# Best Analytics Platforms - Page 4 *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)* 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 ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 335 ### Category Stats (May 2026) - **Average Rating**: 4.48/5 - **New Reviews This Quarter**: 516 - **Buyer Segments**: Mid-Market 43% │ Small-Business 29% │ Enterprise 28% - **Top Trending Product**: Myriade (+0.5) *Last updated: May 18, 2026* ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 27,400+ Authentic Reviews - 335+ 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. ## 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 (1,568 reviews) | Microsoft-connected interactive dashboards | "[Microsoft Power BI Turns Raw Data into Clear, Interactive Dashboards Fast](https://www.g2.com/survey_responses/microsoft-power-bi-review-12678340)" | | 2 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,544 reviews) | Flexible visual dashboard exploration | "[Effortless Data Visualization, High Licensing Costs](https://www.g2.com/survey_responses/tableau-review-12793833)" | | 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (755 reviews) | Cloud analytics for governed data science | "[SAS Viya is a Powerful Analytics](https://www.g2.com/survey_responses/sas-viya-review-11702846)" | | 4 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (773 reviews) | No-code data preparation and automation | "[Easy, Time-Saving Data Automation with Alteryx’s Drag-and-Drop Workflows](https://www.g2.com/survey_responses/alteryx-review-12594796)" | | 5 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (748 reviews) | Governed lakehouse analytics and ML workflows | "[Databricks in my case: Multiple Integrations, Intuitive UI, and Reliable Performance](https://www.g2.com/survey_responses/databricks-review-12834055)" | | 6 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,576 reviews) | Governed shared BI metrics | "[All Our Metrics in One Place with a User-Friendly, Easy-to-Navigate Looker UI](https://www.g2.com/survey_responses/looker-review-12585179)" | | 7 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (987 reviews) | Centralized self-service business dashboards | "[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)" | | 8 | [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) | 4.8/5.0 (252 reviews) | Semantic-layer acceleration for enterprise BI | "[Kyvos Unified Our Business Logic with a Single Semantic Model](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12797024)" | | 9 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (543 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)" | | 10 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (672 reviews) | AWS-native serverless BI dashboards | "[Turns Raw Data into Interactive Dashboards for Better Trend Monitoring](https://www.g2.com/survey_responses/amazon-quicksight-review-12740199)" | ## 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) ## Which Type of Analytics Platforms Tools Are You Looking For? - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) *(current)* - [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) --- **Sponsored** ### Zoho Analytics Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market. [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%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=3431&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=a4cfda32bbe5236668878cd91b9e0c035b6d97bce1d1a16324bf9d2adaaa87f8&secure%5Burl%5D=https%3A%2F%2Fwww.zoho.com%2Fanalytics%2F%3Futm_source%3DG2%26utm_medium%3Dcpc%26utm_campaign%3DAnalytics_Platforms&secure%5Burl_type%5D=custom_url) --- ## Buyer Guide: Key Questions for Choosing Analytics Platforms Software ### What do Analytics Platforms do? When I explain analytics platforms, I frame them as systems that help teams turn business data into usable insight. These platforms bring dashboards, reports, data modeling, metric exploration, visualizations, and insight sharing into one workflow. Instead of relying on scattered spreadsheets, static reports, or disconnected data views, teams can access information faster, understand performance more clearly, and make decisions with more confidence. ### Why do businesses use Analytics Platforms? From the G2 reviewer patterns I evaluated, businesses use Analytics Platforms because data sits across many systems and takes too much manual effort to organize. Users mention fragmented reports, delayed insight, inconsistent metrics, and hard-to-present data. Common benefits include: - Faster dashboard and report creation. - Clearer visibility into KPIs, sales, marketing, operations, and product data. - Stronger exploration through filters, drilldowns, SQL, and visual workflows. - Easier sharing of insights with teams and stakeholders. - Better integration with databases, cloud platforms, spreadsheets, CRM tools, and warehouses. ### Who uses Analytics Platforms primarily? After I evaluated G2 reviewer roles, I found that Analytics Platforms serve technical and business users. - **Data analysts** build dashboards, reports, and recurring performance views. - **BI teams** manage metrics, models, and governed workflows. - **Data engineers** connect sources and prepare datasets. - **Data scientists** use notebooks, models, and advanced analytics features. - **Business analysts** translate data into operational decisions. - **Executives** use dashboards to understand trends. ### What types of Analytics Platforms should I consider? From the way reviewers describe the category, buyers should compare several product types: - **BI and dashboard platforms** for reports, visualization, and executive views. - **Self-service analytics tools** for fast business exploration. - **Cloud analytics platforms** for larger datasets and scalable processing. - **Data science and notebook platforms** for SQL, Python, models, and collaboration. - **Embedded analytics tools** for customer-facing dashboards. - **Semantic layer platforms** for shared metrics and reusable definitions. ### What are the core features to look for in Analytics Platforms? When I break down G2 reviews for this category, I look closely at the themes users repeatedly mention: - Dashboard and report builders with flexible layouts that help teams organize business data into views people can actually use. - Data visualization, charting, and interactive filters that help users explore trends, compare performance, and understand metrics faster. - Connectors for databases, spreadsheets, cloud tools, and business applications that help bring data from different systems into one place. - SQL support, data modeling, and calculated metrics that help analysts define, structure, and customize business logic. - AI-assisted search or automated insights that help users find patterns and answers without building every report manually. - Collaboration, permissions, scheduled delivery, and sharing controls that help teams distribute insights securely and consistently. - Performance controls for complex dashboards that help reports load reliably even when data volume or usage grows. - Documentation, training resources, and responsive support that help teams onboard faster and troubleshoot issues with less friction. ### What trends are shaping Analytics Platforms right now? From the G2 review patterns I evaluated, several trends stand out: - **AI-assisted analytics** is helping users ask questions, generate summaries, and discover insights faster. - **Self-service reporting** is becoming more important as business teams look for answers without depending on analysts for every request. - **Cloud and application integrations** are expanding as companies connect analytics platforms to more data sources and business systems. - **Governed metrics and semantic layers** are gaining value as teams work to keep definitions consistent across dashboards and reports. - **Performance optimization** remains a priority as users expect complex dashboards to load quickly and reliably. - **Usability and guided setup** are shaping adoption as buyers look for platforms that are powerful without creating a steep learning curve. ### How should I choose Analytics Platforms? For me, the strongest Analytics Platforms fit depends on data sources, governance needs, and scale. I would prioritize products reviewers praise for intuitive dashboards, flexible visualization, strong integrations, reliable performance, and clear collaboration. I would also examine concerns around customization, complex setup, pricing, learning curve, and AI accuracy before making a final choice. --- ## What Are the Top-Rated Analytics Platforms Products in 2026? ### 1. [Apache Superset](https://www.g2.com/products/apache-superset/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 49 **Product Description:** Apache Superset is an open-source data exploration and visualization platform designed to handle data at scale. It enables users to create interactive dashboards and perform complex data analyses with ease. Superset supports a wide range of data sources and integrates seamlessly with various databases, making it a versatile tool for data professionals. Key Features and Functionality: - Interactive Dashboards: Build and customize dashboards with a variety of visualization options to represent data effectively. - SQL IDE: Utilize a rich SQL editor with syntax highlighting and autocomplete features for efficient query writing. - Extensive Database Support: Connect to numerous databases, including relational and non-relational systems, through a robust connector framework. - Security and Authentication: Implement granular access control and integrate with various authentication backends to ensure data security. - Scalability: Designed to scale out to large, distributed environments, accommodating the needs of growing organizations. Primary Value and User Solutions: Apache Superset empowers organizations to make data-driven decisions by providing an intuitive platform for data visualization and exploration. It addresses the need for a scalable and flexible tool that can integrate with diverse data sources, allowing users to derive insights without extensive technical expertise. By offering a user-friendly interface and powerful features, Superset enhances productivity and facilitates a deeper understanding of complex datasets. ### What Do G2 Reviewers Say About Apache Superset? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Apache Superset, finding it simple and accessible for data management. - Users value the **automation of reports and dashboards** , making sharing via Gmail and Slack effortless. - Users appreciate the **ease of understanding** of Apache Superset, making it accessible for diverse users. - Users value the **easy access** provided by Apache Superset, enhancing their ability to utilize data effectively. - Users find the **speed** of Apache Superset enhances data access and overall efficiency significantly. **Cons:** - Users experience **slow performance** as SQL queries often hang and cause delays during execution. - Users often face **SQL execution hang-ups** that disrupt workflow and delay data analysis in Apache Superset. - Users find the **lack of interactivity in visualizations** a limitation that reduces their overall experience with Superset. #### What Are Recent G2 Reviews of Apache Superset? **"[Flexible Integrations and Plenty of Plugin Options](https://www.g2.com/survey_responses/apache-superset-review-8914777)"** **Rating:** 4.5/5.0 stars *— Subrat Kumar S.* [Read full review](https://www.g2.com/survey_responses/apache-superset-review-8914777) --- **"[Superset’s Simple, Beginner-Friendly Experience](https://www.g2.com/survey_responses/apache-superset-review-9053153)"** **Rating:** 5.0/5.0 stars *— Dilaksha A.* [Read full review](https://www.g2.com/survey_responses/apache-superset-review-9053153) --- #### What Are G2 Users Discussing About Apache Superset? - [Is Apache superset good?](https://www.g2.com/discussions/is-apache-superset-good) - 2 comments - [What is Apache superset written in?](https://www.g2.com/discussions/what-is-apache-superset-written-in) - [What is Superset software?](https://www.g2.com/discussions/what-is-superset-software) - 1 comment ### 2. [HockeyStack](https://www.g2.com/products/hockeystack/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 80 **Product Description:** HockeyStack learns your company’s winning pattern for revenue generation, then Revenue Agents execute that process across every rep and every deal. Key capabilities include: - Revenue Agents: autonomous, intelligent systems that continuously analyze all deal, account, and behavioral data to make decisions and take actions that drive revenue outcomes. - Rep Cockpit: A single interface where agent outputs are pre-computed, decisions surface one at a time, and internal actions are executed automatically - Manager View: Managers can see exactly where deals are deviating or where reps are diverging from ideal behavior, without extra meetings or review cycles - Atlas: A data foundation that captures causality across the entire buyer journey, ingesting signals from CRM, call recordings, ad platforms, sales engagement, web activity, and more - Blueprint: A multi-layer ML pipeline that identifies the exact behaviors and sequences that drive closed-won, then matches every live deal against that validated process and flags deviation in real time - Self-Improving Loop: Every rep action, dismissal, edit, and deal outcome feeds back into the Blueprint, so the system gets smarter on its own over time Achieve reduced rep variance, faster ramp time, and more accurate forecasts, with impact compounding as the system learns. Get started with HockeyStack today! ### What Do G2 Reviewers Say About HockeyStack? *AI-generated summary from verified user reviews* **Pros:** - Users value the **flexibility and insights** of HockeyStack, enhancing their understanding of campaign performance and ROI. - Users value the **analytics capabilities** of HockeyStack, enabling clear insights into marketing performance and data integration. - Users praise the **ease of use** of HockeyStack, highlighting efficient onboarding and excellent support throughout their experience. - Users commend the **unprecedented support team** for their thorough and timely responses to questions and troubleshooting tickets. - Users praise HockeyStack for its **fantastic attribution modeling** , providing clear insights into marketing activities and performance. **Cons:** - Users find the **learning curve steep** , requiring time for onboarding and understanding data effectively. - Users face a **steep learning curve** with HockeyStack, requiring time to unlock its full potential and benefits. - Users find the **initial setup complex** , especially without an analytics expert, and face a steep learning curve. - Users feel HockeyStack lacks **missing features** like rich text modules, impacting usability and overall satisfaction. - Users find the **initial setup and report loading times** to be quite time-consuming, impacting overall efficiency. #### What Are Recent G2 Reviews of HockeyStack? **"[Broad Capabilities, Some Complexity in Setup](https://www.g2.com/survey_responses/hockeystack-review-12701250)"** **Rating:** 4.0/5.0 stars *— Carmine M.* [Read full review](https://www.g2.com/survey_responses/hockeystack-review-12701250) --- **"[Promising Tool, Some Drawbacks](https://www.g2.com/survey_responses/hockeystack-review-12260402)"** **Rating:** 4.0/5.0 stars *— Verified User* [Read full review](https://www.g2.com/survey_responses/hockeystack-review-12260402) --- #### What Are G2 Users Discussing About HockeyStack? - [What is HockeyStack used for?](https://www.g2.com/discussions/what-is-hockeystack-used-for) ### 3. [Whaly](https://www.g2.com/products/whaly-whaly/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 25 **Product Description:** We believe that analytics should benefit everyone. Whaly is an integrated, self-service business intelligence platform that enables data teams and business teams to work better together. Business teams are empowered to access, analyze, and share data from the tools they already use every day - HubSpot, Salesforce, Google Analytics, and more - with no technical expertise required. This means no more waiting on data teams for answers to every question. In parallel, data teams get some time back to focus on fewer menial tasks. With Whaly, you can connect, model, visualize and share your data - all from one place. Our mission is to boost adoption and foster company-wide trust in data, so that your company can make better, more informed decisions. Time to make your data work harder for you - not the other way around. #### What Are Recent G2 Reviews of Whaly? **"[Superb BI tool that adapts to the needs of each business unit !](https://www.g2.com/survey_responses/whaly-review-8209599)"** **Rating:** 5.0/5.0 stars *— Simon M.* [Read full review](https://www.g2.com/survey_responses/whaly-review-8209599) --- **"[Great tool of self-service business intelligence and data visualization platform](https://www.g2.com/survey_responses/whaly-review-8030954)"** **Rating:** 4.5/5.0 stars *— Bastien E.* [Read full review](https://www.g2.com/survey_responses/whaly-review-8030954) --- ### 4. [Grow.com](https://www.g2.com/products/grow-com/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 267 **Product Description:** Grow is a no-code full-stack business intelligence (BI) platform that empowers everyone in your organization to make data-driven decisions. By combining ETL, data warehousing and visualization in one easy-to-use platform, any organization can connect and explore its data to surface insights. Our unlimited-user license model gives everyone access to the answers they need without waiting in line for an analyst. Now everyone can make great decisions in real-time to accelerate their growth. ### What Do G2 Reviewers Say About Grow.com? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Grow.com, enjoying seamless dashboard creation and clear visual data presentation. - Users value the **smooth and accessible UI** of Grow.com, enhancing their experience with excellent visual tools. - Users love the **easy integrations** with various APIs, streamlining data management and enhancing marketing efforts. - Users appreciate the **simple, user-friendly interface** of Grow.com, enhancing accessibility and visualization of performance insights. - Users value the **seamless integrations** of Grow.com, enhancing data connectivity and simplifying reporting processes across platforms. **Cons:** - Users find Grow.com to be **expensive** , particularly challenging for small businesses and startups to afford. - Users note the **missing features** in Grow.com, longing for enhancements in data handling and customization options. - Users find the **slow loading times** of Grow.com frustrating, impacting their overall experience with dashboard creation. - Users find Grow.com **slow in performance** , particularly during data syncing and while handling large datasets. - Users experience **performance issues** with Grow.com, including slow database updates and minimal visualization options. #### What Are Recent G2 Reviews of Grow.com? **"[Streamlined Metrics with Real-Time Updates](https://www.g2.com/survey_responses/grow-com-review-12839666)"** **Rating:** 5.0/5.0 stars *— Kevin H.* [Read full review](https://www.g2.com/survey_responses/grow-com-review-12839666) --- **"[Effortless Reporting and Performance Insight](https://www.g2.com/survey_responses/grow-com-review-12840024)"** **Rating:** 4.5/5.0 stars *— Alejandro v.* [Read full review](https://www.g2.com/survey_responses/grow-com-review-12840024) --- #### What Are G2 Users Discussing About Grow.com? - [What is Grow.com used for?](https://www.g2.com/discussions/what-is-grow-com-used-for) ### 5. [CorralData](https://www.g2.com/products/corraldata/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 19 **Product Description:** CorralData is an AI-powered analytics platform that transforms how organizations interact with their data, offering businesses instant, actionable insights without requiring technical expertise. Designed with ease of use and speed in mind, CorralData helps businesses quickly centralize and analyze data from over 500 built-in integrations. This vast connectivity allows organizations to unify their data seamlessly, making it accessible and actionable from one central platform. Key Features and Functionality: CorralData is built for non-technical users, enabling them to explore data through natural language queries and generate AI-driven reports effortlessly. The platform includes features like real-time dashboards, customizable reporting, and secure collaboration tools that empower teams to work with data collaboratively and make informed decisions faster. With CorralData, users can simply ask questions in plain English, and the platform instantly translates these queries into data insights, democratizing data access across the organization. Primary Value and Solution: CorralData solves a core challenge for many businesses: transforming complex, siloed data into accessible insights quickly, without the need for lengthy onboarding or engineering support. Traditional BI tools often require specialized teams and long lead times to implement, but CorralData’s intuitive design and instant integration capabilities eliminate these barriers. The platform’s HIPAA-compliant security measures also ensure that data is protected, making it a trusted choice for industries like healthcare and finance. CorralData’s primary value lies in its ability to make data-driven decision-making fast, accessible, and impactful. By equipping business users with immediate insights and robust analytical tools, CorralData enables companies to respond to market changes in real time, optimize operations, and drive growth, all while reducing dependency on technical resources. For businesses aiming to become data-driven overnight, CorralData is an ideal solution. ### What Do G2 Reviewers Say About CorralData? *AI-generated summary from verified user reviews* **Pros:** - Users find **CorralData incredibly easy to use** , enhancing accessibility and streamlining data visualization across the organization. - Users praise the **exceptional customer support** from CorralData, highlighting their responsiveness and personalized approach. - Users highlight the **ease of implementation** with CorralData, appreciating quick integration and responsive support throughout the process. - Users praise the **seamless integrations** of CorralData, unifying systems into a single platform with exceptional support. - Users love how CorralData's **time-saving integration** streamlines reporting, consolidating multiple data sources into one efficient platform. **Cons:** - Users find the **complexities in data validation** of CorralData to be time-consuming and challenging throughout integration. - Users struggle with **data inaccuracy** , finding it time-consuming to validate and ensure correct data sources and filters. - While CorralData offers value, users feel it is still **expensive** compared to more established enterprise tools. - Users find **filtering problems** in CorralData lead to tedious validation processes and confusion regarding data accuracy. - Users find the **long integration time** frustrating, primarily due to the complexities associated with Zenoti. #### What Are Recent G2 Reviews of CorralData? **"[Great BI Tool for integrating with Zenoti](https://www.g2.com/survey_responses/corraldata-review-12263612)"** **Rating:** 5.0/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/corraldata-review-12263612) --- **"[Exceptional Support and Effortless Onboarding Experience](https://www.g2.com/survey_responses/corraldata-review-11982093)"** **Rating:** 5.0/5.0 stars *— Verified User in Real Estate* [Read full review](https://www.g2.com/survey_responses/corraldata-review-11982093) --- ### 6. [StarBI](https://www.g2.com/products/starbi/reviews) **Average Rating:** 4.1/5.0 **Total Reviews:** 13 **Product Description:** StarBI is a self service business intelligence software designed to allow users to discover trends, track KPIs and visualize data. ### What Do G2 Reviewers Say About StarBI? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of StarBI, enhancing efficiency with smooth navigation and real-time insights. - Users value the **affordable tailored solutions** of StarBI, which simplify analytics and enhance productivity. - Users appreciate the **customizable reports** in StarBI, enabling frequent use and quick, data-driven decision-making. - Users value the **easy data integration and customizable dashboards** of StarBI, facilitating quick, data-driven decisions. - Users praise the **Powerful BI capabilities** of StarBI, enhancing productivity and optimizing data performance effortlessly. **Cons:** - Users find StarBI's **complex structure** challenging, experiencing lag and inflexibility in ETL processes. - Users report **slow performance** with StarBI, especially when handling large datasets, impacting overall usability. - Users find the **complex ETL procedures** of StarBI challenging, limiting flexibility in their projects. - Users find **integration issues** with niche systems frustrating, affecting usability and performance with larger datasets. - Users find the **learning curve and customization challenges** of StarBI difficult, impacting their overall experience and efficiency. #### What Are Recent G2 Reviews of StarBI? **"[Intuitive and Powerful Data Insights with StarBI](https://www.g2.com/survey_responses/starbi-review-10429311)"** **Rating:** 5.0/5.0 stars *— Saad A. S.* [Read full review](https://www.g2.com/survey_responses/starbi-review-10429311) --- **"[track KPIs, and visualize data by connecting to multiple data sources.](https://www.g2.com/survey_responses/starbi-review-10498028)"** **Rating:** 5.0/5.0 stars *— Aiswarya I.* [Read full review](https://www.g2.com/survey_responses/starbi-review-10498028) --- #### What Are G2 Users Discussing About StarBI? - [What is StarBI used for?](https://www.g2.com/discussions/what-is-starbi-used-for) - 1 comment ### 7. [SAP BusinessObjects Business Intelligence (BI)](https://www.g2.com/products/sap-businessobjects-business-intelligence-bi/reviews) **Average Rating:** 3.8/5.0 **Total Reviews:** 236 **Product Description:** The SAP® BusinessObjects™ Business Intelligence (BI) platform is a flexible, scalable information infrastructure that helps you more easily discover and share insights for better business decisions. The integrated, unified infrastructure enables scalability from one to many tools and interfaces on premise, in the cloud, or as a hybrid approach. ### What Do G2 Reviewers Say About SAP BusinessObjects Business Intelligence (BI)? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **powerful charting features** of SAP BI, enabling compelling visuals and insightful dashboards for data analysis. - Users value the **powerful data visualization** capabilities of SAP BI for creating insightful charts and dashboards. - Users appreciate the **ease of understanding** with SAP BI, enabling quick insights and visual data representation for leadership. - Users value the **seamless integrations** in SAP BI, allowing for enhanced data visualization and insightful dashboard creation. - Users value the **seamless team collaboration** in SAP BI, enhancing data visualization and dashboard creation for effective decision-making. #### What Are Recent G2 Reviews of SAP BusinessObjects Business Intelligence (BI)? **"[Data Analytics Platform Enhanced](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-10783981)"** **Rating:** 5.0/5.0 stars *— Meghan I.* [Read full review](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-10783981) --- **"[Great for Financial Analysis](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-9127662)"** **Rating:** 5.0/5.0 stars *— Verified User in Education Management* [Read full review](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-9127662) --- #### What Are G2 Users Discussing About SAP BusinessObjects Business Intelligence (BI)? - [What is SAP BusinessObjects Business Intelligence (BI) used for?](https://www.g2.com/discussions/what-is-sap-businessobjects-business-intelligence-bi-used-for) - [What are the tools used in business intelligence?](https://www.g2.com/discussions/what-are-the-tools-used-in-business-intelligence) - [What is SAP Business Objects used for?](https://www.g2.com/discussions/what-is-sap-business-objects-used-for) ### 8. [Clootrack](https://www.g2.com/products/clootrack/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 38 **Product Description:** Clootrack is an AI Super Agent that turns Voice of the Customer data into measurable business outcomes. It enables CX, product, consumer insights, marketing, and strategy teams to move from fragmented customer signals to clear, evidence-backed decisions. As survey response rates decline and feedback spreads across channels, Clootrack unifies first-party and third-party customer data into a single system. The platform analyzes 100% of customer interactions, including reviews, surveys, contact-center conversations, chat, and digital feedback, without relying on surveys alone. This delivers a complete and unbiased view of customer experience across journeys. Clootrack’s patented unsupervised thematic analysis surfaces hidden themes and experience drivers at scale without manual tagging. Goal-specific AI agents align insights directly to business KPIs to operationalize insights across outcomes such as NPS, churn, returns, product innovation speed, research efficiency, and contact-center performance. A reasoning layer explains what changed, why it changed, and where teams should act, with evidence. AI Decision Digest summarizes what matters, why it happened, and what to do next, with full traceability to source data. Organizations using Clootrack have reported: - 14–18% improvement in NPS - 9–18% reduction in e-commerce returns - Up to 35% reduction in churn - 3× faster product insights - 14× faster research execution - 10–15% reduction in contact-center AHT Clootrack delivers 98%+ analysis accuracy, supports 55+ languages, integrates with 1,000+ enterprise data sources, and is trusted by 150+ global enterprises across retail, SaaS, banking, healthcare, consulting, and private equity. The platform has processed 100+ billion customer feedback tokens using OpenAI infrastructure for real-world Voice of the Customer workloads. ### What Do G2 Reviewers Say About Clootrack? *AI-generated summary from verified user reviews* **Pros:** - Users praise Clootrack for its **flexibility and comprehensive analytics** , enabling customized insights from various data sources. - Users value the **flexibility in data insights** and customizable analyses that enhance their understanding of customer experiences. - Users praise the **prompt and helpful customer support** from Clootrack, enhancing their experience and satisfaction with the product. - Users appreciate the **flexibility in data and insights** provided by Clootrack, enhancing their analytical capabilities significantly. - Users commend Clootrack for its **flexible collaboration** , enabling tailored analyses and insights from diverse data sources. **Cons:** - Users suggest improvements in **UX design** , including customization options and a neater interface for better usability. - Users find the **poor interface design** of Clootrack challenging, struggling with the cluttered dashboard and readability. - Users find the **dashboard hard to read** due to excessive detail, especially under tight deadlines. - Users face **delay issues** due to slow processing times and non-real-time CX dashboards, risking escalation of user challenges. - Users note the **lack of customizable features** in Clootrack, particularly in data export and comparison options. #### What Are Recent G2 Reviews of Clootrack? **"[Great software and a great team](https://www.g2.com/survey_responses/clootrack-review-10363573)"** **Rating:** 4.5/5.0 stars *— Verified User in Hospital & Health Care* [Read full review](https://www.g2.com/survey_responses/clootrack-review-10363573) --- **"[Vital insight on customer behaviour and preferences useful for any brand or category](https://www.g2.com/survey_responses/clootrack-review-10642395)"** **Rating:** 4.5/5.0 stars *— Verified User in Consulting* [Read full review](https://www.g2.com/survey_responses/clootrack-review-10642395) --- #### What Are G2 Users Discussing About Clootrack? - [What is Clootrack used for?](https://www.g2.com/discussions/what-is-clootrack-used-for) ### 9. [ClearQuery](https://www.g2.com/products/clearquery/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 12 **Product Description:** ClearQuery is a full suite data analytics platform designed with one primary goal in mind- to make analytics simple for everyone. ClearQuery removes the technical barriers by giving every user the ability to get automated insights at ingestion. With dashboards and insights canvas, you are able to understand your data at a glance, easily explore relationships across datasets, ask questions in plain English and get answers without needing to know any query language. ClearQuery is a data analytics solution for humans. ### What Do G2 Reviewers Say About ClearQuery? *AI-generated summary from verified user reviews* **Pros:** - Users love the **user-friendly interface** of ClearQuery, making data analysis accessible to everyone effortlessly. - Users value the **customizable reporting features** of ClearQuery, allowing for tailored insights and streamlined data handling. - Users value the **seamless data integration** of ClearQuery, enabling efficient access to diverse data sources effortlessly. - Users appreciate the **ease of learning** with ClearQuery, allowing anyone to analyze data without prior technical skills. - Users value the **ease of understanding** of ClearQuery, allowing anyone to analyze data without technical expertise. **Cons:** - Users report **bugs and limitations** in ClearQuery, affecting usability and integration with existing systems. - Users find the **initial setup complex** , which can complicate the overall use of ClearQuery. - Users find the **coding difficulty** challenging, as SQL knowledge is essential for writing complex queries in ClearQuery. - Users find the **complex usage** of ClearQuery challenging, particularly when integrating with existing data systems. - Users find ClearQuery **expensive** compared to similar software, impacting affordability for some businesses. #### What Are Recent G2 Reviews of ClearQuery? **"[One Stop Solution for all queries](https://www.g2.com/survey_responses/clearquery-review-10446971)"** **Rating:** 5.0/5.0 stars *— Anandhu C.* [Read full review](https://www.g2.com/survey_responses/clearquery-review-10446971) --- **"[ClearQuery: Simplifying Data Analysis and Business Intelligence with Powerful Tools](https://www.g2.com/survey_responses/clearquery-review-10386038)"** **Rating:** 4.0/5.0 stars *— vishal p.* [Read full review](https://www.g2.com/survey_responses/clearquery-review-10386038) --- ### 10. [Autonmis](https://www.g2.com/products/autonmis/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 17 **Product Description:** 𝗔𝘂𝘁𝗼𝗻𝗺𝗶𝘀 - 𝗔𝗜 𝘁𝗼 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗽𝘀 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀 Operations run the business. Yet most teams still rely on spreadsheets, siloed systems, and delayed reports to track issues - creating blind spots across workflows, compliance, and outcomes. 𝗔𝘂𝘁𝗼𝗻𝗺𝗶𝘀 𝗳𝗶𝗹𝗹𝘀 𝘁𝗵𝗮𝘁 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝗹𝗮𝘆𝗲𝗿: 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗢𝗽𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. We plug into your existing tools and workflows, learn what “healthy operations” look like, and help your team detect, diagnose, and de-risk problems in real time: 𝗗𝗲𝘁𝗲𝗰𝘁: Stuck files, delays, mismatches, and broken workflows as they happen. 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝗲: Root causes across systems, not just surface-level tickets. 𝗗𝗲-𝗿𝗶𝘀𝗸: Early signals on operational, regulatory, customer, or revenue impact. Autonmis doesn’t replace your tools - it connects and illuminates them, giving your team clear visibility, audit-ready insights, and the freedom to focus on impact, not firefighting. For teams of any size managing critical operations, 𝗔𝘂𝘁𝗼𝗻𝗺𝗶𝘀 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝗯𝗲𝗵𝗶𝗻𝗱 𝘀𝗺𝗼𝗼𝘁𝗵𝗲𝗿, 𝗳𝗮𝘀𝘁𝗲𝗿, 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 - 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀. ### What Do G2 Reviewers Say About Autonmis? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **efficiency** of Autonmis, streamlining data management and significantly reducing time spent on tasks. - Users find Autonmis **very easy to use and implement** , simplifying data management into a single, efficient platform. - Users enjoy the **time-saving automation** of Autonmis, significantly reducing task duration and enhancing overall productivity. - Users appreciate the **easy integrations** of Autonmis, streamlining workflows and centralizing data management effectively. - Users value the **AI integration** in Autonmis, which enhances efficiency and productivity significantly for their analysis tasks. **Cons:** - Users find the **poor visualization** experience limits usability, hindering intuitive graph and chart creation. - Users find **missing features** in Autonmis, particularly in advanced analytics and customization options. - Users find the **limited chart functionality** of Autonmis can hinder their ability to create intuitive visualizations efficiently. - Users note the **limited customization** options in Autonmis, hindering personalized workflows and advanced analyses. - Users find the **graph and visualization experience lacking** , suggesting improvements for a smoother and more intuitive dashboard creation. #### What Are Recent G2 Reviews of Autonmis? **"[All-in-One Platform That Streamlines Analytics with AI](https://www.g2.com/survey_responses/autonmis-review-12688510)"** **Rating:** 4.5/5.0 stars *— Ansh S.* [Read full review](https://www.g2.com/survey_responses/autonmis-review-12688510) --- **"[All-in-one data workflow platform that actually saves time](https://www.g2.com/survey_responses/autonmis-review-12576096)"** **Rating:** 4.5/5.0 stars *— Sujal K.* [Read full review](https://www.g2.com/survey_responses/autonmis-review-12576096) --- ### 11. [Planr](https://www.g2.com/products/planr/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 13 **Product Description:** Planr is a portfolio monitoring and intelligence platform built for private equity firms, operating partners, finance teams, and portfolio company leadership teams. Private equity firms often have the same core problem: portfolio data is spread across spreadsheets, ERP systems, CRM systems, board decks, PDFs, management reports, finance packs, and individual analyst models. The result is slow reporting, inconsistent metrics, manual consolidation work, and limited visibility into what is happening across the portfolio between reporting cycles. Planr gives firms a trusted data layer for portfolio operations. It connects structured and unstructured data from across portfolio companies, standardises key metrics, and creates a single view of performance across companies, funds, functions, and operating priorities. The platform is designed for the realities of private equity portfolio management, where every portfolio company may use different systems, definitions, reporting formats, and levels of finance maturity. Planr supports data ingestion from common business systems and reporting sources, including spreadsheets, PDFs, board packs, ERP platforms, CRM platforms, finance systems, and other operational tools. With Planr, PE teams can move from manual reporting workflows to more consistent portfolio visibility. Users can track financial, commercial, and operational KPIs, monitor portfolio company performance, support value creation work, and give operating partners, investors, and leadership teams a clearer view of progress. Planr is especially relevant for firms that need better portfolio reporting, faster access to company-level data, cleaner KPI definitions, stronger operating cadence, and a more scalable way to manage portfolio insight as the number of companies, systems, and stakeholders grows. Common use cases include: • Portfolio monitoring and reporting • PE portfolio data management • Value creation tracking • Operating partner dashboards • CFO and finance reporting • KPI standardisation across portfolio companies • Board and investor reporting support • Multi-company performance visibility • Data ingestion from spreadsheets, PDFs, ERP, CRM, and finance systems • Early visibility into portfolio trends and risks Planr helps private equity firms build a more reliable foundation for portfolio intelligence: cleaner data, clearer reporting, and better operating visibility across the companies they own. #### What Are Recent G2 Reviews of Planr? **"[Planr honest review](https://www.g2.com/survey_responses/planr-review-8759663)"** **Rating:** 4.5/5.0 stars *— Aman S.* [Read full review](https://www.g2.com/survey_responses/planr-review-8759663) --- **"[Best Tool for Business Analytics and Insights](https://www.g2.com/survey_responses/planr-review-9070182)"** **Rating:** 4.0/5.0 stars *— Ashish D.* [Read full review](https://www.g2.com/survey_responses/planr-review-9070182) --- ### 12. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) **Average Rating:** 4.2/5.0 **Total Reviews:** 328 **Product Description:** Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility. ### What Do G2 Reviewers Say About Spotfire Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **powerful and flexible data visualization** capabilities of Spotfire Analytics for exploring complex datasets interactively. - Users value the **ease of use** in Spotfire Analytics, enabling intuitive interactions with complex datasets effortlessly. - Users appreciate the **ability to create interactive visualizations** , transforming complex data into easily understandable insights for everyone. - Users love the **easy integrations** in Spotfire Analytics, allowing seamless connections with various data sources for analysis. - Users appreciate the **powerful analytics capabilities** of Spotfire, enabling advanced data visualization and integration seamlessly. **Cons:** - Users often face a **steep learning curve** with Spotfire, particularly when new to data modeling or advanced features. - Users find the **learning difficulty** of Spotfire Analytics to be steep, especially for those lacking BI experience. - Users find the **pricing quite expensive** , making it challenging for smaller organizations to justify the cost. - Users find the **steep learning curve** of Spotfire Analytics challenging, particularly for those without prior BI experience. - Users find the **complexity** of Spotfire Analytics daunting, especially new users navigating data modeling and scripting. #### What Are Recent G2 Reviews of Spotfire Analytics? **"[Where data science becomes visual—and actually useful!](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595)"** **Rating:** 5.0/5.0 stars *— Leandro A.* [Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595) --- **"[A Comprehensive Analytics Platform for Deep, Real-Time Data Insights](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634)"** **Rating:** 5.0/5.0 stars *— Manan B.* [Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634) --- #### What Are G2 Users Discussing About Spotfire Analytics? - [What is TIBCO Spotfire used for?](https://www.g2.com/discussions/what-is-tibco-spotfire-used-for) - 1 comment - [What is TIBCO Data Science used for?](https://www.g2.com/discussions/what-is-tibco-data-science-used-for) - [Is Tibco Spotfire free?](https://www.g2.com/discussions/is-tibco-spotfire-free) - 2 comments ### 13. [Explo](https://www.g2.com/products/explo/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 137 **Product Description:** Explo provides a powerful embedded dashboard and reporting solution. Securely share customizable product analytics, project reports, and KPIs with each of your customers all while seamlessly matching your product's design. Give your users the power to explore their data on their on by editing dashboards and building their own self serve data reports. ### What Do G2 Reviewers Say About Explo? *AI-generated summary from verified user reviews* **Pros:** - Users love the **flexible and beautiful charting features** of Explo, enabling quick customizations and seamless integrations. - Users love the **flexible dashboard customization** in Explo, enhancing their data visualization and reporting experience. - Users love the **intuitive user interface** of Explo, making dashboard creation simple and efficient. - Users love the **easy creation** of dashboards in Explo, appreciating its flexibility and intuitive UI for quick setups. - Users appreciate the **customizability** of Explo, enabling easy dataset linking and intuitive dashboard creation. **Cons:** - Users find the **implementation complex** and struggle with learning due to the unintuitive design of Explo. - Users find the **complex usage** of Explo challenging due to its unintuitive design and difficult learning curve. - Users find the **initial difficulty** in implementing customer-facing dashboards challenging due to the unintuitive design. - Users find the **layout issues** of Explo challenging, making dashboards complex and learning difficult. - Users find the **learning curve steep** due to the unintuitive design and complexity of dashboard implementation. #### What Are Recent G2 Reviews of Explo? **"[Explo Review](https://www.g2.com/survey_responses/explo-review-11673994)"** **Rating:** 5.0/5.0 stars *— Ravi T.* [Read full review](https://www.g2.com/survey_responses/explo-review-11673994) --- **"[Very useful](https://www.g2.com/survey_responses/explo-review-11657769)"** **Rating:** 5.0/5.0 stars *— Sowmiya R.* [Read full review](https://www.g2.com/survey_responses/explo-review-11657769) --- #### What Are G2 Users Discussing About Explo? - [How has Explo enhanced your data visualization efforts, and what features do you find most useful?](https://www.g2.com/discussions/how-has-explo-enhanced-your-data-visualization-efforts-and-what-features-do-you-find-most-useful) ### 14. [Bold Reports](https://www.g2.com/products/bold-reports/reviews) **Average Rating:** 4.1/5.0 **Total Reviews:** 56 **Product Description:** Bold Reports® by Syncfusion® is a modern self-service and embedded reporting solution that empowers organizations to design, manage, and deliver pixel-perfect, paginated reports with ease. It supports both RDL and RDLC formats, offering full compatibility and flexibility for enterprise reporting needs. With support for embedding in over 10 application platforms, including JavaScript, Angular, React, Blazor, and ASP.NET Core, Bold Reports seamlessly integrates into any tech stack. Bold Reports serves a wide range of users—from individual developers and small teams to large enterprises and government organizations—offering scalable solutions with export options that include PDF, Excel, Word, PowerPoint, and HTML. With an intuitive, WYSIWYG, drag-and-drop Report Designer, users of all skill levels can create interactive, rich reports using a wide array of 40+ report items: charts, tables, matrices, gauges, maps, barcodes, sparklines, and more. It supports over 30 data connectors, including SQL databases, Excel files, REST APIs, cloud services, and the Bold Data Hub for centralized data management. Backed by the end-to-end expert support of Syncfusion®, Bold Reports is ideal for organizations looking to scale their reporting with speed and intelligence. Customers benefit from 24/5 assistance from onboarding to full implementation through free, scheduled support calls, live chat, and email. Note: Older reviews may reference the product’s previous name, “Syncfusion® Report Platform.” ### What Do G2 Reviewers Say About Bold Reports? *AI-generated summary from verified user reviews* **Pros:** - Users find Bold Reports **easy to use** with its intuitive design and seamless integration, enhancing report creation efficiency. - Users value the **excellent customer support** from Bold Reports, finding prompt help and effective issue resolution. - Users value the **easy integrations** of Bold Reports, allowing seamless application in various environments with flexibility. - Users value the **robust report generation** capabilities of Bold Reports, enhancing flexibility and integration in applications. - Users value the **seamless integration** of Bold Reports into various applications, enhancing flexibility and report creation ease. **Cons:** - Users experience a **steep learning curve** initially, as the interface and setup can be quite confusing. - Users find the **slow performance** of Bold Reports frustrating, especially with large reports that require tuning. - Users face **report issues** including difficulties with previews, saving designs, setup complexities, and insufficient documentation. - Users report persistent **bugs** in Bold Reports, which disrupt functionality and hinder the overall experience. - Users find the **complex usage** of Bold Reports challenging, complicating setup and navigation for a smoother experience. #### What Are Recent G2 Reviews of Bold Reports? **"[Fast, Flexible & Fantastic Value!](https://www.g2.com/survey_responses/bold-reports-review-12761102)"** **Rating:** 5.0/5.0 stars *— Matthew R.* [Read full review](https://www.g2.com/survey_responses/bold-reports-review-12761102) --- **"[Impressive UI Simplifies Report Creation](https://www.g2.com/survey_responses/bold-reports-review-12616614)"** **Rating:** 5.0/5.0 stars *— Ronald N.* [Read full review](https://www.g2.com/survey_responses/bold-reports-review-12616614) --- #### What Are G2 Users Discussing About Bold Reports? - [What is Bold Reports used for?](https://www.g2.com/discussions/what-is-bold-reports-used-for) - 1 comment ### 15. [ibi WebFOCUS](https://www.g2.com/products/ibi-webfocus/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 149 **Product Description:** The ibi WebFOCUS® platform is an enterprise business intelligence and analytics solution equipped with data management, visual discovery, predictive analytics, and powerful visualizations. Combining these capabilities and data science in one unified platform, the WebFOCUS solution helps make data-driven decisions across the enterprise providing reports, dashboards, and customer-facing applications at scale. #### What Are Recent G2 Reviews of ibi WebFOCUS? **"[WebFOCUS - Best Product for Analytics](https://www.g2.com/survey_responses/ibi-webfocus-review-4278981)"** **Rating:** 4.5/5.0 stars *— Sanford K.* [Read full review](https://www.g2.com/survey_responses/ibi-webfocus-review-4278981) --- **"[MAKES DATA EASY!!!](https://www.g2.com/survey_responses/ibi-webfocus-review-719271)"** **Rating:** 5.0/5.0 stars *— Jill M.* [Read full review](https://www.g2.com/survey_responses/ibi-webfocus-review-719271) --- #### What Are G2 Users Discussing About ibi WebFOCUS? - [What is TIBCO WebFOCUS used for?](https://www.g2.com/discussions/what-is-tibco-webfocus-used-for) ### 16. [Holistics Data](https://www.g2.com/products/holistics-data/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 16 **Product Description:** Holistics lets BI teams build self-service analytics programmatically, so end users can find, trust, and ask deeper questions on their data. ### What Do G2 Reviewers Say About Holistics Data? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **powerful analytics** of Holistics Data, providing meaningful insights through advanced dashboarding and integrations. - Users praise the **excellent and responsive support team** of Holistics Data, enhancing their experience with seamless assistance. - Users appreciate the **powerful dashboard customization** in Holistics Data, enhancing their analytical capabilities and workflow integration. - Users praise the **powerful data visualization** capabilities of Holistics Data, delivering meaningful insights with ease. - Users value the **powerful dashboarding capabilities** of Holistics Data, enhancing their analysis with seamless integrations and support. **Cons:** - Users find that **dynamic AQL is challenging** to master, despite the helpfulness of the new AI assistant. - Users find the **initial difficulty** of learning dynamic AQL challenging, though AI assistance improves the experience. - Users find the **learning curve steep** with dynamic AQL, though the AI assistant offers some helpful guidance. - Users find the **SQL issues** with Holistics Data challenging, yet the new AI assistant offers some assistance. #### What Are Recent G2 Reviews of Holistics Data? **"[Outstanding, Good Value BI Tool with Powerful Dashboards and Great Support](https://www.g2.com/survey_responses/holistics-data-review-12111845)"** **Rating:** 5.0/5.0 stars *— Alex H.* [Read full review](https://www.g2.com/survey_responses/holistics-data-review-12111845) --- **"[Empowering Dashboards and Self-Service Insights with Holistics Data](https://www.g2.com/survey_responses/holistics-data-review-12611724)"** **Rating:** 4.5/5.0 stars *— Verified User in Consumer Services* [Read full review](https://www.g2.com/survey_responses/holistics-data-review-12611724) --- #### What Are G2 Users Discussing About Holistics Data? - [What is Holistics Data Software used for?](https://www.g2.com/discussions/what-is-holistics-data-software-used-for) ### 17. [KEY360](https://www.g2.com/products/key360/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 10 **Product Description:** Key360 offers a universally applicable, cloud-based Business Management platform for Business Intelligence, Project Management, Big Data & Analytics, ERP, Behaviour and Strategy Modification. #### What Are Recent G2 Reviews of KEY360? **"[Growing Business with KEY360](https://www.g2.com/survey_responses/key360-review-8509581)"** **Rating:** 5.0/5.0 stars *— LakshmiPriya G.* [Read full review](https://www.g2.com/survey_responses/key360-review-8509581) --- **"[Brilliant Business Intelligent software](https://www.g2.com/survey_responses/key360-review-8489979)"** **Rating:** 5.0/5.0 stars *— Anusuya R.* [Read full review](https://www.g2.com/survey_responses/key360-review-8489979) --- ### 18. [NovaceneAI Platform](https://www.g2.com/products/novaceneai-platform/reviews) **Average Rating:** 4.2/5.0 **Total Reviews:** 18 **Product Description:** The NovaceneAI® Platform is an AI-native solution designed to modernize organizational workflows by transforming unstructured data into actionable insights. It automates data analysis, streamlines decision-making processes, and accelerates time to value, enabling teams to focus on strategic initiatives rather than manual data processing. Key Features and Functionality: - Data Ingestion: Supports various data input methods, including API calls, web UI uploads, and extraction from unstructured files like MS Office documents, PDFs, and images. - Intelligent Transformation: Applies AI and machine learning algorithms for tasks such as clustering, classification, theme and keyword extraction, sentiment analysis, and more. - Custom Model Training: Allows users to train and retrain custom models without specialized knowledge, ensuring the platform evolves with organizational needs. - Visualization and Reporting: Provides built-in dashboards for real-time data visualization and generates automatic reports to facilitate immediate insight analysis. - Deployment Flexibility: Offers multiple deployment options, including single-tenant, on-premise, and offline configurations, ensuring data privacy and compliance with organizational security standards. Primary Value and Problem Solved: The NovaceneAI Platform addresses the challenge of managing and deriving insights from large volumes of unstructured data. By automating data analysis and integrating AI-driven automation, it reduces manual effort, minimizes errors, and accelerates decision-making processes. This empowers organizations to uncover patterns and trends, optimize operations, and maintain a competitive edge in their respective industries. #### What Are Recent G2 Reviews of NovaceneAI Platform? **"["NovaceneAI : Exploring the transformative Capabilities "](https://www.g2.com/survey_responses/novaceneai-platform-review-8822571)"** **Rating:** 4.5/5.0 stars *— Abhishek S.* [Read full review](https://www.g2.com/survey_responses/novaceneai-platform-review-8822571) --- **"[Flexible and equipped to thrive in any company, tech stack, or user environment](https://www.g2.com/survey_responses/novaceneai-platform-review-11247349)"** **Rating:** 5.0/5.0 stars *— Caitlin P.* [Read full review](https://www.g2.com/survey_responses/novaceneai-platform-review-11247349) --- ### 19. [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) **Average Rating:** 4.1/5.0 **Total Reviews:** 131 **Product Description:** At Cloudera, we believe data can make what is impossible today, possible tomorrow. We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI. We enable people to transform vast amounts of complex data into clear and actionable insights to enhance their businesses and exceed their expectations. Cloudera is leading hospitals to better cancer cures, securing financial institutions against fraud and cyber-crime, and helping humans arrive on Mars — and beyond. Powered by the relentless innovation of the open-source community, Cloudera advances digital transformation for the world’s largest enterprises #### What Are Recent G2 Reviews of Cloudera Data Platform? **"[Reliable Platform for Managing Large-Scale Data Pipelines](https://www.g2.com/survey_responses/cloudera-data-platform-review-11455117)"** **Rating:** 4.5/5.0 stars *— Paritosh C.* [Read full review](https://www.g2.com/survey_responses/cloudera-data-platform-review-11455117) --- **"[Easy to Use, Reliable, and Great for Team Collaboration](https://www.g2.com/survey_responses/cloudera-data-platform-review-12695378)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/cloudera-data-platform-review-12695378) --- #### What Are G2 Users Discussing About Cloudera Data Platform? - [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment - [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for) - [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for) ### 20. [TIMi](https://www.g2.com/products/timi/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 67 **Product Description:** 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/ ### What Do G2 Reviewers Say About TIMi? *AI-generated summary from verified user reviews* **Pros:** - Users find TIMi **highly user-friendly** , facilitating quick learning and effortless data transformation and analysis. - Users value the **quick and intuitive automation** capabilities of TIMi's Anatella software for efficient data transformations. - Users highlight the **exceptional customer support** from the TIMi team, ensuring quick responses and assistance without delays. - Users praise the **efficiency** of TIMi's Anatella software for quick big data transformations and intuitive usage. - Users highly value the **user-friendly interface and exceptional support** from the TIMi team, enhancing overall performance. #### What Are Recent G2 Reviews of TIMi? **"[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) --- **"[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) --- #### 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 ### 21. [Kyubit Business Intelligence](https://www.g2.com/products/kyubit-business-intelligence/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 12 **Product Description:** Kyubit is a collaborative, web-based Business Intelligence platform designed for simplicity, speed, and performance. Easy to implement and intuitive to use, it empowers teams to transform existing data into meaningful insights without complex setup or long development cycles. Kyubit BI connects directly to your SSAS OLAP (Tabular and Multidimensional) models, SQL databases, and Excel/CSV data sources — leveraging your existing infrastructure to deliver fast, visually compelling reports and interactive dashboards. Users can effortlessly slice, drill down, and explore data to uncover the insights that matter most. Advanced analytic capabilities are available both for your existing OLAP databases and for new analytic models created within Kyubit using SQL or Excel/CSV data. This flexibility allows organizations to enhance their current Microsoft BI environment while also expanding their analytics strategy when needed. BI content in Kyubit is secure, centrally managed, and built for collaboration. Reports and dashboards can be safely shared across teams, embedded into other applications, or distributed automatically through scheduled subscriptions. With role-based security and governance controls, organizations maintain full control over their data while enabling broader access to insights. With Kyubit BI, analytic dashboards and reports are created in minutes — not weeks — and are immediately ready for secure collaboration, interactive data exploration, and automated delivery. The result is faster decision-making, reduced reporting bottlenecks, and a more agile approach to enterprise analytics. Kyubit turns your existing data into a powerful, collaborative intelligence platform — helping your organization move from static reporting to dynamic, insight-driven performance. #### What Are Recent G2 Reviews of Kyubit Business Intelligence? **"[A BI solution with continuous development ](https://www.g2.com/survey_responses/kyubit-business-intelligence-review-385102)"** **Rating:** 4.0/5.0 stars *— Aaron Q.* [Read full review](https://www.g2.com/survey_responses/kyubit-business-intelligence-review-385102) --- **"[Great product and support](https://www.g2.com/survey_responses/kyubit-business-intelligence-review-1806820)"** **Rating:** 5.0/5.0 stars *— Edouard (Ned) V.* [Read full review](https://www.g2.com/survey_responses/kyubit-business-intelligence-review-1806820) --- ### 22. [Pentaho](https://www.g2.com/products/pentaho/reviews) **Average Rating:** 4.1/5.0 **Total Reviews:** 48 **Product Description:** Pentaho is a modular, enterprise-grade platform that makes it easy to manage complex data—on-premises, in the cloud, or in hybrid environments. Whether structured or unstructured, your data becomes a trusted asset that teams can use to operate with confidence, agility, and control. #### What Are Recent G2 Reviews of Pentaho? **"[Very easy to setup to build Snowflake reports and dashboards](https://www.g2.com/survey_responses/pentaho-review-4546630)"** **Rating:** 5.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/pentaho-review-4546630) --- **"[Pentaho to work with external IT services](https://www.g2.com/survey_responses/pentaho-review-3904972)"** **Rating:** 4.5/5.0 stars *— Andreas W.* [Read full review](https://www.g2.com/survey_responses/pentaho-review-3904972) --- ### 23. [Infor Birst](https://www.g2.com/products/infor-birst/reviews) **Average Rating:** 4.0/5.0 **Total Reviews:** 84 **Product Description:** Birst is a native cloud business intelligence (BI) and business analytics platform that helps organizations understand and optimize complex processes in less time than traditional BI solutions. Built with patented automation and machine learning technologies, Birst’s Data-as-a-Service approach connects teams and applications across the enterprise via a trusted network of analytics and insights to inform smarter decisions. This unique approach helps leading organizations leverage all their siloed and diverse data sources and extract insights to improve workforce productivity, asset optimization, process efficiencies, and customer satisfaction—often in 90 days or less. #### What Are Recent G2 Reviews of Infor Birst? **"[Excellent Business Intelligence Tool](https://www.g2.com/survey_responses/infor-birst-review-8159886)"** **Rating:** 5.0/5.0 stars *— Sakshi J.* [Read full review](https://www.g2.com/survey_responses/infor-birst-review-8159886) --- **"[Birst BI Capabilities are better then its competitors](https://www.g2.com/survey_responses/infor-birst-review-8280183)"** **Rating:** 4.5/5.0 stars *— Sumer S.* [Read full review](https://www.g2.com/survey_responses/infor-birst-review-8280183) --- #### What Are G2 Users Discussing About Infor Birst? - [What is your experience with Infor Birst for business intelligence, and what features do you rely on?](https://www.g2.com/discussions/what-is-your-experience-with-infor-birst-for-business-intelligence-and-what-features-do-you-rely-on) - [What is Infor Birst used for?](https://www.g2.com/discussions/what-is-infor-birst-used-for) ### 24. [The Ikigai platform](https://www.g2.com/products/the-ikigai-platform/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 16 **Product Description:** Ikigai's operational BI platform transforms the way businesses make tactical decisions. Business-user-friendly UI/UX enables anyone to infuse and prepare data and run robust AI-powered analyses to achieve their business goals. DeepMatch stitches together even the most disparate datasets in minutes without any data pre-processing. This patented technology improves over time and learns from humans. The proprietary DeepCasting technology generates forecasts on as little as a few weeks of data, also with higher accuracy than any other method. Instead of comparing a handful of what-if scenarios, Ikigai's proprietary DeepPlan analysis evaluates up to 10^19 options and identifies the most optimal ones for any given parameters. Built upon cutting-edge MIT research on AI and machine learning, Ikigai is uniquely positioned to help operational teams improve the speed and accuracy of their decisions under uncertainty and constant change, ultimately increasing the ROI for their business, while making the latest data science techniques accessible to any data professional. Learn more https://www.ikigailabs.io #### What Are Recent G2 Reviews of The Ikigai platform? **"[Made it effortless](https://www.g2.com/survey_responses/the-ikigai-platform-review-8544679)"** **Rating:** 5.0/5.0 stars *— Winnie D.* [Read full review](https://www.g2.com/survey_responses/the-ikigai-platform-review-8544679) --- **"[Ikigai is a great tool for ML/AI no code projects](https://www.g2.com/survey_responses/the-ikigai-platform-review-8550685)"** **Rating:** 5.0/5.0 stars *— Aaron R.* [Read full review](https://www.g2.com/survey_responses/the-ikigai-platform-review-8550685) --- ### 25. [ClicData](https://www.g2.com/products/clicdata/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 36 **Product Description:** ClicData is a cloud-based modern data platform that combines features across several categories, including Business Intelligence (BI), Data Analytics, ETL (Extract, Transform, Load), Data Warehousing, Embedded Analytics, and Data Management. It is designed to support organizations in building and maintaining complete data workflows in a single environment. The platform offers tools that enable customers to work across the entire data lifecycle, from data ingestion to transformation and visualization. It can be used by technical teams, such as data engineers and analysts, as well as by operational and business users who need reliable access to structured, consistent, and timely data. ClicData supports a range of use cases by allowing users to: • Connect to a wide range of data sources including databases, cloud applications, and flat files • Store data using an integrated data warehouse and data lake structure • Cleanse and transform data with built-in ETL tools using either no-code interfaces or SQL • Visualize data through dashboards and reports that can be shared internally or externally • Automate data updates, alerts, and report delivery through scheduling and workflow tools • Embed dashboards into third-party platforms or client-facing applications • Extend analysis with support for Python scripts for statistical or machine learning use cases ClicData is used by organizations in various industries including retail, healthcare, media, manufacturing, and public services. Its flexibility makes it applicable to both centralized data teams and smaller operational groups managing their own analytics needs. By bringing together multiple data capabilities into one platform, ClicData allows teams to reduce reliance on multiple disconnected tools and streamline how they manage and use data across their organization. #### What Are Recent G2 Reviews of ClicData? **"[Outstanding Customer Service and Communication from the ClicData Team](https://www.g2.com/survey_responses/clicdata-review-12848126)"** **Rating:** 4.0/5.0 stars *— Verified User in Primary/Secondary Education* [Read full review](https://www.g2.com/survey_responses/clicdata-review-12848126) --- **"[Quick and simple solution to implement with a responsive and efficient helpdesk team](https://www.g2.com/survey_responses/clicdata-review-11445571)"** **Rating:** 4.5/5.0 stars *— Verified User in Restaurants* [Read full review](https://www.g2.com/survey_responses/clicdata-review-11445571) --- #### What Are G2 Users Discussing About ClicData? - [What are the benefits of business intelligence?](https://www.g2.com/discussions/clicdata-what-are-the-benefits-of-business-intelligence) - [How do I create a dashboard in ClicData?](https://www.g2.com/discussions/how-do-i-create-a-dashboard-in-clicdata) - 1 comment, 1 upvote - [Is ClicData free?](https://www.g2.com/discussions/is-clicdata-free) - 1 comment ## 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.