the cloud—and it can operate against and with most popular data stacks. Pyramid allows users and organizations to balance self-service productivity and governance. It is an adaptive analytic platform that provides different capabilities and experiences based on user needs and skills, all while managing content as a shared resource. It is designed to support your organization’s entire decision workflow, and give everyone the tools to conduct self-service analytics. Importantly, the Analytics OS solves the “last mile problem,” closing the gap between your organization’s stated analytics strategy and actual analytics implementation. Pyramid features six distinct analytics modules (Model, Formulate, Discover, Illustrate, Present, and Publish)—plus an Administrative Console and Content Management System—to deliver a truly universal analytics experience across the entire analytics workflow. **Average Rating:** 4.1/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Pyramid?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.8/10 (Category avg: 8.4/10) - **Reports Interface:** 7.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Pyramid?** - **Seller:** [Pyramid Analytics](https://www.g2.com/sellers/pyramid-analytics) - **Year Founded:** 2008 - **HQ Location:** Amsterdam - **Twitter:** @PyramidAnalytic (10,219 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1919217/ (107 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Enterprise, 35% Small-Business #### What Are Recent G2 Reviews of Pyramid? **"[Pyramid is flexible and ready to accommodate any changes with clients requirements.](https://www.g2.com/survey_responses/pyramid-review-5086738)"** **Rating:** 4.5/5.0 stars *— Verified User in Medical Devices* [Read full review](https://www.g2.com/survey_responses/pyramid-review-5086738) --- **"[Pyramid has a lot to offer and many quick tools for presentation](https://www.g2.com/survey_responses/pyramid-review-3879861)"** **Rating:** 5.0/5.0 stars *— Paul H.* [Read full review](https://www.g2.com/survey_responses/pyramid-review-3879861) --- ### 10. [Transform App](https://www.g2.com/products/transform-app/reviews) Transform App is the only business intelligence product built with a metrics-first philosophy. Which means we can do things no other BI tool can. The Transform App has all the analytics capabilities growing businesses expect—stunning visualizations, powerful governance tools, and intelligent monitoring and alerting—but it takes it a step further. Transform App is built on MetricFlow, an advanced open-sourced semantic layer. MetricFlow’s powerful developer tools and no-code interface make it easy for data teams to create consistency, everywhere. This semantic layer construction creates never-before-seen analytical experiences. Ensure your data tells a story, with features like Annotations, Q&A, and Metric-level Metadata. Make adoption across the org painless, with built-in integrations to Google Sheets, Excel, Tableau, and other tools your business users need. Make sharing painless—unlike other advanced BI tools, Transform doesn’t charge per user. BI should always have been this way. **Average Rating:** 4.3/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Transform App?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.4/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Transform App?** - **Seller:** [Transform](https://www.g2.com/sellers/transform-4649411d-f4db-4174-b2bc-622970945060) - **Year Founded:** 2016 - **HQ Location:** Philadelphia, PA - **Twitter:** @getdbt (14,792 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Small-Business, 30% Enterprise #### What Are Recent G2 Reviews of Transform App? **"[convenience, easy communication with customers, and online useage](https://www.g2.com/survey_responses/transform-app-review-8844271)"** **Rating:** 4.5/5.0 stars *— Manoj Kumar S.* [Read full review](https://www.g2.com/survey_responses/transform-app-review-8844271) --- **"[Amazing app!!!](https://www.g2.com/survey_responses/transform-app-review-8846896)"** **Rating:** 5.0/5.0 stars *— Mohamed M.* [Read full review](https://www.g2.com/survey_responses/transform-app-review-8846896) --- ### 11. [CaliberMind](https://www.g2.com/products/calibermind/reviews) CaliberMind is the GTM Intelligence and Multi-Touch Attribution platform for enterprise marketers seeking to make data-driven decisions. The platform solves the critical challenge of fragmented and siloed data by unifying disconnected marketing and sales engagement signals into a single, reliable view of the buyer journey. By connecting prospect activities directly to outcomes, CaliberMind delivers a complete picture of go-to-market performance attributing it to the hard unit of measure that business cares about - the revenue dollars. Our AI-assisted reporting features leverage this unified data foundation to streamline creation of role-based dashboards and aggregation of buyer journey summaries, turning data chaos into clear, actionable insights. This empowers marketing teams to confidently prove their impact, optimize campaign performance, and shift their focus from manual reporting to making the strategic decisions that drive predictable revenue. We help Marketing Operations, Sales Operations and Revenue Operations Teams to Deploy Analytics and Custom Reporting At Scale. The era of spreadsheet scrambles, ad-hoc report pulls, and data guesswork that takes days is over. MOps teams shouldn’t be buried in tickets and manual rework — and Marketing leadership shouldn’t have to wait for their reports and then wonder if the numbers are right. CaliberMind helps you solve for both: Our dashboards deliver executive-ready insights, powered by harmonized data — no stitching, no second-guessing. Say goodbye to double-counting, under-reporting, and data wrangling. Say hello to “give me five minutes to check that.” **Average Rating:** 4.5/5.0 **Total Reviews:** 188 **How Do G2 Users Rate CaliberMind?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 3.9/10 (Category avg: 8.4/10) - **Reports Interface:** 7.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 5.6/10 (Category avg: 8.5/10) **Who Is the Company Behind CaliberMind?** - **Seller:** [CaliberMind](https://www.g2.com/sellers/calibermind) - **Company Website:** https://www.CaliberMind.com - **Year Founded:** 2016 - **HQ Location:** Boulder, CO - **Twitter:** @calibermind (640 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/6439916/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Account Executive - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 49% Mid-Market, 44% Enterprise #### What Are CaliberMind's Pros and Cons? **Pros:** - Ease of Use (42 reviews) - Insights (40 reviews) - Attribution Accuracy (37 reviews) - Helpful (36 reviews) - Analytics (35 reviews) **Cons:** - Learning Curve (42 reviews) - Complexity (20 reviews) - Steep Learning Curve (19 reviews) - Limitations (14 reviews) - Not Intuitive (14 reviews) ### What Do G2 Reviewers Say About CaliberMind? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of CaliberMind, appreciating its simple setup and flexibility in reporting. - Users value the **in-depth insights** from CaliberMind, enhancing visibility into marketing impact and facilitating effective reporting. - Users value the **attribution accuracy** of CaliberMind, enabling precise insights into marketing impact on performance and budgeting. - Users commend the **responsive customer support** of CaliberMind, highlighting their quick solutions and dedication to satisfaction. - Users value the **insightful analytics** of CaliberMind, enabling deep campaign performance and revenue visibility across channels. **Cons:** - Users face a **steep learning curve** with CaliberMind, making setup and adoption challenging, especially for new marketers. - Users find the **complexity** of sharing data and navigating the platform to be a significant hurdle. - Users face a **steep learning curve** with CaliberMind, particularly for new marketers adapting to attribution concepts. - Users find **limitations in engagement capabilities** and express a need for improved organization and speed. - Users find CaliberMind's interface **not intuitive** , leading to challenges with configuration, setup, and data visualization. #### What Are Recent G2 Reviews of CaliberMind? **"[Flexible Attribution Models with Insightful Journey Reporting and Great Support](https://www.g2.com/survey_responses/calibermind-review-12946187)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/calibermind-review-12946187) --- **"[Clear Multi-Channel Revenue Impact Insights in One UI](https://www.g2.com/survey_responses/calibermind-review-12706399)"** **Rating:** 4.5/5.0 stars *— Kaitlyn H.* [Read full review](https://www.g2.com/survey_responses/calibermind-review-12706399) --- #### What Are G2 Users Discussing About CaliberMind? - [How do you use Calibermind?](https://www.g2.com/discussions/how-do-you-use-calibermind) - [What is the use of Calibermind?](https://www.g2.com/discussions/what-is-the-use-of-calibermind) - 1 comment - [What is Leadspace?](https://www.g2.com/discussions/what-is-leadspace) - [What does CaliberMind do?](https://www.g2.com/discussions/what-does-calibermind-do) - 1 comment ### 12. [Phrazor by vPhrase](https://www.g2.com/products/phrazor-by-vphrase/reviews) Phrazor by vPhrase Analytics is a self-service augmented analytics solution that delivers AI-powered stories from data. It uses NLG capabilities to automatically generate deep insights from complex datasets in digestible language and a narrative format. Phrazor’s applicability has been proven in Marketing, BFSI, FMCG, Pharmaceutical, Logistics, and more industries. Free trial for G2 users: https://phrazor.ai/trial **Average Rating:** 4.7/5.0 **Total Reviews:** 23 **How Do G2 Users Rate Phrazor by vPhrase?** - **Steps to Answer:** 6.7/10 (Category avg: 8.4/10) - **Reports Interface:** 6.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Phrazor by vPhrase?** - **Seller:** [vPhrase Analytics Solutions](https://www.g2.com/sellers/vphrase-analytics-solutions) - **Year Founded:** 2015 - **HQ Location:** Mumbai, India - **Twitter:** @vphrase (269 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/vphrase/ (8 employees on LinkedIn®) - **Total Revenue (USD mm):** $2 **Who Uses This Product?** - **Company Size:** 43% Enterprise, 43% Mid-Market #### What Are Recent G2 Reviews of Phrazor by vPhrase? **"[Phrase language enhancing accuracy](https://www.g2.com/survey_responses/phrazor-by-vphrase-review-8748097)"** **Rating:** 5.0/5.0 stars *— Long M.* [Read full review](https://www.g2.com/survey_responses/phrazor-by-vphrase-review-8748097) --- **"[Phrazor has helped us improve our Operational efficiency without the need of an Analytics team](https://www.g2.com/survey_responses/phrazor-by-vphrase-review-4843805)"** **Rating:** 5.0/5.0 stars *— Shabbir M.* [Read full review](https://www.g2.com/survey_responses/phrazor-by-vphrase-review-4843805) --- #### What Are G2 Users Discussing About Phrazor by vPhrase? - [What is Phrazor by vPhrase used for?](https://www.g2.com/discussions/what-is-phrazor-by-vphrase-used-for) ### 13. [Salient](https://www.g2.com/products/salient-management-company-salient/reviews) Salient’s Consumer Goods Application gives you a complete picture of performance by correlating all relevant information your company gathers. Sources include Route Accounting Systems, cost of goods, operations, financials, as well as syndicated data such as Nielsen or IRI. This allows executives, sales managers, and field reps to evaluate sales and profitability within their customers and products, as well as improve effectiveness of space allotted. **Average Rating:** 4.4/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Salient?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.8/10 (Category avg: 8.4/10) - **Reports Interface:** 9.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Salient?** - **Seller:** [Salient Management Company](https://www.g2.com/sellers/salient-management-company) - **Year Founded:** 1986 - **HQ Location:** Horseheads, NY - **Twitter:** @SalientMgmtComp (17 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/18594/ (162 employees on LinkedIn®) - **Phone:** 607-739-4511 **Who Uses This Product?** - **Top Industries:** Food & Beverages - **Company Size:** 69% Mid-Market, 38% Enterprise #### What Are Salient's Pros and Cons? **Pros:** - Customization (1 reviews) - Data Analysis (1 reviews) - Data Visualization (1 reviews) - Features (1 reviews) - Reporting (1 reviews) **Cons:** - Expensive (1 reviews) - Not User-Friendly (1 reviews) ### What Do G2 Reviewers Say About Salient? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **customization options** in Salient, enabling tailored reporting and functionality for diverse needs. - Users value the **flexible data analysis** capabilities of Salient, allowing tailored reports and insights into customer spending. - Users value the **customizable data visualization** capabilities of Salient, allowing easy access to tailored reports and insights. - Users value the **flexible reporting features** of Salient, allowing for tailored insights and data analysis. - Users value the **versatile reporting capabilities** of Salient, enabling detailed insights and customizable data analysis. **Cons:** - Users find the product **expensive** since only one user can use it at a time, requiring multiple purchases. - Users find Salient **not user-friendly** due to restrictions on single-user access, complicating collaborative tasks. #### What Are Recent G2 Reviews of Salient? **"[Keeps Records Tidy](https://www.g2.com/survey_responses/salient-review-11023621)"** **Rating:** 5.0/5.0 stars *— Verified User in Supermarkets* [Read full review](https://www.g2.com/survey_responses/salient-review-11023621) --- **"[Great reporting tool](https://www.g2.com/survey_responses/salient-review-4933416)"** **Rating:** 4.5/5.0 stars *— Tricia A.* [Read full review](https://www.g2.com/survey_responses/salient-review-4933416) --- #### What Are G2 Users Discussing About Salient? - [What is Margin Minder used for?](https://www.g2.com/discussions/what-is-margin-minder-used-for) ### 14. [Stratifyd](https://www.g2.com/products/stratifyd/reviews) Stratifyd is the only next-gen experience analytics platform powered by Smart AI™ that empowers people of all skill levels to move beyond traditional customer experience analytics. By surfacing insights that existing approaches may miss, Stratifyd Smart AI™ takes the burden of manual analytics off teams, proactively surfacing hidden signals and themes 24/7 to ensure you never miss another insight. Today, many organizations have tons of data but lack the ability, time, resources, or budget to truly expose the insights that matter most to them. This is where Stratifyd stands out. With these challenges in mind, we have purpose-built the Stratifyd platform that will unify data from all your different sources and, through Smart AI™, automatically uncover the actionable insights you didn't know you were missing to: - Hit mission critical KPIs - Grow revenue - Drive loyalty - Reduce costs - Improve efficiency **Average Rating:** 4.3/5.0 **Total Reviews:** 18 **How Do G2 Users Rate Stratifyd?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 6.7/10 (Category avg: 8.4/10) - **Reports Interface:** 10.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Stratifyd?** - **Seller:** [Stratifyd](https://www.g2.com/sellers/stratifyd) - **Year Founded:** 2015 - **HQ Location:** Charlotte, US - **Twitter:** @getStratifyd (997 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10813350/ (14 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 70% Enterprise, 20% Mid-Market #### What Are Recent G2 Reviews of Stratifyd? **"[Great company and solution to help uncover actionable customer insights](https://www.g2.com/survey_responses/stratifyd-review-4808690)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/stratifyd-review-4808690) --- **"[Rich, automated insights](https://www.g2.com/survey_responses/stratifyd-review-4930224)"** **Rating:** 4.5/5.0 stars *— Craig W.* [Read full review](https://www.g2.com/survey_responses/stratifyd-review-4930224) --- #### What Are G2 Users Discussing About Stratifyd? - [How do you use Stratifyd?](https://www.g2.com/discussions/how-do-you-use-stratifyd) - [What is the use of Stratifyd?](https://www.g2.com/discussions/what-is-the-use-of-stratifyd) - [When was Stratifyd founded?](https://www.g2.com/discussions/when-was-stratifyd-founded) ### 15. [Promethium](https://www.g2.com/products/promethium/reviews) Promethium delivers self-service data at AI scale through its revolutionary Instant Data Fabric™ — the first agentic platform purpose-built for modern enterprises. Unlike traditional data architectures that require complex ETL pipelines and data movement, Promethium provides real-time, zero-copy access to distributed data across cloud, on-premises, and SaaS platforms. The platform's 360° Context Engine aggregates technical and business metadata to ensure accurate, contextual responses, while Mantra™, our Data Answer Agent, enables teams to build and share reusable data products instantly. Promethium empowers data teams to respond 10x faster to business questions while maintaining enterprise-grade governance and security. **Average Rating:** 4.2/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Promethium?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Promethium?** - **Seller:** [Promethium](https://www.g2.com/sellers/promethium) - **Year Founded:** 2018 - **HQ Location:** Menlo Park, US - **Twitter:** @PromethiumI (366 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/pm61data/ (34 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Mid-Market, 31% Enterprise #### What Are Promethium's Pros and Cons? **Pros:** - Insights (4 reviews) - Analytics (3 reviews) - Collaboration (2 reviews) - Data Management (2 reviews) - Data Visualization (2 reviews) **Cons:** - Complexity (1 reviews) - Complex Usage (1 reviews) - Difficult Learning (1 reviews) - Lacking Features (1 reviews) - Limited Features (1 reviews) ### What Do G2 Reviewers Say About Promethium? *AI-generated summary from verified user reviews* **Pros:** - Users value the **centralized data management** of Promethium, enhancing collaboration and decision-making through comprehensive analytics. - Users appreciate the **centralized analytics** of Promethium, enhancing teamwork and decision-making through accessible data management. - Users value the **centralized collaboration** features of Promethium, enhancing teamwork and decision-making through data analytics. - Users commend the **centralized data management** of Promethium, enhancing teamwork and simplifying analytics with AI. - Users value the **interactive visualizations** of Promethium, which enhance data understanding and decision-making capabilities. **Cons:** - Users find that **complex insights** from Promethium can be difficult to interpret, especially for non-expert users. - Users find that **complex insights** can be difficult to interpret for those without expertise, limiting usability. - Users find the **difficult learning** curve of Promethium hampers their ability to interpret complex insights effectively. - Users find the **lack of features** in Promethium frustrating compared to other analytics tools. - Users find the **limited features** of Promethium frustrating, especially compared to more robust analytics tools. #### What Are Recent G2 Reviews of Promethium? **"[Promethium](https://www.g2.com/survey_responses/promethium-review-8335269)"** **Rating:** 4.0/5.0 stars *— Tulika .* [Read full review](https://www.g2.com/survey_responses/promethium-review-8335269) --- **"[Great SaaS service to leverage digital transformation](https://www.g2.com/survey_responses/promethium-review-8843317)"** **Rating:** 4.0/5.0 stars *— Yahveh D.* [Read full review](https://www.g2.com/survey_responses/promethium-review-8843317) --- ### 16. [Analyzer](https://www.g2.com/products/analyzer/reviews) Analyzer™ harnesses a powerful partnership with Microsoft SQL Server Analysis Services. Analyzer’s OLAP-based design lets users explore their data in any direction, allowing them to validate theories and learn more about their business. The seamless integration with SQL Server continues as Analyzer™ helps users build intelligent dashboards and reports using SQL Server’s KPI feature. Leading organizations such as Walmart, L’Oreal, Nissan, LexisNexis, Eli Lilly, DataQuick, Allstate, and Honda have discovered the many benefits of using Analyzer™ for their mission-critical business intelligence. Analyzer™ is currently used by multiple industries and service business models such as SaaS, OEM, Enterprise, Resellers and Partners. **Average Rating:** 4.2/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Analyzer?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.2/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Analyzer?** - **Seller:** [Strategy Companion](https://www.g2.com/sellers/strategy-companion) - **Year Founded:** 2005 - **HQ Location:** Irvine, CA - **Twitter:** @StrategyComp (452 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/155860/ (17 employees on LinkedIn®) - **Phone:** 714-460-8398 **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 76% Mid-Market, 14% Small-Business #### What Are Recent G2 Reviews of Analyzer? **"[Analyzer is a very powerful BI tool](https://www.g2.com/survey_responses/analyzer-review-196795)"** **Rating:** 4.0/5.0 stars *— Ryan M.* [Read full review](https://www.g2.com/survey_responses/analyzer-review-196795) --- **"[Strategy Companion Analyzer](https://www.g2.com/survey_responses/analyzer-review-195794)"** **Rating:** 5.0/5.0 stars *— Kameron V.* [Read full review](https://www.g2.com/survey_responses/analyzer-review-195794) --- ### 17. [ReportServer](https://www.g2.com/products/reportserver/reviews) Powerful ad-hoc analysis coupled with support for OLAP and pixel-perfect reporting. With ReportServer you are not limited to one provider's solutions. ReportServer integrates Jasper, Eclipse BIRT, Mondrian and Excel-based reporting: choose what best suits your needs! On top, it comes with powerful admin tools and scripting capabilities that make integration into any environment easy. ReportServer Community Edition is freely available under the open source AGPL license. The feature extended ReportServer Enterprise Edition can be fully tested for 45 days. Just give it a try. **Average Rating:** 4.2/5.0 **Total Reviews:** 25 **How Do G2 Users Rate ReportServer?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.3/10 (Category avg: 8.4/10) - **Reports Interface:** 7.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.3/10 (Category avg: 8.5/10) **Who Is the Company Behind ReportServer?** - **Seller:** [InfoFabrik GmbH](https://www.g2.com/sellers/infofabrik-gmbh) - **HQ Location:** Wiesbaden, Germany - **LinkedIn® Page:** https://www.linkedin.com/company/3210261/ **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 48% Small-Business, 36% Mid-Market #### What Are Recent G2 Reviews of ReportServer? **"[Excellent Option for BI](https://www.g2.com/survey_responses/reportserver-review-239405)"** **Rating:** 4.5/5.0 stars *— Alexandre R.* [Read full review](https://www.g2.com/survey_responses/reportserver-review-239405) --- **"[Likely Value Leader in Reporting Platforms](https://www.g2.com/survey_responses/reportserver-review-223854)"** **Rating:** 4.5/5.0 stars *— Ken L.* [Read full review](https://www.g2.com/survey_responses/reportserver-review-223854) --- ### 18. [The Reporting Hub](https://www.g2.com/products/the-reporting-hub/reviews) Reporting Hub is a web-based business intelligence (BI) portal that enables organizations to securely deliver Microsoft Power BI reports to external and internal users through a branded, white-label web application. It is a type of embedded analytics and BI delivery solution designed to help software companies, service providers, and data teams scale the distribution of Power BI content without building or maintaining custom applications. Built on Microsoft Power BI Embedded, Reporting Hub deploys directly into an organization’s own Azure environment and integrates with its existing Power BI tenant and Azure Active Directory. This architecture allows companies to offer analytics-as-a-service while maintaining control over security, infrastructure, and data governance. Reporting Hub is intended for scenarios where reports need to be shared with customers, partners, or stakeholders who do not have Power BI or Microsoft licenses. The platform removes the need for custom development by providing a pre-built portal that handles authentication, report access, and user management. Power BI content creators require a Power BI Pro license to build and publish reports, while report consumers can view and interact with content without individual licenses, using capacity-based Power BI Embedded licensing instead. Reporting Hub is commonly used by organizations that want to scale analytics delivery, embed Power BI into customer-facing solutions, or provide external reporting access without increasing per-user licensing costs. Key capabilities and characteristics include: White-label BI portal: A customizable, branded web application for delivering Power BI reports to customers, partners, or internal audiences. Power BI Embedded integration: Uses capacity-based licensing so report viewers do not require individual Power BI or Microsoft licenses. Azure-native deployment: Deploys into the customer’s own Azure environment and integrates with Azure Active Directory and their Power BI tenant. No-code implementation: Eliminates the need for developers by providing a pre-built solution with a guided, self-serve installer. Scalable analytics delivery: Supports large audiences and external users without incremental per-user licensing costs. Reporting Hub is suited for SaaS providers, consultancies, and enterprises that need a scalable, secure, and maintainable way to distribute Power BI analytics beyond traditional internal users. **Average Rating:** 4.5/5.0 **Total Reviews:** 10 **How Do G2 Users Rate The Reporting Hub?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Reports Interface:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind The Reporting Hub?** - **Seller:** [The Reporting Hub](https://www.g2.com/sellers/the-reporting-hub) - **HQ Location:** 1150, 707 - 7th Avenue SW Calgary, ABCanada T2P 3H6 - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 30% Mid-Market #### What Are Recent G2 Reviews of The Reporting Hub? **"[Robust Front End with Excellent Support](https://www.g2.com/survey_responses/the-reporting-hub-review-12562418)"** **Rating:** 4.0/5.0 stars *— JG C.* [Read full review](https://www.g2.com/survey_responses/the-reporting-hub-review-12562418) --- **"[Effortless BI Reporting with Seamless Integration](https://www.g2.com/survey_responses/the-reporting-hub-review-12546826)"** **Rating:** 5.0/5.0 stars *— Anusha V.* [Read full review](https://www.g2.com/survey_responses/the-reporting-hub-review-12546826) --- ### 19. [Composable DataOps](https://www.g2.com/products/composable-dataops/reviews) Composable Enterprise is the industry’s leading Intelligent DataOps platform that offers a full portfolio of capabilities for orchestration, automation and analytics, ensuring that analytics can be rapidly deployed into business workflows. **Average Rating:** 4.1/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Composable DataOps?** - **Has the product been a good partner in doing business?:** 7.1/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 7.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Composable DataOps?** - **Seller:** [Composable Analytics](https://www.g2.com/sellers/composable-analytics) - **Year Founded:** 2014 - **HQ Location:** Cambridge, Massachusetts - **Twitter:** @DataFlowLabs (430 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/composable-analytics-inc- (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 42% Enterprise #### What Are Recent G2 Reviews of Composable DataOps? **"[Composable, product at right time and right place!](https://www.g2.com/survey_responses/composable-dataops-review-8561589)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/composable-dataops-review-8561589) --- **"[Unlocking Data's Potential of Composable DataOps Platforms](https://www.g2.com/survey_responses/composable-dataops-review-8508363)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/composable-dataops-review-8508363) --- #### What Are G2 Users Discussing About Composable DataOps? - [What is Composable DataOps Platform used for?](https://www.g2.com/discussions/what-is-composable-dataops-platform-used-for) ### 20. [Deep.BI](https://www.g2.com/products/deep-bi/reviews) Deep.BI measures content consumption metrics and provides user engagement scoring to power publisher's content delivery, marketing tools and paywalls to grow, engage and retain audiences. Deep.BI collects all kinds of raw event data related to publishing, like reader’s behavior and content performance, and analyzes this data in real-time (sub-second latency between ingestion and data visualization). By collecting first-party raw data (no sampling & no aggregation), publishers get unprecedented flexibility in building their own metrics, reports, and different strategies for different kinds of content. This also allows publishers to quickly test hypotheses on both live and historical data. These dashboards and reports are shareable and customizable across teams making the workload on the analysts much lighter and gives them the ability to deliver what they want to deliver in the way they want and in lightning speeds! **Average Rating:** 4.4/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Deep.BI?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.4/10) - **Reports Interface:** 9.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Deep.BI?** - **Seller:** [Deep.BI](https://www.g2.com/sellers/deep-bi) - **Year Founded:** 2016 - **HQ Location:** San Francisco, California - **Twitter:** @_DeepBI (962 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/deep-bi/ (18 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 40% Mid-Market #### What Are Deep.BI's Pros and Cons? **Pros:** - Analytics (2 reviews) - Insights (2 reviews) - Insights Generation (2 reviews) - Audience Engagement (1 reviews) - Automation (1 reviews) **Cons:** - Coding Difficulty (1 reviews) - Confusing Interface (1 reviews) - Not Intuitive (1 reviews) - Poor Interface Design (1 reviews) - Poor UI Design (1 reviews) ### What Do G2 Reviewers Say About Deep.BI? *AI-generated summary from verified user reviews* **Pros:** - Users value the **real-time actionable insights** from Deep.BI, enhancing their ability to analyze data effectively. - Users appreciate the **real-time actionable insights** from Deep.BI, enhancing their ability to analyze customer interactions swiftly. - Users value the **real-time actionable insights** from Deep.BI, enabling efficient decision-making based on customer behavior. - Users value the **real-time actionable insights** from Deep.BI, enhancing customer interaction understanding and content performance. - Users value the **automation** capabilities of Deep.BI, streamlining the creation of BI dashboards efficiently. **Cons:** - Users find the **coding difficulty** of Deep.BI challenging, requiring technical skills for effective use. - Users find Deep.BI's interface **confusing for layman users** , making it difficult to navigate effectively. - Users feel the interface is **not intuitive** , making it challenging for layman users to navigate Deep.BI effectively. - Users find the **UI/UX lacking** , especially for those not familiar with advanced technical interfaces. - Users find the **UI/UX lacking** , particularly challenging for those unfamiliar with technology. #### What Are Recent G2 Reviews of Deep.BI? **"[Helpful real-time data processing](https://www.g2.com/survey_responses/deep-bi-review-10032368)"** **Rating:** 4.0/5.0 stars *— Frederic G.* [Read full review](https://www.g2.com/survey_responses/deep-bi-review-10032368) --- **"[Useful for processing data and assessing reports in real time](https://www.g2.com/survey_responses/deep-bi-review-10391757)"** **Rating:** 4.0/5.0 stars *— Komal R.* [Read full review](https://www.g2.com/survey_responses/deep-bi-review-10391757) --- #### What Are G2 Users Discussing About Deep.BI? - [What is the three 3 capabilities of BIS business intelligence system?](https://www.g2.com/discussions/what-is-the-three-3-capabilities-of-bis-business-intelligence-system) - [What are the functions of BI systems?](https://www.g2.com/discussions/what-are-the-functions-of-bi-systems) - [What are the key capabilities of BI?](https://www.g2.com/discussions/what-are-the-key-capabilities-of-bi) ### 21. [Infoveave](https://www.g2.com/products/infoveave/reviews) Infoveave is an AI-powered unified data platform that helps enterprises automate data pipelines, improve data quality, enable predictive analytics, and turn insights into measurable business actions — all within a single environment. Unlike traditional BI tools or standalone ETL platforms, Infoveave connects the entire data lifecycle from ingestion and transformation to governance, analytics, and operational execution. Infoveave is built on a strong foundation of data governance and data security, ensuring consistent data management, compliance, and protection. With capabilities like data lineage tracking, metadata management, row-level security, and audit trails, the platform helps maintain data integrity and control. Key Features Fovea - AgenticAI Assistant Infoveave's AgenticAI, Fovea, is embedded across the platform. Fovea assists in building data transformations, suggesting insights, automating workflows, and simplifying advanced analytics, reducing technical dependency and improving cross-team adoption. Data Automation & Integration • 50+ native connectors (cloud apps, databases, warehouses) • Automated data ingestion & transformation • Workflow orchestration with monitoring & alerts • Real-time pipeline visibility AI-Powered Analytics & Predictive Modeling • AutoML for predictive insights • What-if scenario planning • Python integration for advanced modeling • API-accessible analytics endpoints Conversational Dashboards & Self-Service BI • Natural language queries • 100+ interactive visuals • Drill-down exploration • Scheduled & automated reporting Built-in Data Quality & Governance • Automated validation & anomaly detection • Data catalog & lineage tracking • Role-based access control • Audit trails & governance workflows Data Apps & Operational Workflows • Low-code applications • Integrated data capture forms • Automated decision triggers • Insight-to-action workflows Business Value • Faster deployment of data pipelines • Improved data accuracy and trust • Reduced reliance on multiple disconnected tools • Faster decision-making cycles • Measurable operational efficiency Infoveave unifies data automation, AI-powered analytics, governance, and operational workflows into one intelligent platform — turning enterprise data into trusted, actionable decisions. **Average Rating:** 4.9/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Infoveave?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 9.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Infoveave?** - **Seller:** [Noesys Software](https://www.g2.com/sellers/noesys-software) - **HQ Location:** N/A - **Twitter:** @infoveave (15 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/infoveave-pty-ltd/ (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Small-Business, 22% Enterprise #### What Are Infoveave's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Easy Integrations (3 reviews) - Features (3 reviews) - Community Support (2 reviews) - Customer Support (2 reviews) **Cons:** - Poor Customer Support (2 reviews) - Dashboard Issues (1 reviews) - Data Cleaning (1 reviews) - Data Inaccuracy (1 reviews) - Data Integration (1 reviews) ### What Do G2 Reviewers Say About Infoveave? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Infoveave, highlighting smooth implementation and quick data integration for dashboards. - Users value the **easy integrations** of Infoveave, enhancing data management and expediting dashboard creation. - Users value the **ease of use and quick implementation** of Infoveave, enhancing productivity and efficient reporting. - Users appreciate the **excellent community support** from Infoveave, enhancing their overall experience and reliability of the solution. - Users highlight the **excellent customer support** of Infoveave, praising its reliability and quality throughout their experience. **Cons:** - Users note the lack of **help content** , relying too much on customer support for guidance and tutorials. - Users struggle with **dashboard issues** that necessitate complex data restructuring for multi-tenant report isolation. - Users face **significant data restructuring** issues due to initial difficulties with dashboards for multi-tenant reports. - Users face significant challenges due to **data inaccuracy** requiring extensive reconfiguration of tenant-specific reports. - Users face **initial difficulties with data integration** , requiring extensive restructuring to achieve effective reporting across multiple tenants. #### What Are Recent G2 Reviews of Infoveave? **"[Scalable data automation for multi-site operations: Our unified source of truth](https://www.g2.com/survey_responses/infoveave-review-12599874)"** **Rating:** 5.0/5.0 stars *— Satish G.* [Read full review](https://www.g2.com/survey_responses/infoveave-review-12599874) --- **"[Infoveave Delivers Powerful, User-Friendly Shopfloor Intelligence](https://www.g2.com/survey_responses/infoveave-review-12600038)"** **Rating:** 5.0/5.0 stars *— Chore R.* [Read full review](https://www.g2.com/survey_responses/infoveave-review-12600038) --- ### 22. [LUX](https://www.g2.com/products/lux/reviews) LUX™ comprises two main parts: a User Interface (UI) and an analytics platform. The UI allows a user to ask questions and then explore and understand the resulting answers using a set of purpose-built visualizations. LUX™ itself has 3 separate sub-systems—(1) the real time pipeline, (2) batch analytics, and (3) an entity manager—and can accommodate unlimited plug-ins. **Average Rating:** 3.9/5.0 **Total Reviews:** 8 **How Do G2 Users Rate LUX?** - **Steps to Answer:** 8.7/10 (Category avg: 8.4/10) - **Reports Interface:** 9.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind LUX?** - **Seller:** [Illumina Consulting Group](https://www.g2.com/sellers/illumina-consulting-group) - **HQ Location:** Chantilly, Virginia - **LinkedIn® Page:** https://www.linkedin.com/company/illumina-consulting-group-inc/ (7 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 63% Small-Business, 50% Mid-Market #### What Are LUX's Pros and Cons? **Pros:** - Customization (1 reviews) - Data Analysis (1 reviews) - Data Visualization (1 reviews) - Detailed Analysis (1 reviews) - Ease of Use (1 reviews) ### What Do G2 Reviewers Say About LUX? *AI-generated summary from verified user reviews* **Pros:** - Users love the **customization options** in LUX, enhancing comfort and reducing eye strain during prolonged use. - Users praise the **intuitive data visualization and analysis** features of LUX, enhancing productivity in data exploration. - Users find Lux's **automated data visualization suggestions** essential for efficient data exploration and enhanced productivity. - Users benefit from Lux's **intuitive interface and automated visualisation suggestions** , enhancing the efficiency of data analysis significantly. - Users find LUX to be **easy to use** , effectively soothing eyes and enhancing comfort during prolonged screen time. #### What Are Recent G2 Reviews of LUX? **"[INCREASE YOUR SLEEP AND SOOTHE YOUR EYES WITH LUX](https://www.g2.com/survey_responses/lux-review-10468780)"** **Rating:** 5.0/5.0 stars *— Rayees B.* [Read full review](https://www.g2.com/survey_responses/lux-review-10468780) --- **"[Data analysis and visualization weapon](https://www.g2.com/survey_responses/lux-review-10484896)"** **Rating:** 5.0/5.0 stars *— Inayat D.* [Read full review](https://www.g2.com/survey_responses/lux-review-10484896) --- ### 23. [MyReport](https://www.g2.com/products/report-one-myreport/reviews) MyReport Business Evolution est la solution d'analyse de données la plus facile à utiliser sur le marché français. Elle couvre toute la chaîne de valeur de la donnée : - Connexion à toutes les sources - Modélisation de tout type de données - Analyse de ces données directement dans Excel - Partage des tableaux de bord sur navigateur ou mobile - Diffusion et mise à jour des rapports via programmations **Average Rating:** 4.4/5.0 **Total Reviews:** 8 **How Do G2 Users Rate MyReport?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.4/10) - **Reports Interface:** 8.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind MyReport?** - **Seller:** [Report One](https://www.g2.com/sellers/report-one) - **Year Founded:** 2001 - **HQ Location:** Paris, FR - **LinkedIn® Page:** https://www.linkedin.com/company/myreportfr (99 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 78% Small-Business, 22% Mid-Market #### What Are MyReport's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Efficiency (3 reviews) - Customer Support (1 reviews) - Customization (1 reviews) - Data Analysis (1 reviews) **Cons:** - Complexity (2 reviews) - Bugs (1 reviews) - Complex Usage (1 reviews) - Expensive (1 reviews) - Integration Issues (1 reviews) ### What Do G2 Reviewers Say About MyReport? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of MyReport, enabling effortless report creation even for non-technical individuals. - Users benefit from the **efficient reporting functions** of MyReport, enhancing data sharing and improving overall usability. - Users value the **seamless customer support** of MyReport, aiding them in quickly resolving issues and understanding data. - Users praise the **customizable features** of MyReport, enhancing data visualization and tailoring dashboards to fit their needs. - Users appreciate the **ease of use** and effective analysis of reports in MyReport, promoting frequent usage. **Cons:** - Users find the **setup complexity** of MyReport challenging, particularly for those lacking technical skills or experience. - Users report **bugs and slow loading speeds** that hinder their overall experience with MyReport. - Users find the **complex usage** of MyReport challenging, especially during initial setup and understanding the interface. - Users feel the cost is **expensive** and desire more customizable reporting options in MyReport. - Users find the **difficulties with integration** in MyReport to be a significant barrier to effective usage. #### What Are Recent G2 Reviews of MyReport? **"[Comprehensive Review of MyReport Business Evolution](https://www.g2.com/survey_responses/myreport-review-10336516)"** **Rating:** 5.0/5.0 stars *— Veera Venkata Lakshmi R.* [Read full review](https://www.g2.com/survey_responses/myreport-review-10336516) --- **"[Reduce workload on reports using MyReports](https://www.g2.com/survey_responses/myreport-review-10492059)"** **Rating:** 5.0/5.0 stars *— MUTHU KUMARAN D.* [Read full review](https://www.g2.com/survey_responses/myreport-review-10492059) --- ### 24. [Appfire Dashboard Hub](https://www.g2.com/products/appfire-dashboard-hub/reviews) What is Dashboard Hub? Dashboard Hub is an intuitive reporting solution that transforms your work management software into a centralized data hub. It lets users create and share custom dashboards with data from multiple sources and hosting platforms. Dashboard Hub is available in two apps: Dashboard Hub Pro for Jira Dashboard Hub for Confluence Purpose With Dashboard Hub, you can create a single source of truth where everyone can gain powerful business insights and stay aligned on what matters. Key Features - Custom charts: Create your own charts to gather and present data your way. - 15+ integrations: Centralize data from tools like Jira, Confluence, monday.com, and more. - Custom integrations: Add data from any REST/API to your dashboard. - ~100 pre-built metrics: Visualize key metrics such as Time in Status and Epic Progress, to name a few. - Quick and secure sharing: Keep access to sensitive data limited and safe thanks to advanced permissions and password protection. Benefits to Users Teams can tailor data visualization and reporting according to their unique needs – gaining key insights and centralizing management in a single place, avoiding data fragmentation. Thanks to advanced customization options, users can track any metrics in a manner that works best for them. Integrations help consolidate data from multiple sources while maintaining its reliability. **Average Rating:** 4.3/5.0 **Total Reviews:** 23 **How Do G2 Users Rate Appfire Dashboard Hub?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Appfire Dashboard Hub?** - **Seller:** [Appfire](https://www.g2.com/sellers/appfire) - **Company Website:** https://appfire.com/ - **Year Founded:** 2005 - **HQ Location:** Boston, Massachusetts - **Twitter:** @Appfire (1,632 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/389303 (745 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 57% Mid-Market, 22% Enterprise #### What Are Appfire Dashboard Hub's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Customization (5 reviews) - Data Visualization (5 reviews) - Customizability (3 reviews) - Efficiency (3 reviews) **Cons:** - Learning Curve (8 reviews) - Limited Customization (3 reviews) - Complex Features (2 reviews) - Complexity (2 reviews) - Complex Usage (2 reviews) ### What Do G2 Reviewers Say About Appfire Dashboard Hub? *AI-generated summary from verified user reviews* **Pros:** - Users find the **ease of use** in Appfire Dashboard Hub allows for effortless customization and management of projects. - Users enjoy the **extensive customization** options of the Appfire Dashboard Hub, enhancing project management and collaboration. - Users value the **data visualization capabilities** of Appfire Dashboard Hub, facilitating effective analysis sharing and collaboration. - Users value the **flexible and customizable dashboards** of Appfire Dashboard Hub, enabling tailored insights for their needs. - Users value the **centralized visibility** of Appfire Dashboard Hub, streamlining data management and enhancing productivity across teams. **Cons:** - Users face a steep **learning curve** with Appfire Dashboard Hub, requiring significant training to master its features. - Users criticize the **limited customization** options in Appfire Dashboard Hub, wishing for more flexibility in metrics adjustments. - Users find the **complex features** overwhelming initially, making the learning curve steep for new users. - Users find the **complex initial setup** of Appfire Dashboard Hub overwhelming, especially with extensive customization options. - Users find the **initial setup complex** , describing a steep learning curve for new users and advanced configurations. #### What Are Recent G2 Reviews of Appfire Dashboard Hub? **"[Empowers Insightful Dashboards for Management](https://www.g2.com/survey_responses/appfire-dashboard-hub-review-11936303)"** **Rating:** 4.0/5.0 stars *— VAIBHAV J.* [Read full review](https://www.g2.com/survey_responses/appfire-dashboard-hub-review-11936303) --- **"[Appfire Dashboard Hub Makes Jira Dashboards Easy to Organize, Share, and Manage](https://www.g2.com/survey_responses/appfire-dashboard-hub-review-12248872)"** **Rating:** 4.5/5.0 stars *— Pradeepa b.* [Read full review](https://www.g2.com/survey_responses/appfire-dashboard-hub-review-12248872) --- #### What Are G2 Users Discussing About Appfire Dashboard Hub? - [What is the difference between board and dashboard in Jira?](https://www.g2.com/discussions/what-is-the-difference-between-board-and-dashboard-in-jira) - 1 comment ### 25. [Coginiti](https://www.g2.com/products/coginiti/reviews) Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to insights. Integrating with the widest variety of data platforms and tools, Coginiti enables analysts, engineers, and data scientists to collaborate in real-time, breaking down silos and fostering innovation. Its intuitive interface simplifies managing complex data workflows, ensuring governance and consistency across projects. Key Features: - Realtime Collaboration - Flexible Data Modeling - Data Quality Testing - Visualize Data Lineage - Native Scheduling - Powerful APIs - AI Assistant Coginiti facilitates a seamless transition from data preparation to actionable intelligence. It’s not just about refining your data strategy or scaling your analytics capabilities; it’s about empowering your organization to harness the full potential of data for informed decision-making. Discover the power of Coginiti and transform your data operations. Coginiti offers products for individual analysts, data teams, and enterprises. **Average Rating:** 4.5/5.0 **Total Reviews:** 29 **How Do G2 Users Rate Coginiti?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) **Who Is the Company Behind Coginiti?** - **Seller:** [Coginiti Corp](https://www.g2.com/sellers/coginiti-corp) - **Year Founded:** 2020 - **HQ Location:** Atlanta , GA - **Twitter:** @coginiti (71 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/coginiti (35 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 66% Enterprise, 28% Mid-Market #### What Are Recent G2 Reviews of Coginiti? **"[A functional app to maintain and work on all your databases](https://www.g2.com/survey_responses/coginiti-review-9002344)"** **Rating:** 5.0/5.0 stars *— Puteri P.* [Read full review](https://www.g2.com/survey_responses/coginiti-review-9002344) --- **"[Very user friendly tool to write and run queries needed to do my job](https://www.g2.com/survey_responses/coginiti-review-8657704)"** **Rating:** 5.0/5.0 stars *— Lori-Jo D.* [Read full review](https://www.g2.com/survey_responses/coginiti-review-8657704) --- #### What Are G2 Users Discussing About Coginiti? - [What is Coginiti used for?](https://www.g2.com/discussions/what-is-coginiti-used-for) - [What is Aginity Workbench for puredata system for analytics?](https://www.g2.com/discussions/what-is-aginity-workbench-for-puredata-system-for-analytics) - [What is Aginity Workbench for Netezza?](https://www.g2.com/discussions/what-is-aginity-workbench-for-netezza) - [How much does Aginity pro cost?](https://www.g2.com/discussions/how-much-does-aginity-pro-cost) ## What Is Analytics Platforms? [Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software) ## What Software Categories Are Similar to Analytics Platforms? - [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) - [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics) - [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence) - [Marketing Analytics Software](https://www.g2.com/categories/marketing-analytics) - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) - [ETL Tools](https://www.g2.com/categories/etl-tools) - [Data Preparation Software](https://www.g2.com/categories/data-preparation) --- ## How Do You Choose the Right Analytics Platforms? ### What You Should Know About Analytics Platforms ### What are analytics software platforms? Analytics platforms, also known as business intelligence (BI) platforms, enable companies to gain visibility into their data through data integration, cleansing, blending, enrichment, discovery, and more. These tools are robust systems that sometimes require IT and data science skills to access and decipher company data through custom queries.  Analytics platforms offer a comprehensive look into a company’s data by pulling from structured and unstructured data sources through detailed queries. Casual business users also benefit from analytics platforms, which offer customizable dashboards and the ability to drill into particular data points and trends. ### What types of analytics tools and platforms exist? #### **All-in-one software** ##### **Self-service analytics platforms** Self-service analytics platforms do not require coding knowledge, so business end users can use them for data needs. Cloud-based business analytics software often provides drag-and-drop functionality for building dashboards, prebuilt templates for querying data, and, occasionally, natural language querying for data discovery.  ##### **Embedded BI software** Embedded BI software can integrate proprietary analytics functionality within other business applications. Businesses may choose an embedded product to promote user adoption; by placing the analytics inside regularly used software, companies enable employees to take advantage of available data. These solutions provide self-service functionality so average business end users can use data for improved decision-making. #### **Point solutions** ##### **Root cause analysis** Companies of all sizes produce vast amounts of data from a host of different sources. It can be difficult to keep track of the ebbs and flows of data and to spot outliers and trends across tens if not hundreds (sometimes even thousands) of data sources. Some solutions provide the user with a bird' s-eye view of their data and intelligently alert them to changes in real time. Once alerted, they are able to dive in to evaluate the situation and solve it. ### What are the common features of analytics solutions? Analytics software platforms are a great aid to any organization needing timely data visualization of high-level analytics. The following are some core features within analytics platforms that can help users make the most of them: **Data preparation:**  Although standalone [data preparation software](https://www.g2.com/categories/data-preparation) exists that assists in discovering, blending, combining, cleansing, and enriching data—so large datasets can be easily integrated, consumed, and analyzed—analytics platforms must incorporate these functionalities into their core offering. In particular, analytics platforms must support data blending and modeling, allowing the end user to combine data across different databases and other data sources and to develop robust data models of this data. This is a critical step in making meaning out of the chaos by combining data from various sources. **Data management:** Once the data is properly integrated, it must be managed. This includes restricting data access to certain users, for example. Although some companies opt for a standalone data management solution, such as a data warehouse, analytics platforms must, by definition, provide some level of data management. **Data modeling and blending:** As mentioned, it is not efficient and often not effective to examine data when it is sprawled across many systems. As a business cloud, analytics platforms help businesses consolidate data and combine data points to understand the relationship between data and derive deep insights. **Reports and dashboards:** Multilayered, real-time dashboards are a central feature of analytics platforms. Users can program their analytics software to display metrics of their choice and create multiple dashboards that show analytics related to specific teams or initiatives. From predictive website traffic analytics to customer conversion rates over a specified period, users can choose their preferred metrics to feature in dashboards and create as many dashboards as necessary.  Administrators can adjust the permissions of different dashboards so they are accessible to the users in the company who need them the most. Users can share specific dashboards on office monitors or take screengrabs of dashboards to save and share as needed. Some analytics platform products may allow users to explore dashboards on their mobile devices. [**Self service**](https://www.g2.com/categories/analytics-platforms/f/self-service) **:** Organizations use these tools to build interactive dashboards for discovering actionable insights. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data. **Advanced analytics:** Many analytics solutions are incorporating advanced features, sometimes called augmented analytics, to better understand a business’s data, even without IT support. These can include predictive analytics capabilities and data discovery, which includes intelligent suggestions for data visualization and machine learning-powered suggestions for deeper insights. Other features include [Anomaly detection](https://www.g2.com/categories/analytics-platforms/f/anomaly-detection), [Query based](https://www.g2.com/categories/analytics-platforms/f/query-based), [Search](https://www.g2.com/categories/analytics-platforms/f/search), [Traditional](https://www.g2.com/categories/analytics-platforms/f/traditional) ### What are the benefits of using analytics platforms? **Replace old or disparate software:** Businesses can replace outdated data storage solutions and reporting tools and migrate to an all-inclusive business cloud as an analytics platform. However, data migration is not essential for deploying an analytics solution, as businesses may not have the time or resources to do so. Therefore, it should be noted that these platforms can integrate with a whole host of solutions, such as [enterprise resource planning (ERP)](https://www.g2.com/categories/erp-systems) and [customer relationship management (CRM) software](https://www.g2.com/categories/crm). **Improve productivity:** The days of sorting through tens, if not hundreds, of systems and needing immense support from IT have passed. With analytics platforms (especially those that are self-service and have features such as natural language search), anyone looking for data and data analysis, including average business users, can derive insights from their data. **Save time (automation):** For most analytics platforms, users no longer need a strong background in query languages. Instead, data discovery and root cause analysis allow users to automatically receive alerts and insights into their data and get notified if the data has changed meaningfully. **Reduce errors:** Although standalone data preparation tools may be the right solution for businesses with particularly complex data, analytics platforms allow users to clean and prepare their data through data mapping and deduplication methods. **Consolidate data:** In this data-driven era, essentially every program and device a business has produces massive data. To understand this diverse data in the best way possible, combining it through methods such as data blending, which allows users to integrate data from multiple sources into a functioning dataset, is often necessary. **Improve processes:** Without an analytics platform to be used across a business, processes can be slow and inefficient as interested parties seek data from disparate sources and request data from various people. Analytics platforms can help a business user quickly access data and data analysis and share it with internal and external stakeholders. ### **Who uses analytics tools?** Analytics platforms can have both internal and external users.  #### **Internal users** **Data analysts and data scientists:** These employees are generally the power users of analytics tools, creating complex queries inside the platforms to gather a deeper understanding of business-critical data. These teams may also be tasked with building self-service dashboards to distribute to other teams. **Sales teams:** Sales teams use self-service analytics tools and embedded analytics solutions to obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue. **Marketing teams:** Marketing teams often run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns. Analytics tools allow marketing teams to track the performance of those campaigns in one central location. **Finance teams:** Finance teams leverage analytics software to gain insight into the factors impacting an organization's bottom line. By integrating financial data with sales, marketing, and other operations data, accounting and finance teams pull actionable insights that might not have been uncovered using traditional tools. **Operations and supply chain teams:** Analytics solutions often utilize a company's ERP system as a data source. These applications track everything from accounting to supply chain and distribution; supply chain managers can optimize several processes to save time and resources by inputting supply chain data into an analytics platform.  #### **External users** **Consultants:** Businesses, especially larger ones, do not always understand the breadth and depth of their data, perhaps not even knowing where to begin. An external consultant wielding a powerful analytics platform can help businesses better understand their data and, as a result, make more informed business decisions.  Users may consider contacting [BI consulting partners](https://www.g2.com/categories/business-intelligence-bi-consulting) to help determine the most relevant analytics and data to capture about their company’s overall success. Following a proper consultation, these agencies may offer assistance with setting up or choosing BI tools. A number of these agencies can assist businesses with the entire BI process, from complete data analysis to the shaping of processes or protocols related to data collection. A relationship with these consultants can prove highly beneficial for users who have never performed data analysis before or want to optimize their company’s reporting. **Partners:** Partnerships between companies often involve data sharing and cross-company collaboration. As a result, a centralized repository of data, which would allow for data management, data querying, and data insights, can provide an essential tool for these businesses to succeed together, providing them with a birds-eye view of their data. ### **What are the alternatives to analytics platforms?** Alternatives to analytics platforms can replace this type of software, either partially or completely: [**Marketing analytics software**](https://www.g2.com/categories/marketing-analytics) **:** Businesses looking for tools geared toward marketing use cases and marketing data (e.g., related to targeting prospects) should look at marketing analytics solutions that are purpose-built for this. [**Sales analytics software**](https://www.g2.com/categories/sales-analytics) **:** Although sales data such as revenue forecasts and closed deals can be imported and analyzed in general-purpose analytics platforms, sales analytics platforms can provide a more granular analysis of sales-related data and might have better integrations with sales tools such as CRMs.  [**Log analysis software**](https://www.g2.com/categories/log-analysis) **:**  If a business wants to focus on analyzing its log data from applications and systems, it could benefit from log analysis software, which helps enable the documentation of application log files for records and analytics. [**Predictive analytics software**](https://www.g2.com/categories/predictive-analytics) **:** Broad-purpose analytics platforms allow businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Since analytics platforms allow for these different types of analyses, they might not provide the most robust features for any type. Therefore, businesses focused on looking at past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution.  [**Text analysis software**](https://www.g2.com/categories/text-analysis) **:** Analytics platforms are focused on structured or numerical data, allowing users to drill down and dig into numbers to inform business decisions. Text analysis solutions are the best bet if the user is looking to focus on unstructured or text data. These tools help users quickly understand and pull sentiment analysis, key phrases, themes, and other insights from unstructured text data. [**Data visualization software**](https://www.g2.com/categories/data-visualization) **:** Data visualization tools can be an excellent place for businesses to start when looking to better understand their data. With capabilities including dashboards and reporting, data visualization software can often be quick and easy to set up and is frequently cheaper than more robust analytics platforms.  However, it is essential to recognize their limitations. Data visualization solutions do what they say on the box: visualization. They do not give the user an end-to-end analytics solution from data preparation to data insights, nor do they provide significant data management capabilities. ### **Software and services related to analytics platforms** Related solutions that can be used together with analytics platforms include: [**Embedded business intelligence software**](https://www.g2.com/categories/embedded-business-intelligence) **:** Analytics platforms are standalone platforms that help companies analyze data. Businesses who want to build analytics capabilities into applications, whether that be for internal or external use, can use embedded BI software to accomplish this goal. [**Database software**](https://www.g2.com/categories/database-software) **:** There are a plethora of solutions for storing, organizing, and sharing large amounts of data that can later be accessed and analyzed by analytics tools. Database software includes everything from [big data software](https://www.g2.com/categories/big-data) to traditional table-based [relational databases](https://www.g2.com/categories/relational-databases). Businesses should research and implement whichever database tools make the most sense for their particular data types or analytical needs.  When considering an analytics solution, users should investigate which databases can integrate with the tool to make the most logical product choice for their situation. Analytics products would not serve much purpose without one or more company databases to pull data from when the time comes. ### Challenges with analytics platforms **Configuration:** Analytics solutions may have a highly technical setup process, requiring IT or developmental expertise. When trying to implement one of these platforms without an in-house data scientist or IT professional, users may struggle with getting the technology off the ground, integrating it with the appropriate solutions, and creating queries for data collection. This could mean a significant loss of resources and an inability to use the tool as intended. Users can contact BI consulting providers for assistance setting up a program or, in some cases, for handling the entirety of BI reporting. **Overreliance:** Focusing too much on data and analytics can also be problematic. Data-driven decisions are critical to a business’s success, but data-only decisions ignore the various voices from within and without the organization. Successful companies combine rigorous analytics with anecdotal storytelling and thoughtful conversations about the business's success and components. **Integrations:** If the analytics tool does not fully integrate with existing software, getting a complete view of a business’s operational performance becomes challenging. Similarly, if an integration experiences a communication error or other issue during a data query, it causes an incorrect or incomplete reading. Users should make a point to monitor these connections and any potential performance issues throughout their software stack to ensure that correct, complete, and up-to-date information is being processed and displayed on dashboards. **Data security:** Companies must consider security options to ensure the right users see the correct data and guarantee strict data security. Effective analytics solutions should offer security options that enable administrators to assign verified users different levels of access to the platform based on their security clearance or level of seniority. ### How to choose the best analytics tools #### Requirements Gathering (RFI/RFP) for Analytics Platforms If a company is just starting and looking to purchase the first analytics platform, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best analytics platform. The particular business pain points might be related to all the manual work that must be completed. If the company has amassed a lot of data, it needs to look for a solution that can grow with the organization. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees needing this software, as this drives the number of licenses they will likely buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist is a detailed guide with necessary and nice-to-have features, including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the deployment scope, producing an RFI, a one-page list with a few bullet points describing what is needed from an analytics platform might be helpful. #### Compare Analytics Platforms Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are essential to the software buying process. For ease of comparison, after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a short list** From the long list of vendors, it is helpful to narrow the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list, businesses can produce a matrix to compare the features and pricing of the various solutions. **Conduct demos** To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.  #### Selection of analytics platforms **Choose a selection team** Before getting started, creating a winning team that will work together throughout the process, from identifying pain points to implementation, is crucial. The software selection team should consist of organization members with the right interests, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the primary decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. The vendor selection team may be more minor in smaller companies, with fewer participants, multitasking, and taking on more responsibilities. **Analyze the data** As analytics platforms are all about the data, the user must ensure that the selection process is also data-driven. The selection team should compare notes and facts and figures that they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities. **Negotiation** Just because something is written on a company’s pricing page does not mean it is gospel (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to discount multiyear contracts or recommend the product to others. **Final decision** After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and received, the buyer can be confident that the selection was correct. If not, it might be time to return to the drawing board. ### How much do analytics software platforms cost? As mentioned above, analytics platforms come as both on-premises and cloud solutions. Pricing between the two might differ, with the former often coming with more upfront costs for setting up the infrastructure.  As with any software, analytics platforms are frequently available in different tiers, with the more entry-level solutions costing less than the enterprise-scale ones. The former will often not have as many features and may have caps on usage. Vendors may have tiered pricing, in which the price is tailored to the users’ company size, the number of users, or both. This pricing strategy may come with some support, which might be unlimited or capped at a certain number of hours per billing cycle. Once set up, analytics platforms, especially those deployed in the cloud, do not often require significant maintenance costs. As these platforms often come with many additional features, businesses looking to maximize the value of their software can contract third-party consultants to help them derive insights from their data and get the most out of the software. #### Return on Investment (ROI) Businesses deploy analytics platforms to derive a return on investment (ROI). As they are looking to recoup the losses they spent on the software, it is critical to understand its costs. As mentioned above, analytics platforms are typically billed per user, sometimes tiered, depending on the company size. More users will generally translate into more licenses, which means more money. Users must consider how much is spent and compare that to what is gained in terms of efficiency and revenue. Therefore, businesses can compare processes between pre- and post-deployment software to understand better how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from using an analytics tool. ### Implementation of analytics software solutions **How are analytics software Implemented?** Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether an implementation specialist from the vendor or a third-party consultancy. With vast experience under their belts, they can help businesses understand how to connect and consolidate their data sources and use the software efficiently and effectively. **Who is responsible for analytics platform implementation?** Properly deploying an analytics platform may require many people or teams. This is because, as mentioned, data can cut across teams and functions. As a result, one person or even one team rarely has a complete understanding of all of a company’s data assets. With a cross-functional team, a business can begin to piece together its data and begin the analytics journey, starting with proper data preparation and management. ### Emerging trends related to analytics platforms **Increase data accessibility** Business data is no longer locked up in silos. With analytics platforms, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) tools](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data more accessible and powerful, providing more accurate results. With the amount of data accessible to businesses today, it is a near necessity that they implement some type of analytics software to understand and act on that data better. Implementing analytics software has been a significant initiative for companies undergoing digital transformation, as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large datasets collected from various sources. **Shift from on-premises to cloud** The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons, such as time to insight. Moving away from on-premises infrastructure has helped many companies enable data work anywhere one has access to the cloud—anywhere with internet access. However, not all data users have the luxury of working in the cloud for several reasons, including data security and issues related to latency. In industries such as health care, strict regulations such as the [Health Insurance Portability and Accountability Act (HIPAA)](https://learn.g2.com/health-insurance-portability-and-accountability-act) require data to be secure. Although it is possible to ensure this security in the cloud, it can be more complicated. **Conversational AI** Historically, to query data within an analytics solution, users needed to master a query language like SQL. With the rise of conversational interfaces, users uncover the data and insights they seek using intuitive language. Intuitive methods of querying data enable a larger user base to access and make sense of company data. **Machine learning** AI is quickly becoming a promising feature of analytics solutions throughout the data journey, from ingestion to insights. From AI-powered data preparation to smart insights, in which the platform suggests visualizations to the end user, analytics platforms are quickly becoming more powerful. Machine learning is helping end users discover hidden insights, allowing them to make sense of data and understand what they are seeing. ### Analytics Platforms FAQs #### **Which analytics platforms have an intuitive UI that non-technical users adopt without extensive training?** I looked for analytics platforms that make it easy to find what you need also enable easy collaboration. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Has a drag-and-drop chart building without SQL or code that makes it user-friendly. Users can connect Excel, SharePoint, and emails without technical help.  - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can create dashboards with limited use and no deep technical background. Onboarding is as simple as sharing the links and giving the right access. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Spreadsheet-like UI provides the most distinctive non-technical adoption story. Users can pull in data and work with it in complicated ways that don't require coding. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer approach means business users interact with pre-defined, plain-language metrics rather than raw tables or SQL, which is the foundational mechanism for non-technical adoption.  #### **What are the best analytics platforms for business teams accessing insights without SQL or data science skills?** SQL-free access means business users can explore, filter, and create their own views without analyst dependency.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Non-technical users can build powerful dashboards quickly without SQL. Power BI's Power Query Editor handles data transformations through button clicks. The DAX layer exists for advanced users but is not required for standard self-service reporting. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Sigma's specific differentiator for SQL-free access is its spreadsheet-like interface on live warehouse data. For teams already on Snowflake or cloud warehouses, Sigma eliminates the SQL barrier entirely at the analysis layer. - [Domo](https://www.g2.com/products/domo/reviews) **:** The no-code platform is easy to use for non-technical teams. Users can apply filtering and date range changes without any coding. The 1000+ connector ecosystem means data arrives automatically, so business users interact with dashboards rather than queries.  - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic model defines metrics in plain language; business users query pre-built dimensions and measures without writing a single line of SQL.  #### **Which analytics platforms support collaborative dashboards, annotations, and mobile access for on-the-go insights?** I looked for tools with collaborative analytics, shared dashboards, in-platform discussion, annotations, and mobile-ready access. - [Domo](https://www.g2.com/products/domo/reviews) **:** Sales teams can access data and contacts in real-time on their phones. Has platform-native discussion, report sharing, and insight annotation as part of the daily workflow.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Web and mobile access are daily-use features. The platform enables collaboration so everyone can see the same report at the same time, updated in real time. - [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews) **:** Designed around collaborative BI with built-in story, annotation, and broadcast features for sharing insights with business audiences.  - [Looker](https://www.g2.com/products/looker/reviews) **:** Comes with scheduled report delivery, so automated weekly numbers land in inboxes without anyone manually running anything. Email reports and metric notifications can be set up as daily workflow features.  #### **Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration?** Fast ad-hoc exploration means users can drill down, pivot, and filter without waiting and without writing a new query every time. - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can drill down on data without writing queries. Extracted datasets perform significantly better for ad-hoc work. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer so ad-hoc queries against massive datasets return fast without full table scans.  - [Incorta](https://www.g2.com/products/incorta/reviews) **:** Its direct data mapping approach eliminates the aggregation layer that slows most BI platforms during ad-hoc queries. For organizations where query latency on complex, multi-source datasets is the primary pain, Incorta is a good choice. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Provides intuitive filtering across countries, teams, and time periods within existing dashboards without analyst involvement. The Direct Lake connection mode specifically reduces ad-hoc query latency. #### **Which analytics solutions integrate with Snowflake, BigQuery, and Redshift seamlessly?** Native, live connections to modern data warehouses — where queries run in the warehouse rather than in the BI tool are what seamless integration actually means for data teams. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Integration with Active Directory, SharePoint, and the Microsoft Fabric ecosystem is described as genuinely seamless for organizations already in the Microsoft stack. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Built to run directly on Snowflake (and BigQuery/Redshift) without extracting data. The architecture means live warehouse queries are the default mode, not an optional feature. - [Databricks](https://www.g2.com/products/databricks/reviews) **:** It is the warehouse-layer itself for many organizations, not a BI tool connecting to a warehouse, which means integration is inherently native. For organizations that treat Databricks as the processing layer and BI tools as the visualization layer on top, Databricks' own analytics features (via SQL Warehouses and notebooks) eliminate the need for a separate integration layer. - [Looker](https://www.g2.com/products/looker/reviews) **:** BigQuery is the most-named data warehouse in Looker's review base. LookML's push-down SQL architecture means all queries run in the warehouse (Snowflake, BigQuery, Redshift) rather than being extracted into Looker. #### **Which analytics solutions come with robust caching and performance optimization to maintain fast speeds at scale?** Caching and performance optimization matter when datasets are large, dashboards are complex, and business users can't wait for queries to resolve. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer specifically to make large dataset queries fast. For organizations where query latency on multi-billion row datasets is the blocking problem, Kyvos is the most purpose-built and best-validated option in the category on these dimensions. - [Databricks](https://www.g2.com/products/databricks/reviews) **:** Photon engine, Delta Lake caching, and auto-scaling compute architecture are the performance mechanisms at scale.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Row Level Security, Premium capacity, and aggregation tables are the scale optimization toolkit. Performance at scale in Power BI is achievable but requires deliberate architecture, not automatic. - [Incorta](https://www.g2.com/products/incorta/reviews) **:** Direct data mapping eliminates the pre-aggregation step that creates scale bottlenecks in most BI tools, allowing ad-hoc queries against large transactional datasets to run without a separate aggregation cache.  #### **Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation?** I looked for analytics platforms with strong data governance features.  - [Looker](https://www.g2.com/products/looker/reviews) **:** LookML governance, real-time data access, and seamless integration with modern data warehouses together create the governed analytics environment enterprises need to prevent metric drift across teams. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Addresses governance through Row Level Security, workspace permissions, and certified datasets, which restrict what data individual users can see and prevent unauthorized metric redefinition. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** It defines metrics once at the semantic model level and enforces those definitions for every downstream query and dashboard.  - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Governance approach is built around Tableau Server and Tableau Cloud — where published data sources become the certified metric layer that individual report builders consume rather than create.