# Best Analytics Platforms for Small Business - Page 3

## How Many Analytics Platforms Products Does G2 Track?

**Total Products under this Category:** 366

### Category Stats (Aug 2026)

- **Average Rating:** 4.5/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Aible (+4.36%) - Among all products in this category, Aible recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Analytics Platforms Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 28,800+ Authentic Reviews
- 366+ 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.

## G2 Grid® for Analytics Platforms
 ![G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/analytics-platforms/grids.png?focus%5B%5D=1213&focus%5B%5D=29364&focus%5B%5D=1327283&focus%5B%5D=610&focus%5B%5D=989&focus%5B%5D=20158&focus%5B%5D=5981&focus%5B%5D=5048)

Highlighted products: Tableau, Microsoft Power BI, SAS Viya, GoodData.AI, Alteryx, Amazon QuickSight, Yellowfin BI, and Looker.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=tableau&focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=sas-sas-viya&focus%5B%5D=gooddata-ai&focus%5B%5D=alteryx&focus%5B%5D=amazon-quicksight&focus%5B%5D=yellowfin-bi&focus%5B%5D=looker&segment=small-business)

**Sponsored**

### Lightdash

Lightdash is the fastest way for modern data teams to build and scale AI-powered self-serve analytics. It enables analysts to define metrics and make them accessible to non-technical users, who can explore data and build dashboards without writing SQL. Lightdash integrates with modern data stacks, supports a governed semantic layer, and offers developer-friendly features like Git-based workflows. It is designed to reduce the overhead of maintaining BI tools, streamline metric definitions, and improve access to consistent data across teams. Lightdash is used and trusted by companies of all sizes, from start ups to international publicly listed organisations.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=620&secure%5Bchosen_at%5D=2026-08-02T20%3A27%3A54Z&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1215392&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms%2Fsmall-business%3Fpage%3D3%26segment%3Dsmall-business&secure%5Btoken%5D=d0ba7a6296ee68cfd8398e221f7020f5e4d2c3fe4b7bb7e59a5453fee131839b&secure%5Burl%5D=https%3A%2F%2Fwww.lightdash.com%2F&secure%5Burl_type%5D=company_website)

### [Equals](https://www.g2.com/products/equals/reviews)

The next-generation spreadsheet. Equals is the fastest, most flexible way to measure and report on your SaaS business. Automate your reporting with precision. Analyze from the comfort of a spreadsheet. Powered by live data from Stripe, Salesforce, Hubspot, and your SQL database. ---- We all understand the power and value of data. Yet, amongst the explosion of new tools to help us make sense of it all, we invariably end up back in a spreadsheet. BI tools are inherently complex and one-size-fits-all solutions simply don't cut it. Why? The spreadsheet is the only tool that gives you the flexibility to match the specifics of your business. There's really nothing like it — a canvas on which you can play, move, touch, and feel data while building compounding, sophisticated analyses and reports. Yet, starting analyses in Excel and Sheets is painful. Your data always comes from somewhere else, you have to export it to a CSV, import it into your spreadsheet, and hope you didn't miss anything. And then keeping it up-to-date is the original pain times ten. At Equals, we're building a next-generation spreadsheet that works just like those that came before but is fit for this era of work. It's directly connected to your data and is as unconstrained and flexible as a spreadsheet. It's paired with BI-grade dashboards that are as quick and easy to create as a doc. Based in North America, we have been building software and companies for 10+ years at the likes of Intercom, Atlassian, Stripe, and Loom. We're backed by the best innovators and investors in Silicon Valley, including a16z and Craft Ventures.

**Average Rating:** 4.8/5.0

**Total Reviews:** 39

#### How Do G2 Users Rate Equals?

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.8/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Equals?

- **Seller:** [Equals](https://www.g2.com/sellers/equals)
- **Year Founded:** 2021
- **HQ Location:** US Remote
- **Twitter:** @heyequals  
3,799 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=05c8f8d1fac8287fa7456b26ac70c8877c850482df86e28d85f04a593ecfc069&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fequalshq%2F&secure%5Burl_type%5D=linkedin_company_website)  
26 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO
- **Top Industries:** Computer Software
- **Company Size:** 85% Small, 15% Medium

#### What Do G2 Reviewers Say About Equals?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Equals, enjoying effortless formula writing and intuitive query building.
- Users praise the **setup ease** of Equals, highlighting efficient onboarding and expert assistance for seamless integration.
- Users highlight the **efficiency** of Equals in managing complex data without needing to export to Excel.
- Users appreciate the **seamless integrations** of Equals, allowing efficient data management and analysis from multiple sources.
- Users value the **centralized data reporting** of Equals, enhancing workflow and saving significant time on analysis tasks.

##### Cons

- Users experience occasional **bugs** , including crashes with large data sets and date formatting issues affecting sorting.
- Users report a **slight learning curve** with Equals, finding the interface confusing for newcomers despite good support resources.
- Users often feel the need for a **filters feature** in Equals, noting it as a missing yet essential tool.
- Users find the **complex usage** of Equals can be confusing, particularly for beginners trying to navigate the interface.
- Users find **copy-paste issues** with Equals, noting it lacks the functionality and shortcuts of Excel.

#### What Are Recent G2 Reviews of Equals?

**["One of the best tools for GTM Teams"](https://www.g2.com/survey_responses/equals-review-12316749)**

**Rating:** 5.0/5.0 stars

_— Badr E._

[Read full review](https://www.g2.com/survey_responses/equals-review-12316749)

**["Effortless CRM Data Analysis and Dashboard Creation"](https://www.g2.com/survey_responses/equals-review-12082723)**

**Rating:** 4.0/5.0 stars

_— Appu M._

[Read full review](https://www.g2.com/survey_responses/equals-review-12082723)

### [Qrvey](https://www.g2.com/products/qrvey/reviews)

Qrvey is an embedded analytics solution specializing in multi-tenant analytics for SaaS applications. Qrvey’s goal for product teams is to empower you to build less software and deliver more value. Qrvey is the only embedded analytics solution that includes an analytics layer to connect your data warehouse to your front-end analytics. Qrvey’s approach is different. By including a native data lake, you can scale personalized analytics that your customers will love. All while giving your development team the tools to ship faster and build less.

**Average Rating:** 4.4/5.0

**Total Reviews:** 28

#### How Do G2 Users Rate Qrvey?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.2/10 (Category avg: 8.4/10)
- **Reports Interface:** 7.9/10 (Category avg: 8.7/10)
- **Calculated Fields:** 7.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Qrvey?

- **Seller:** [Qrvey](https://www.g2.com/sellers/qrvey)
- **Year Founded:** 2016
- **HQ Location:** Tysons, Virginia
- **Twitter:** @qrvey  
463 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=86dc7693bf9c6dc4b793fe4c04abf2fa57f4cda751eae31f9bb719b261bde64a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fqrvey%2F&secure%5Burl_type%5D=linkedin_company_website)  
68 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 55% Small, 38% Medium

#### What Do G2 Reviewers Say About Qrvey?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Qrvey's **ease of use** appealing, as it simplifies analytics with a no-code visual setup.
- Users appreciate the **all-in-one embedded analytics** of Qrvey, seamlessly integrating data collection, automation, and analysis.
- Users value the **no-code automation** of Qrvey, streamlining their analytics processes effortlessly within a unified platform.
- Users admire the **remarkable efficiency** of Qrvey, facilitating faster decision-making through comprehensive data analysis.
- Users appreciate the **intuitive interface** of Qrvey, which simplifies embedding analytics and enhances data visibility effectively.

##### Cons

- Users experience a challenging **learning curve** , making it difficult to efficiently master Qrvey's features and functionalities.
- Users find the **complex usage** of Qrvey challenging, particularly for those with simple or small-scale needs.
- Users find the **confusing pricing** of Qrvey makes budgeting and planning more challenging than expected.
- Users find **customization difficult** due to the complex setup and technical knowledge required, affecting overall satisfaction.
- Users find Qrvey to be **expensive** and struggle with non-transparent pricing and complex setup requirements.

#### What Are Recent G2 Reviews of Qrvey?

**["Qrvey: Deliver More Analytics with Less Engineering Effort"](https://www.g2.com/survey_responses/qrvey-review-12387542)**

**Rating:** 5.0/5.0 stars

_— Shabuddin G._

[Read full review](https://www.g2.com/survey_responses/qrvey-review-12387542)

**["Empowers Decisions with Comprehensive Data Tools"](https://www.g2.com/survey_responses/qrvey-review-11978512)**

**Rating:** 5.0/5.0 stars

_— Antoneta Valerie B._

[Read full review](https://www.g2.com/survey_responses/qrvey-review-11978512)

#### What Are G2 Users Discussing About Qrvey?

- [What is Qrvey used for?](https://www.g2.com/discussions/what-is-qrvey-used-for)

### [Sisense](https://www.g2.com/products/sisense/reviews)

Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence.

**Average Rating:** 4.2/5.0

**Total Reviews:** 986

#### How Do G2 Users Rate Sisense?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.7/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Sisense?

- **Seller:** [Sisense, Inc.](https://www.g2.com/sellers/sisense-inc)
- **Company Website:** www.sisense.com
- **Year Founded:** 2004
- **HQ Location:** New York
- **Twitter:** @Sisense  
6,543 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2b7e7179b343ec502e8de8affd12c867bbf2bed15056ba11da8df09ff79586a2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F148828%2F&secure%5Burl_type%5D=linkedin_company_website)  
546 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Product Manager
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Medium, 24% Small

#### What Do G2 Reviewers Say About Sisense?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** and simple design of Sisense, making BI accessible for everyone.
- Users value the **intuitive data visualization** features of Sisense, which enable rapid and easy dashboard creation.
- Users value the **easy integration** with multiple systems, enhancing overall workflow and functionality for developers.
- Users praise the **helpful customer support** of Sisense, emphasizing responsiveness and effective assistance from CSMs.
- Users value the **intuitive dashboard customization** in Sisense, enabling rapid development of engaging, actionable visualizations.

##### Cons

- Users find the **learning curve steep** , with challenges in basic functionalities, training, and report organization.
- Users find **missing features** to be a barrier, struggling with report customization, data models, and aggregations.
- Users report frequent **bugs** and challenges with updates, formulas, visuals, and diminishing support quality in Sisense.
- Users often struggle with **dashboard issues** like limited column resizing, poor report management, and difficult filter navigation.
- Users find the **limited customization options** in Sisense complex, hindering their ability to create tailored dashboards.

#### What Are Recent G2 Reviews of Sisense?

**["Customizable Dashboards, but Data Freshness Challenges"](https://www.g2.com/survey_responses/sisense-review-8849455)**

**Rating:** 4.5/5.0 stars

_— Chris P._

[Read full review](https://www.g2.com/survey_responses/sisense-review-8849455)

**["Powerful BI Tool with Flexible Customization"](https://www.g2.com/survey_responses/sisense-review-8044935)**

**Rating:** 5.0/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/sisense-review-8044935)

#### What Are G2 Users Discussing About Sisense?

- [What is Sisense used for?](https://www.g2.com/discussions/sisense-what-is-sisense-used-for) - 1 comment
- [What is Sisense Healthcare Analytics used for?](https://www.g2.com/discussions/what-is-sisense-healthcare-analytics-used-for)
- [What does Sisense cost?](https://www.g2.com/discussions/what-does-sisense-cost)
- [Who uses Sisense?](https://www.g2.com/discussions/who-uses-sisense) - 1 comment
- [What is Sisense used for?](https://www.g2.com/discussions/what-is-sisense-used-for) - 2 comments

### [ConverSight](https://www.g2.com/products/conversight/reviews)

ConverSight is a Contextual Decision Intelligence Platform, built based on its patented Augmented Conversational AI and Analytics techniques. ConverSight's AI assistant, Athena, delivers business insights by connecting to customer’s data and generating insights & recommendations using machine learning techniques. With ConverSight, businesses are able to implement artificial intelligence in their response planning methods, allowing for better accuracy, stronger decision-making, and smoother reaction times, which ultimately reduces costs and drastically improves the function of the supply chain. ConverSight acts as a Supply Chain Control Tower to help businesses optimize operations, minimize disruptions, and resolve critical issues in real time. ConverSight's AI business assistant, Athena, offers businesses greater data visibility and insights to proactively improve their supply chains and make other accurate, informed decisions

**Average Rating:** 4.6/5.0

**Total Reviews:** 40

#### How Do G2 Users Rate ConverSight?

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.2/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind ConverSight?

- **Seller:** [ConverSight](https://www.g2.com/sellers/conversight)
- **Company Website:** conversight.ai
- **Year Founded:** 2017
- **HQ Location:** Indianapolis, IN
- **Twitter:** @ConverSight\_ai  
176 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=510af0b87bf2445f2491007a4dd53275ec73206a919dd7b0bb1d34b60f4cd069&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fconversight%2F&secure%5Burl_type%5D=linkedin_company_website)  
91 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Food & Beverages
- **Company Size:** 81% Small, 16% Medium

#### What Do G2 Reviewers Say About ConverSight?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of ConverSight, enabling quick report generation and instant access to vital data.
- Users highlight the **efficiency** of ConverSight, enabling quick access to crucial data and streamlining decision-making processes.
- Users value the **seamless integrations** of ConverSight, enabling efficient data access across all systems for better decision-making.
- Users value the **fast and integrated performance** of ConverSight, enabling quick, informed decisions for supply chain management.
- Users appreciate the **conversational insights and visual dashboards** of ConverSight, enhancing data exploration and strategic planning.

##### Cons

- Users find the **complexity of querying and data integration** in ConverSight to hinder their overall experience.
- Users find the **limited customization** options frustrating, impacting their ability to tailor insights and presentations effectively.
- Users experience **challenging data integration** with legacy systems and specialized sources, impacting usability and efficiency.
- Users face **integration issues** with ConverSight, struggling with specialized data sources and challenging natural language queries.
- Users experience a **steep learning curve** with ConverSight, finding it challenging to formulate complex queries effectively.

#### What Are Recent G2 Reviews of ConverSight?

**["It's our practical solution for faster and more consistent reporting"](https://www.g2.com/survey_responses/conversight-review-12522561)**

**Rating:** 4.5/5.0 stars

_— Ludmila B._

[Read full review](https://www.g2.com/survey_responses/conversight-review-12522561)

**["It urns complex data into actionable insights"](https://www.g2.com/survey_responses/conversight-review-12467977)**

**Rating:** 4.5/5.0 stars

_— Ramon V._

[Read full review](https://www.g2.com/survey_responses/conversight-review-12467977)

#### What Are G2 Users Discussing About ConverSight?

- [What is ConverSight.ai used for?](https://www.g2.com/discussions/what-is-conversight-ai-used-for)

### [Zoho Analytics](https://www.g2.com/products/zoho-analytics/reviews)

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.

**Average Rating:** 4.2/5.0

**Total Reviews:** 281

#### How Do G2 Users Rate Zoho Analytics?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.1/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Zoho Analytics?

- **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)
- **Year Founded:** 1996
- **HQ Location:** Austin, TX
- **Twitter:** @Zoho  
137,880 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9c8e45ddb296c32c6c5597ef9ba945c94562c57624f7bd1dcf1a9e9931f71578&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F38373%2F&secure%5Burl_type%5D=linkedin_company_website)  
30,766 employees on LinkedIn®
- **Phone:** +1 (888) 900-9646 

#### Who Uses This Product?

- **Who Uses This:** Director, Business Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 50% Small, 43% Medium

#### What Do G2 Reviewers Say About Zoho Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Zoho Analytics, benefiting from intuitive interfaces and customizable dashboards.
- Users appreciate the **intuitive interface** of Zoho Analytics, allowing for easy data visualization and customizable reports.
- Users commend the **seamless integrations** of Zoho Analytics, allowing easy data consolidation across various Zoho platforms.
- Users appreciate the **intuitive and customizable dashboards** of Zoho Analytics, enhancing their data visualization experience.
- Users value the **data visualization tools** in Zoho Analytics, enabling effective decision-making with visually appealing reports.

##### Cons

- Users face a **steep learning curve** with Zoho Analytics, which can be overwhelming for beginners and hinders productivity.
- Users find **limited customization options** in Zoho Analytics, hindering their ability to tailor the tool effectively.
- Users report a **clunky data integration process** that complicates connecting multiple sources and reviewing long-term trends.
- Users find **integration issues** with Zoho Analytics, making data connections difficult and requiring frequent manual checks.
- Users feel that Zoho Analytics has **missing features** compared to competitors, limiting flexibility and customization options.

#### What Are Recent G2 Reviews of Zoho Analytics?

**["A Powerful, Data-Driven Dashboard Tool with Easy Multi-App Integration"](https://www.g2.com/survey_responses/zoho-analytics-review-12870240)**

**Rating:** 5.0/5.0 stars

_— Arpit S._

[Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12870240)

**["Excellent Reporting with Zoho Analytics and Zoho Books Sync"](https://www.g2.com/survey_responses/zoho-analytics-review-12722454)**

**Rating:** 5.0/5.0 stars

_— Abhinandan J._

[Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12722454)

#### What Are G2 Users Discussing About Zoho Analytics?

- [What is Zoho Analytics used for?](https://www.g2.com/discussions/what-is-zoho-analytics-used-for) - 2 comments
- [What is the use of Zoho?](https://www.g2.com/discussions/what-is-the-use-of-zoho) - 1 comment
- [Is Zoho Analytics free?](https://www.g2.com/discussions/is-zoho-analytics-free) - 1 comment
- [How does Zoho Analytics work?](https://www.g2.com/discussions/how-does-zoho-analytics-work)
- [What are the features of Zoho?](https://www.g2.com/discussions/zoho-analytics-what-are-the-features-of-zoho) - 1 comment

### [Luzmo](https://www.g2.com/products/luzmo/reviews)

Luzmo helps businesses embed data products hassle-free, empowering their users with fast, confident decisions in record time.

**Average Rating:** 4.6/5.0

**Total Reviews:** 70

#### How Do G2 Users Rate Luzmo?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.2/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.8/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Luzmo?

- **Seller:** [Luzmo NV](https://www.g2.com/sellers/luzmo-nv)
- **Year Founded:** 2015
- **HQ Location:** Brooklyn, US
- **Twitter:** @luzmo\_official  
895 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d225d4544e9582bc94836bf9a260ea1afd86c53d8d59f73f4504786a1521c939&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10198259%2F&secure%5Burl_type%5D=linkedin_company_website)  
50 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 59% Small, 32% Medium

#### What Do G2 Reviewers Say About Luzmo?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive ease of use** of Luzmo, enabling quick adoption and fast dashboard creation.
- Users are impressed by Luzmo's **embedding features** , enabling quick insights and seamless integration into their SaaS applications.
- Users value the **customization features** of Luzmo, enabling tailored applications and efficient management across diverse client environments.
- Users commend Luzmo for its **intuitive interface and rapid deployment** , enabling quick insights and analytics integration.
- Users praise the **easy setup** of Luzmo, enabling swift adoption and fast deployment of analytics tools.

##### Cons

- Users find Luzmo's **complexity challenging** , with setup difficulties and limited querying capabilities hindering efficiency.
- Users are disappointed by Luzmo's **limited options** for complex queries and insufficient chart functionality.
- Users note **performance issues** with large datasets and lag in the interface, affecting overall workflow experience.
- Users experience **table limitations** with Luzmo, hindering complex queries and causing challenges with data handling.
- Users experience **performance and sync issues** with Luzmo, especially when handling larger datasets, impacting usability.

#### What Are Recent G2 Reviews of Luzmo?

**["Powerful Embedded BI with Proactive Support Addressing Performance at Scale"](https://www.g2.com/survey_responses/luzmo-review-12246440)**

**Rating:** 4.5/5.0 stars

_— Verified User in Logistics and Supply Chain_

[Read full review](https://www.g2.com/survey_responses/luzmo-review-12246440)

**["Fast, Beautiful Dashboards and Effortless Embedding"](https://www.g2.com/survey_responses/luzmo-review-11991075)**

**Rating:** 4.5/5.0 stars

_— Shanti B._

[Read full review](https://www.g2.com/survey_responses/luzmo-review-11991075)

#### What Are G2 Users Discussing About Luzmo?

- [What is Cumul.io used for?](https://www.g2.com/discussions/what-is-cumul-io-used-for)

### [Easy Insight](https://www.g2.com/products/easy-insight/reviews)

Easy Insight provides affordable, easy to use SaaS business intelligence. Instant connections to other popular SaaS products such as Basecamp, Zendesk, and Salesforce come with prebuilt dashboards to get you up and running with immediate results. A simple report builder helps you quickly adjust or create any new reports from scratch in a variety of visualizations. When you're ready to move beyond connecting to one or two SaaS products, Easy Insight provides robust ETL capabilities within the product itself to help you import flat file or relational database data, transform and join the data with other data sources, and create everything from beautiful executive dashboards to detailed tables. Extensive and easy to use security features make it easy to limit which data your users can see, enabling you to take a single dashboard and present it differently to everyone in your organization. Each sales rep will see his own data and each project manager her own projects, all operating on that same core set of dashboards and dramatically reducing the cost of rework.

**Average Rating:** 4.8/5.0

**Total Reviews:** 42

#### How Do G2 Users Rate Easy Insight?

- **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.1/10 (Category avg: 8.7/10)
- **Calculated Fields:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Easy Insight?

- **Seller:** [Easy Insight](https://www.g2.com/sellers/easy-insight)
- **Year Founded:** 2008
- **HQ Location:** Denver, CO
- **Twitter:** @easyinsight  
513 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=361064c7d54d59e401c82629d54e17cfc737683e6f23dfb94a142bafcc65b3ef&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F259401%2F&secure%5Burl_type%5D=linkedin_company_website)  
3 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 68% Small, 25% Medium

#### What Are Recent G2 Reviews of Easy Insight?

**["Streamline Your Reporting with Easy Insight"](https://www.g2.com/survey_responses/easy-insight-review-8381279)**

**Rating:** 5.0/5.0 stars

_— Brittany F._

[Read full review](https://www.g2.com/survey_responses/easy-insight-review-8381279)

**["A must have"](https://www.g2.com/survey_responses/easy-insight-review-8345034)**

**Rating:** 5.0/5.0 stars

_— Jezreel D._

[Read full review](https://www.g2.com/survey_responses/easy-insight-review-8345034)

#### What Are G2 Users Discussing About Easy Insight?

- [What is Easy Insight used for?](https://www.g2.com/discussions/what-is-easy-insight-used-for)

### [SAS Visual Analytics](https://www.g2.com/products/sas-visual-analytics/reviews)

SAS® Visual Analytics is a single application for reporting, data exploration and analytics that empowers everyone to easily discover and share powerful insights.

**Average Rating:** 4.4/5.0

**Total Reviews:** 207

#### How Do G2 Users Rate SAS Visual Analytics?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.6/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAS Visual Analytics?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®
- **Phone:** 1-800-727-0025

#### Who Uses This Product?

- **Who Uses This:** Student
- **Top Industries:** Banking, Higher Education
- **Company Size:** 42% Large, 32% Small

#### What Do G2 Reviewers Say About SAS Visual Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of SAS Visual Analytics, enabling quick insights for non-technical individuals.
- Users appreciate the **seamless integration** of SAS Visual Analytics with various data sources for efficient data handling.
- Users value the **ease of use for data analysis** , making exploration and dashboard creation straightforward and insightful.
- Users find the **data visualization features** of SAS Visual Analytics essential for presenting insights effectively.
- Users appreciate the **dynamic charting features** of SAS Visual Analytics, enhancing data exploration and insight sharing effortlessly.

##### Cons

- Users experience **slow performance** with SAS Visual Analytics when handling large datasets or complex reports in cloud environments.
- Users find SAS Visual Analytics to be **expensive** , which may deter some businesses from adopting its functionality.
- Users report **bugs and integration difficulties** with SAS Visual Analytics, hindering smooth operation and programming compatibility.
- Users find the **complexity** of SAS Visual Analytics challenging, emphasizing the need for a more user-friendly interface.
- Users find the **complexity of the interface** challenging, suggesting a need for a more user-friendly design.

#### What Are Recent G2 Reviews of SAS Visual Analytics?

**["Ease of Use and Powerful Display"](https://www.g2.com/survey_responses/sas-visual-analytics-review-12707936)**

**Rating:** 4.0/5.0 stars

_— Elisa L._

[Read full review](https://www.g2.com/survey_responses/sas-visual-analytics-review-12707936)

**["Fast and Efficient Data Transformation"](https://www.g2.com/survey_responses/sas-visual-analytics-review-12713877)**

**Rating:** 5.0/5.0 stars

_— Francisco Javier R._

[Read full review](https://www.g2.com/survey_responses/sas-visual-analytics-review-12713877)

#### What Are G2 Users Discussing About SAS Visual Analytics?

- [What is SAS Add-In for Microsoft Office 365 used for?](https://www.g2.com/discussions/what-is-sas-add-in-for-microsoft-office-365-used-for) - 1 comment
- [What is SAS Visual Text analytics?](https://www.g2.com/discussions/what-is-sas-visual-text-analytics) - 3 comments
- [What are the components of Visual Analytics?](https://www.g2.com/discussions/what-are-the-components-of-visual-analytics) - 2 comments
- [How does SAS Visual Analytics work?](https://www.g2.com/discussions/how-does-sas-visual-analytics-work) - 1 comment
- [What can SAS Visual Analytics do?](https://www.g2.com/discussions/what-can-sas-visual-analytics-do) - 1 comment

### [Usermaven](https://www.g2.com/products/usermaven/reviews)

Usermaven is an AI-powered marketing attribution and product analytics platform for B2B SaaS companies and agencies. It connects every marketing touchpoint to revenue using multi-touch attribution, unified website and product analytics, and CRM data, helping teams see which campaigns, channels, and ads actually drive conversions.

**Average Rating:** 4.8/5.0

**Total Reviews:** 95

#### How Do G2 Users Rate Usermaven?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.6/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.4/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Usermaven?

- **Seller:** [Usermaven Inc.](https://www.g2.com/sellers/usermaven-inc)
- **Year Founded:** 2021
- **HQ Location:** Delaware, DE
- **Twitter:** @usermaven  
337 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4236baefe0a0f0ee0066c0499a2e37a600a461cab5a0fb3c304f48e80634408a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fusermaven%2F&secure%5Burl_type%5D=linkedin_company_website)  
10 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Founder, Owner
- **Top Industries:** Marketing and Advertising, Computer Software
- **Company Size:** 97% Small, 3% Medium

#### What Do G2 Reviewers Say About Usermaven?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise Usermaven for its **ease of use** and intuitive dashboard, enhancing their marketing analytics experience significantly.
- Users love the **easy setup** of Usermaven, finding it effortless and efficient for their analytics needs.
- Users value the **granularity and real-time reporting** of Usermaven, enhancing marketing analytics and user understanding.
- Users praise Usermaven's **intuitive interface** , allowing easy navigation and efficient data tracking without technical expertise.
- Users commend the **effortless setup** of Usermaven, enabling easy tracking without the need for technical expertise.

##### Cons

- Users find the **learning curve steep** , suggesting enhanced documentation and tutorials for a better onboarding experience.
- Users miss the **real-time monitoring** of website visitors that was available in previous analytics versions.
- Users desire **difficult customization** options for Usermaven, particularly for branding elements like colors and design.
- Users face **email integration issues** with Usermaven, which may affect the overall functionality and experience.
- Users experience **ineffective error handling** for bot traffic spikes, which occasionally disrupts their analysis experience.

#### What Are Recent G2 Reviews of Usermaven?

**["Best Marketing Attribution Platform with 10/10 Onboarding and Support"](https://www.g2.com/survey_responses/usermaven-review-12261172)**

**Rating:** 4.5/5.0 stars

_— Imrana E._

[Read full review](https://www.g2.com/survey_responses/usermaven-review-12261172)

**["Fast Setup, Powerful Multi-Touch Attribution Platform"](https://www.g2.com/survey_responses/usermaven-review-13183088)**

**Rating:** 4.5/5.0 stars

_— amna f._

[Read full review](https://www.g2.com/survey_responses/usermaven-review-13183088)

### [Board](https://www.g2.com/products/board/reviews)

Board is the Enterprise Planning Platform built to accelerate business performance and enable continuous planning with greater forecast accuracy to drive confident, aligned decisions. Its fully integrated planning solution spans the entire enterprise, delivering value for financial and operational planning in one unified platform. Using internal data and expert-curated external indicators, Board provides real-time visibility into your business. Board offers the most flexible, collaborative and adaptive user experience, powering executive dashboards and analytic capabilities that allows clear explanation and interpretation delivered through generative AI. This allows organizations to respond in an agile manner: capitalize on opportunities, optimize resources and mitigate risks.

**Average Rating:** 4.4/5.0

**Total Reviews:** 303

#### How Do G2 Users Rate Board?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.4/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Board?

- **Seller:** [Board International](https://www.g2.com/sellers/board-international)
- **Company Website:** www.board.com
- **Year Founded:** 1994
- **HQ Location:** Chiasso, Ticino
- **Twitter:** @BoardSoftware  
27,073 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f8ce543b4ab52ef9ff3a193f5b9907487af6980029b68461a54f1dd2dbee6a92&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F98246%2F&secure%5Burl_type%5D=linkedin_company_website)  
932 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Software Developer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Medium, 40% Large

#### What Do G2 Reviewers Say About Board?

_AI-generated summary from verified user reviews_

##### Pros

- Users find BOARD's interface **easy to use** , enabling quick report generation and seamless updates for customized solutions.
- Users value the **flexibility** of BOARD, enabling tailored solutions that adapt seamlessly to various business processes.
- Users appreciate the **flexibility and ease of integration** of Board, making data management simple and efficient.
- Users value the **efficiency** of BOARD for seamless sales, operations, and merchandising activities in one platform.
- Users value BOARD's **customization capabilities** , allowing tailored solutions that fit organizational cultures and workflows perfectly.

##### Cons

- Users experience **slow performance** with large datasets and complex setups, impacting efficiency and report creation.
- Users find the **steep learning curve** of Board frustrating, often hindering effective usage and efficiency.
- Users often find **missing features** in report creation limits their ability to effectively utilize the platform.
- Users experience **poor visualization** with Board, facing challenges in dashboard design and complex data handling.
- Users often find Board's **complexity** a challenge, especially regarding setup and performance with large datasets.

#### What Are Recent G2 Reviews of Board?

**["Ideal solution for improving business performance"](https://www.g2.com/survey_responses/board-review-10785693)**

**Rating:** 4.5/5.0 stars

_— Lorenzo L._

[Read full review](https://www.g2.com/survey_responses/board-review-10785693)

**["Flexible All-in-One Platform for Planning, Reporting, and Analytics"](https://www.g2.com/survey_responses/board-review-13173372)**

**Rating:** 5.0/5.0 stars

_— Constantinos A._

[Read full review](https://www.g2.com/survey_responses/board-review-13173372)

#### What Are G2 Users Discussing About Board?

- [What is Board used for?](https://www.g2.com/discussions/what-is-board-used-for) - 1 upvote

### [OWOX](https://www.g2.com/products/owox/reviews)

OWOX Data Marts is a Free Forever Self-Service Analytics Platform that brings live, trusted data to spreadsheets and dashboards of decision-makers. Ask in plain English or click to build – your trusted reports update in real time with no analyst in the loop. With OWOX Data Marts, companies grow revenue as fast as they collect new data by enabling self-service reporting for everyone. Trusted by 165,000+ users in data teams, but also in marketing, finance, and product teams: from fast-scaling startups to global enterprises, OWOX products powers decisions across every department with data people actually trust. ‍ Self-hosted and Cloud Deployment are available to suit any data stack. Imagine a world where exploring data is as easy as driving a car, without the limitations of public transport (traditional BI dashboards) or the cost of a private driver (data analysts). That's exactly what we assure you!

**Average Rating:** 4.9/5.0

**Total Reviews:** 290

#### How Do G2 Users Rate OWOX?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Steps to Answer:** 5.0/10 (Category avg: 8.4/10)
- **Reports Interface:** 5.8/10 (Category avg: 8.7/10)
- **Calculated Fields:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind OWOX?

- **Seller:** [OWOX](https://www.g2.com/sellers/owox)
- **Year Founded:** 2002
- **HQ Location:** WALNUT, California
- **Twitter:** @owox  
435 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ee72c8f3a2f9195ba2e32b60c5801ad9e8bb90135f3c82058e174290a51247ed&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1721152%2F&secure%5Burl_type%5D=linkedin_company_website)  
68 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Chief Marketing Officer, CEO
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 48% Small, 43% Medium

#### What Do G2 Reviewers Say About OWOX?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of OWOX, highlighting its quick setup and intuitive interface.
- Users value the **excellent support team** at OWOX, appreciating their flexibility and commitment to solving problems.
- Users value OWOX for its **data ownership and flexibility** , enabling efficient management and utilization of business data.
- Users value the **excellent customer support** from OWOX, noting their responsiveness and helpful assistance throughout the process.
- Users value the **easy-to-use analytics** of OWOX, enabling effective tracking and improved advertising insights.

##### Cons

- Users report **data management issues** with OWOX, including bugs and unreliable scheduling that affect data accuracy.
- Users face **error handling issues** , requiring dedicated troubleshooting to unearth fundamental data errors and ensure reliability.
- The **expensive pricing** structure for hourly schedules limits accessibility, despite overall satisfaction with the product's functionality.
- Users find the **integration issues** with custom external services a barrier to achieving optimal functionality.
- Users desire **more detailed instructions** and features like reliability in scheduling and data updates in OWOX.

#### What Are Recent G2 Reviews of OWOX?

**["Nice team and Tracking & Attribution Solution"](https://www.g2.com/survey_responses/owox-review-9851467)**

**Rating:** 4.5/5.0 stars

_— Serhii K._

[Read full review](https://www.g2.com/survey_responses/owox-review-9851467)

**["Simple and helpful"](https://www.g2.com/survey_responses/owox-review-9843178)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/owox-review-9843178)

#### What Are G2 Users Discussing About OWOX?

- [What is OWOX BI used for?](https://www.g2.com/discussions/what-is-owox-bi-used-for) - 1 comment

### [Omni Analytics](https://www.g2.com/products/omni-analytics-inc-omni-analytics/reviews)

Omni is a business intelligence and embedded analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using SQL, spreadsheets, AI, or point-and-click interfaces. It is built on a semantic layer that ensures every insight is accurate and dependable. Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to their customers. We build our product fast and in the open, with new features releasing every week. You can follow along by watching our public engineering demos at: omni.co/demos To learn more about how companies like BuzzFeed use Omni, check out: omni.co/customer-case-studies

**Average Rating:** 4.8/5.0

**Total Reviews:** 65

#### How Do G2 Users Rate Omni Analytics?

- **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.9/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Omni Analytics?

- **Seller:** [Omni Analytics, Inc](https://www.g2.com/sellers/omni-analytics-inc)
- **Company Website:** omni.co
- **Year Founded:** 2022
- **HQ Location:** San Francisco, CA
- **Twitter:** @omni  
4,282 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5a1d0b9a67302ef02d58805128e1dce334d4c9d20d2b9248bce8523c0abf37a5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fexploreomni%2F&secure%5Burl_type%5D=linkedin_company_website)  
805 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 42% Small, 42% Medium

#### What Do G2 Reviewers Say About Omni Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **ease of use** of Omni Analytics, appreciating its seamless integrations and powerful data handling capabilities.
- Users highlight the **consistent and helpful customer support** from Omni, enhancing their overall experience with the product.
- Users praise the **easy integrations** with the modern data stack, streamlining connections for a seamless experience.
- Users praise the **innovative AI features** of Omni Analytics, enhancing functionality and streamlining data insights efficiently.
- Users value the **ease of data exploration and robust dashboard creation** with Omni Analytics, enhancing their analytics experience significantly.

##### Cons

- Users note **missing features** like robust IntelliSense and advanced organizational tools, impacting overall usability.
- Users note a **learning curve** with Omni Analytics, particularly due to lagging documentation and feature updates.
- Users note **limited features** in Omni Analytics, recognizing potential but desiring greater parity with established tools.
- Users find **complex data modeling** challenging, citing hidden features and instability in dashboards impacting usability.
- Users find the **difficult setup** of topics in Omni Analytics to be the most challenging aspect of the product.

#### What Are Recent G2 Reviews of Omni Analytics?

**["Easy, Actionable Insights That Deepen Our Understanding of Company Performance"](https://www.g2.com/survey_responses/omni-analytics-review-12607647)**

**Rating:** 5.0/5.0 stars

_— Daryl W._

[Read full review](https://www.g2.com/survey_responses/omni-analytics-review-12607647)

**["Omni Packs Essential Features with an Intuitive UI and Standout AI Charts"](https://www.g2.com/survey_responses/omni-analytics-review-12583000)**

**Rating:** 4.5/5.0 stars

_— Rohit S._

[Read full review](https://www.g2.com/survey_responses/omni-analytics-review-12583000)

### [Toucan](https://www.g2.com/products/toucan/reviews)

Toucan is an AI-embedded analytics platform designed to assist independent software vendors (ISVs) and SaaS companies in integrating advanced analytics features directly into their products, eliminating the need for building these capabilities from the ground up. This platform is tailored specifically for customer-facing applications, meaning that the end users are the clients of these companies rather than internal analysts. By enabling product and operations teams to configure and deploy analytics features independently, Toucan streamlines the development process and reduces reliance on data engineering resources. The target audience for Toucan primarily includes ISVs and SaaS companies across various industries, such as fintech, HR tech, and marketing technology. These organizations often seek to enhance their product offerings with sophisticated analytics capabilities that provide value to their users. With Toucan, product teams can quickly implement features that allow end users to interact with data in meaningful ways. This is particularly beneficial for companies looking to differentiate themselves in competitive markets by offering robust analytics without the lengthy development cycles typically associated with such features. Toucan's key capabilities include conversational AI analytics, which empowers end users to pose questions in natural language and receive instant data visualizations. This feature is anchored in a governed semantic layer, ensuring that the insights provided are consistent and reliable. Additionally, the platform offers automatic dashboard generation through AI, allowing users to customize layouts, colors, and metrics without requiring technical expertise. The white-label, multi-tenant embedding options ensure that analytics seamlessly integrate into existing products, creating a native experience for users. Security and compliance are paramount in today's data-driven landscape, and Toucan addresses these concerns with row-level security and granular permissions. This ensures that each end user only accesses their specific data, making it suitable for regulated industries where data privacy is critical. Furthermore, Toucan supports connections to modern data infrastructures, such as PostgreSQL, MySQL, and AWS Redshift, and offers both SaaS and self-hosted deployment options to meet various organizational needs. The platform's no-code builder is a standout feature, enabling product and operations teams to create, edit, and publish dashboards without any coding knowledge. This capability significantly reduces dashboard development time—by up to two-thirds compared to traditional in-house builds—allowing ISVs to launch reporting modules in days instead of months. By embedding analytics as a premium feature, organizations can also create new revenue streams, enhancing their overall product value while minimizing additional development overhead. With over 350 clients already leveraging its capabilities, Toucan is positioned as a powerful solution for companies looking to enhance their analytics offerings.

**Average Rating:** 4.7/5.0

**Total Reviews:** 179

#### How Do G2 Users Rate Toucan?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.5/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Toucan?

- **Seller:** [Toucan Toco](https://www.g2.com/sellers/toucan-toco)
- **Year Founded:** 2015
- **HQ Location:** Boston, Massachusetts
- **Twitter:** @Toucan\_Toco  
2,402 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=651fc0c2986af5f252328b3c75b69e617a4b2297eed2d704932c8b10a3b9c5b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3661933%2F&secure%5Burl_type%5D=linkedin_company_website)  
76 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst
- **Top Industries:** Computer Software, Banking
- **Company Size:** 43% Small, 30% Medium

#### What Do G2 Reviewers Say About Toucan?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Toucan, praising its intuitive interface and seamless integration capabilities.
- Users benefit from **easy integrations** with various data sources, enhancing their analytical capabilities seamlessly.
- Users appreciate the **intuitive data visualizations** of Toucan, making it easy for everyone to create insights effortlessly.
- Users value the **seamless integrations** of Toucan, effectively connecting diverse data sources for insightful dashboard creations.
- Users appreciate the **no-code dashboard creation** in Toucan, enhancing accessibility and integration capabilities for effective data visualization.

##### Cons

- Users find the **UI complexity** of Toucan challenging, especially for new users trying to navigate the tool.
- Users often find the **complex usage** of Toucan challenging, especially when trying to navigate its features independently.
- Users find the **learning curve steep** for Toucan, citing navigation difficulties and the complex UI for newcomers.
- Users note the **limited customization** options in Toucan, which sometimes restrict their desired data presentation flexibility.
- Users face **occasional bugs** in Toucan that lead to higher maintenance costs and additional learning for technical development.

#### What Are Recent G2 Reviews of Toucan?

**["The game-changer to turn our data into actionable insights"](https://www.g2.com/survey_responses/toucan-review-10931373)**

**Rating:** 5.0/5.0 stars

_— Robin C._

[Read full review](https://www.g2.com/survey_responses/toucan-review-10931373)

**["An Amazing Tool For Embedded Business Intelligence"](https://www.g2.com/survey_responses/toucan-review-12302095)**

**Rating:** 4.5/5.0 stars

_— Felice C._

[Read full review](https://www.g2.com/survey_responses/toucan-review-12302095)

#### What Are G2 Users Discussing About Toucan?

- [What is Toucan used for?](https://www.g2.com/discussions/what-is-toucan-used-for)

### [SAS Augmented Analytics & Business Intelligence](https://www.g2.com/products/sas-augmented-analytics-business-intelligence/reviews)

SAS offers an integrated, robust and flexible presentation layer for the full breadth of SAS Analytics capabilities

**Average Rating:** 4.3/5.0

**Total Reviews:** 68

#### How Do G2 Users Rate SAS Augmented Analytics & Business Intelligence?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.8/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAS Augmented Analytics & Business Intelligence?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®
- **Phone:** 1-800-727-0025

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Banking
- **Company Size:** 60% Large, 24% Medium

#### What Are Recent G2 Reviews of SAS Augmented Analytics & Business Intelligence?

**["SAS BI - APAC LOGISTICS LEADER"](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9106524)**

**Rating:** 4.5/5.0 stars

_— Sathish A._

[Read full review](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9106524)

**["Invulnerable From Conclusion to Conclusion The extreme announcing arrangement for SAP Trade Insights"](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9026320)**

**Rating:** 4.0/5.0 stars

_— Akash S._

[Read full review](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9026320)

#### What Are G2 Users Discussing About SAS Augmented Analytics & Business Intelligence?

- [How much does SAS cost?](https://www.g2.com/discussions/how-much-does-sas-cost)
- [What does SAS software do?](https://www.g2.com/discussions/what-does-sas-software-do)
- [What does the SAS Intelligence Platform contain?](https://www.g2.com/discussions/what-does-the-sas-intelligence-platform-contain)
- [What is SAS Business Intelligence?](https://www.g2.com/discussions/what-is-sas-business-intelligence) - 2 comments

### [Business Pulse](https://www.g2.com/products/business-pulse/reviews)

Business Pulse, Chat based business intelligence platform Features: 1. Natural  Language Data Chat: Ask questions in plain English, no SQL or technical skills required. 2. Trainable, Context-Aware AI: Tailor the platform to your business by defining KPIs, domain-specific terms, and validation rules. Responses can be customized per team, and the AI improves over time through feedback. 3. Transparent, Self-Service Analytics: Empower teams, founders, marketers, product managers, ops to explore data independently, fostering data-driven decision-making across the business. 4. Exportable Insights: Convert AI-generated answers into charts, spreadsheets, or reports, perfect for meetings, reviews, or presentations. 5. Customizable Onboarding & Setup: Whether you need a fully managed solution or need assistance designing a data warehouse and semantic layer, tailored onboarding is available. 6. Secure, Compliant Data Handling: Data remains within your cloud infrastructure. Business Pulse connects securely to your semantic layer without moving data, and supports enterprise-grade security including encryption, access control, monitoring, and SOC 2 compliance in progress. 7. Wide Data Source Support: Integrates with major cloud data warehouses (BigQuery, Snowflake, Redshift) and relational databases (PostgreSQL, MySQL, SQL Server), with custom connectors available at no extra cost. Benefits: 1. Quick Business Insights for Everyone: Teams get answers in seconds, just by chatting. No BI training, dashboards, or technical barriers. 2. Faster, Smarter Decisions: Real-time access to trusted insights means faster pivots, better forecasting, and more confident choices. 3. Save Data Team Resources: Reduce the volume of ad hoc reporting requests and empower data teams to focus on high-leverage work. 4. Customizable to Fit Any Business: Define your own metrics, filters, and governance controls to ensure insights reflect how your business runs. 5. Enterprise-Ready from Day One: Built with compliance, scalability, and security in mind for organizations of any size Who Is It for? 1. Business Decision-Makers: Founders, executives, department heads needing instant answers to business questions 2. Non-Technical Teams: Marketing, product, operations, customer success, HR, and finance teams that rely on insights but don’t use BI tools 3. Data Analysts & Engineers: Looking to scale impact by enabling self-service across the org, without sacrificing governance 4. Consultants & Agencies: Deliver client-facing insights faster and with less manual effort 5. Enterprise IT & BI Teams: Wanting a secure, compliant conversational layer on top of existing infrastructure

**Average Rating:** 4.9/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Business Pulse?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.5/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.1/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Business Pulse?

- **Seller:** [Venture AI](https://www.g2.com/sellers/venture-ai)
- **Year Founded:** 2023
- **HQ Location:** Austin, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bca48d29420de9e8ccc06376baa22f5e33236fe4924255a4999ebb8cf72764ab&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fventureaicorp&secure%5Burl_type%5D=linkedin_company_website)  
33 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Do G2 Reviewers Say About Business Pulse?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **instant data insights** from Business Pulse, enhancing decision-making and overall operational efficiency.
- Users appreciate the **ease of use** of Business Pulse, quickly receiving clear insights through simple, everyday questions.
- Users appreciate the **speed of insights** from Business Pulse, receiving instant answers that enhance decision-making efficiency.
- Users value the **seamless integration of data** , allowing for quick, actionable insights within a single platform.
- Users appreciate the **ease of understanding** with Business Pulse, effortlessly accessing clear insights and data quickly.

##### Cons

- Users find a steep **learning curve** when formulating complex questions effectively within Business Pulse.
- Users feel a need for more **customization options** in results display, particularly for team-wide reporting needs.
- Users suggest that **pricing issues** could be improved for a better overall experience with Business Pulse.

#### What Are Recent G2 Reviews of Business Pulse?

**["Our IT Company’s Trusted AI Partner"](https://www.g2.com/survey_responses/business-pulse-review-11598936)**

**Rating:** 5.0/5.0 stars

_— Sheri L._

[Read full review](https://www.g2.com/survey_responses/business-pulse-review-11598936)

**["A must-have tool for RevOps visibility and efficiency"](https://www.g2.com/survey_responses/business-pulse-review-11673579)**

**Rating:** 5.0/5.0 stars

_— Dylan W._

[Read full review](https://www.g2.com/survey_responses/business-pulse-review-11673579)

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Similar Categories

- [Agentic Analytics](/categories/agentic-analytics)
- [AI Search and Discovery Platforms](/categories/ai-search-and-discovery-platforms)
- [Business Intelligence](/categories/business-intelligence)
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- [Drone Analytics](/categories/drone-analytics)

- [Enterprise Search Software](/categories/enterprise-search-software)
- [Graph Visualization Tools](/categories/graph-visualization-tools)
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[Browse Analytics Platforms Themes](/categories/analytics-platforms/themes)

 ![Tian Lin](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Tian Lin")
TL

Researched and written by [Tian Lin](https://research.g2.com/insights/author/tian-lin)

Updated 

Products classified in the overall Analytics Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Analytics Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Analytics Platforms category.

In addition to qualifying for inclusion in the Analytics Platforms category, to qualify for inclusion in the Small Business Analytics Platforms category, a product must have at least 10 reviews left by a reviewer from a small business.

Show More

* * *

## How Do You Choose the Right Analytics Platforms?

### What You Should Know About Analytics Platforms

### What are analytics software platforms?

Analytics platforms, also known as business intelligence (BI) platforms, enable companies to gain visibility into their data through data integration, cleansing, blending, enrichment, discovery, and more. These tools are robust systems that sometimes require IT and data science skills to access and decipher company data through custom queries. 

Analytics platforms offer a comprehensive look into a company’s data by pulling from structured and unstructured data sources through detailed queries. Casual business users also benefit from analytics platforms, which offer customizable dashboards and the ability to drill into particular data points and trends.

### What types of analytics tools and platforms exist?

#### **All-in-one software**

##### **Self-service analytics platforms**

Self-service analytics platforms do not require coding knowledge, so business end users can use them for data needs. Cloud-based business analytics software often provides drag-and-drop functionality for building dashboards, prebuilt templates for querying data, and, occasionally, natural language querying for data discovery. 

##### **Embedded BI software**

Embedded BI software can integrate proprietary analytics functionality within other business applications. Businesses may choose an embedded product to promote user adoption; by placing the analytics inside regularly used software, companies enable employees to take advantage of available data. These solutions provide self-service functionality so average business end users can use data for improved decision-making.

#### **Point solutions**

##### **Root cause analysis**

Companies of all sizes produce vast amounts of data from a host of different sources. It can be difficult to keep track of the ebbs and flows of data and to spot outliers and trends across tens if not hundreds (sometimes even thousands) of data sources. Some solutions provide the user with a bird' s-eye view of their data and intelligently alert them to changes in real time. Once alerted, they are able to dive in to evaluate the situation and solve it.

### What are the common features of analytics solutions?

Analytics software platforms are a great aid to any organization needing timely data visualization of high-level analytics. The following are some core features within analytics platforms that can help users make the most of them:

**Data preparation:**  Although standalone [data preparation software](https://www.g2.com/categories/data-preparation) exists that assists in discovering, blending, combining, cleansing, and enriching data—so large datasets can be easily integrated, consumed, and analyzed—analytics platforms must incorporate these functionalities into their core offering. In particular, analytics platforms must support data blending and modeling, allowing the end user to combine data across different databases and other data sources and to develop robust data models of this data. This is a critical step in making meaning out of the chaos by combining data from various sources.

**Data management:** Once the data is properly integrated, it must be managed. This includes restricting data access to certain users, for example. Although some companies opt for a standalone data management solution, such as a data warehouse, analytics platforms must, by definition, provide some level of data management.

**Data modeling and blending:** As mentioned, it is not efficient and often not effective to examine data when it is sprawled across many systems. As a business cloud, analytics platforms help businesses consolidate data and combine data points to understand the relationship between data and derive deep insights.

**Reports and dashboards:** Multilayered, real-time dashboards are a central feature of analytics platforms. Users can program their analytics software to display metrics of their choice and create multiple dashboards that show analytics related to specific teams or initiatives. From predictive website traffic analytics to customer conversion rates over a specified period, users can choose their preferred metrics to feature in dashboards and create as many dashboards as necessary. 

Administrators can adjust the permissions of different dashboards so they are accessible to the users in the company who need them the most. Users can share specific dashboards on office monitors or take screengrabs of dashboards to save and share as needed. Some analytics platform products may allow users to explore dashboards on their mobile devices.

[**Self service**](https://www.g2.com/categories/analytics-platforms/f/self-service) **:** Organizations use these tools to build interactive dashboards for discovering actionable insights. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data.

**Advanced analytics:** Many analytics solutions are incorporating advanced features, sometimes called augmented analytics, to better understand a business’s data, even without IT support. These can include predictive analytics capabilities and data discovery, which includes intelligent suggestions for data visualization and machine learning-powered suggestions for deeper insights.

Other features include [Anomaly detection](https://www.g2.com/categories/analytics-platforms/f/anomaly-detection), [Query based](https://www.g2.com/categories/analytics-platforms/f/query-based), [Search](https://www.g2.com/categories/analytics-platforms/f/search), [Traditional](https://www.g2.com/categories/analytics-platforms/f/traditional)

### What are the benefits of using analytics platforms?

**Replace old or disparate software:** Businesses can replace outdated data storage solutions and reporting tools and migrate to an all-inclusive business cloud as an analytics platform. However, data migration is not essential for deploying an analytics solution, as businesses may not have the time or resources to do so. Therefore, it should be noted that these platforms can integrate with a whole host of solutions, such as [enterprise resource planning (ERP)](https://www.g2.com/categories/erp-systems) and [customer relationship management (CRM) software](https://www.g2.com/categories/crm).

**Improve productivity:** The days of sorting through tens, if not hundreds, of systems and needing immense support from IT have passed. With analytics platforms (especially those that are self-service and have features such as natural language search), anyone looking for data and data analysis, including average business users, can derive insights from their data.

**Save time (automation):** For most analytics platforms, users no longer need a strong background in query languages. Instead, data discovery and root cause analysis allow users to automatically receive alerts and insights into their data and get notified if the data has changed meaningfully.

**Reduce errors:** Although standalone data preparation tools may be the right solution for businesses with particularly complex data, analytics platforms allow users to clean and prepare their data through data mapping and deduplication methods.

**Consolidate data:** In this data-driven era, essentially every program and device a business has produces massive data. To understand this diverse data in the best way possible, combining it through methods such as data blending, which allows users to integrate data from multiple sources into a functioning dataset, is often necessary.

**Improve processes:** Without an analytics platform to be used across a business, processes can be slow and inefficient as interested parties seek data from disparate sources and request data from various people. Analytics platforms can help a business user quickly access data and data analysis and share it with internal and external stakeholders.

### **Who uses analytics tools?**

Analytics platforms can have both internal and external users. 

#### **Internal users**

**Data analysts and data scientists:** These employees are generally the power users of analytics tools, creating complex queries inside the platforms to gather a deeper understanding of business-critical data. These teams may also be tasked with building self-service dashboards to distribute to other teams.

**Sales teams:** Sales teams use self-service analytics tools and embedded analytics solutions to obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue.

**Marketing teams:** Marketing teams often run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns. Analytics tools allow marketing teams to track the performance of those campaigns in one central location.

**Finance teams:** Finance teams leverage analytics software to gain insight into the factors impacting an organization's bottom line. By integrating financial data with sales, marketing, and other operations data, accounting and finance teams pull actionable insights that might not have been uncovered using traditional tools.

**Operations and supply chain teams:** Analytics solutions often utilize a company's ERP system as a data source. These applications track everything from accounting to supply chain and distribution; supply chain managers can optimize several processes to save time and resources by inputting supply chain data into an analytics platform. 

#### **External users**

**Consultants:** Businesses, especially larger ones, do not always understand the breadth and depth of their data, perhaps not even knowing where to begin. An external consultant wielding a powerful analytics platform can help businesses better understand their data and, as a result, make more informed business decisions. 

Users may consider contacting [BI consulting partners](https://www.g2.com/categories/business-intelligence-bi-consulting) to help determine the most relevant analytics and data to capture about their company’s overall success. Following a proper consultation, these agencies may offer assistance with setting up or choosing BI tools. A number of these agencies can assist businesses with the entire BI process, from complete data analysis to the shaping of processes or protocols related to data collection. A relationship with these consultants can prove highly beneficial for users who have never performed data analysis before or want to optimize their company’s reporting.

**Partners:** Partnerships between companies often involve data sharing and cross-company collaboration. As a result, a centralized repository of data, which would allow for data management, data querying, and data insights, can provide an essential tool for these businesses to succeed together, providing them with a birds-eye view of their data.

### **What are the alternatives to analytics platforms?**

Alternatives to analytics platforms can replace this type of software, either partially or completely:

[**Marketing analytics software**](https://www.g2.com/categories/marketing-analytics) **:** Businesses looking for tools geared toward marketing use cases and marketing data (e.g., related to targeting prospects) should look at marketing analytics solutions that are purpose-built for this.

[**Sales analytics software**](https://www.g2.com/categories/sales-analytics) **:** Although sales data such as revenue forecasts and closed deals can be imported and analyzed in general-purpose analytics platforms, sales analytics platforms can provide a more granular analysis of sales-related data and might have better integrations with sales tools such as CRMs. 

[**Log analysis software**](https://www.g2.com/categories/log-analysis) **:**  If a business wants to focus on analyzing its log data from applications and systems, it could benefit from log analysis software, which helps enable the documentation of application log files for records and analytics.

[**Predictive analytics software**](https://www.g2.com/categories/predictive-analytics) **:** Broad-purpose analytics platforms allow businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Since analytics platforms allow for these different types of analyses, they might not provide the most robust features for any type. Therefore, businesses focused on looking at past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution. 

[**Text analysis software**](https://www.g2.com/categories/text-analysis) **:** Analytics platforms are focused on structured or numerical data, allowing users to drill down and dig into numbers to inform business decisions. Text analysis solutions are the best bet if the user is looking to focus on unstructured or text data. These tools help users quickly understand and pull sentiment analysis, key phrases, themes, and other insights from unstructured text data.

[**Data visualization software**](https://www.g2.com/categories/data-visualization) **:** Data visualization tools can be an excellent place for businesses to start when looking to better understand their data. With capabilities including dashboards and reporting, data visualization software can often be quick and easy to set up and is frequently cheaper than more robust analytics platforms. 

However, it is essential to recognize their limitations. Data visualization solutions do what they say on the box: visualization. They do not give the user an end-to-end analytics solution from data preparation to data insights, nor do they provide significant data management capabilities.

### **Software and services related to analytics platforms**

Related solutions that can be used together with analytics platforms include:

[**Embedded business intelligence software**](https://www.g2.com/categories/embedded-business-intelligence) **:** Analytics platforms are standalone platforms that help companies analyze data. Businesses who want to build analytics capabilities into applications, whether that be for internal or external use, can use embedded BI software to accomplish this goal.

[**Database software**](https://www.g2.com/categories/database-software) **:** There are a plethora of solutions for storing, organizing, and sharing large amounts of data that can later be accessed and analyzed by analytics tools. Database software includes everything from [big data software](https://www.g2.com/categories/big-data) to traditional table-based [relational databases](https://www.g2.com/categories/relational-databases). Businesses should research and implement whichever database tools make the most sense for their particular data types or analytical needs. 

When considering an analytics solution, users should investigate which databases can integrate with the tool to make the most logical product choice for their situation. Analytics products would not serve much purpose without one or more company databases to pull data from when the time comes.

### Challenges with analytics platforms

**Configuration:** Analytics solutions may have a highly technical setup process, requiring IT or developmental expertise. When trying to implement one of these platforms without an in-house data scientist or IT professional, users may struggle with getting the technology off the ground, integrating it with the appropriate solutions, and creating queries for data collection. This could mean a significant loss of resources and an inability to use the tool as intended. Users can contact BI consulting providers for assistance setting up a program or, in some cases, for handling the entirety of BI reporting.

**Overreliance:** Focusing too much on data and analytics can also be problematic. Data-driven decisions are critical to a business’s success, but data-only decisions ignore the various voices from within and without the organization. Successful companies combine rigorous analytics with anecdotal storytelling and thoughtful conversations about the business's success and components.

**Integrations:** If the analytics tool does not fully integrate with existing software, getting a complete view of a business’s operational performance becomes challenging. Similarly, if an integration experiences a communication error or other issue during a data query, it causes an incorrect or incomplete reading. Users should make a point to monitor these connections and any potential performance issues throughout their software stack to ensure that correct, complete, and up-to-date information is being processed and displayed on dashboards.

**Data security:** Companies must consider security options to ensure the right users see the correct data and guarantee strict data security. Effective analytics solutions should offer security options that enable administrators to assign verified users different levels of access to the platform based on their security clearance or level of seniority.

### How to choose the best analytics tools

#### Requirements Gathering (RFI/RFP) for Analytics Platforms

If a company is just starting and looking to purchase the first analytics platform, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best analytics platform.

The particular business pain points might be related to all the manual work that must be completed. If the company has amassed a lot of data, it needs to look for a solution that can grow with the organization. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees needing this software, as this drives the number of licenses they will likely buy.

Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist is a detailed guide with necessary and nice-to-have features, including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more.

Depending on the deployment scope, producing an RFI, a one-page list with a few bullet points describing what is needed from an analytics platform might be helpful.

#### Compare Analytics Platforms Products

**Create a long list**

From meeting the business functionality needs to implementation, vendor evaluations are essential to the software buying process. For ease of comparison, after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.

**Create a short list**

From the long list of vendors, it is helpful to narrow the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list, businesses can produce a matrix to compare the features and pricing of the various solutions.

**Conduct demos**

To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. 

#### Selection of analytics platforms

**Choose a selection team**

Before getting started, creating a winning team that will work together throughout the process, from identifying pain points to implementation, is crucial. The software selection team should consist of organization members with the right interests, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the primary decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. The vendor selection team may be more minor in smaller companies, with fewer participants, multitasking, and taking on more responsibilities.

**Analyze the data**

As analytics platforms are all about the data, the user must ensure that the selection process is also data-driven. The selection team should compare notes and facts and figures that they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities.

**Negotiation**

Just because something is written on a company’s pricing page does not mean it is gospel (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to discount multiyear contracts or recommend the product to others.

**Final decision**

After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and received, the buyer can be confident that the selection was correct. If not, it might be time to return to the drawing board.

### How much do analytics software platforms cost?

As mentioned above, analytics platforms come as both on-premises and cloud solutions. Pricing between the two might differ, with the former often coming with more upfront costs for setting up the infrastructure. 

As with any software, analytics platforms are frequently available in different tiers, with the more entry-level solutions costing less than the enterprise-scale ones. The former will often not have as many features and may have caps on usage. Vendors may have tiered pricing, in which the price is tailored to the users’ company size, the number of users, or both. This pricing strategy may come with some support, which might be unlimited or capped at a certain number of hours per billing cycle.

Once set up, analytics platforms, especially those deployed in the cloud, do not often require significant maintenance costs.

As these platforms often come with many additional features, businesses looking to maximize the value of their software can contract third-party consultants to help them derive insights from their data and get the most out of the software.

#### Return on Investment (ROI)

Businesses deploy analytics platforms to derive a return on investment (ROI). As they are looking to recoup the losses they spent on the software, it is critical to understand its costs. As mentioned above, analytics platforms are typically billed per user, sometimes tiered, depending on the company size. More users will generally translate into more licenses, which means more money.

Users must consider how much is spent and compare that to what is gained in terms of efficiency and revenue. Therefore, businesses can compare processes between pre- and post-deployment software to understand better how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from using an analytics tool.

### Implementation of analytics software solutions

**How are analytics software Implemented?**

Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether an implementation specialist from the vendor or a third-party consultancy. With vast experience under their belts, they can help businesses understand how to connect and consolidate their data sources and use the software efficiently and effectively.

**Who is responsible for analytics platform implementation?**

Properly deploying an analytics platform may require many people or teams. This is because, as mentioned, data can cut across teams and functions. As a result, one person or even one team rarely has a complete understanding of all of a company’s data assets. With a cross-functional team, a business can begin to piece together its data and begin the analytics journey, starting with proper data preparation and management.

### Emerging trends related to analytics platforms

**Increase data accessibility**

Business data is no longer locked up in silos. With analytics platforms, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) tools](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data more accessible and powerful, providing more accurate results.

With the amount of data accessible to businesses today, it is a near necessity that they implement some type of analytics software to understand and act on that data better. Implementing analytics software has been a significant initiative for companies undergoing digital transformation, as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large datasets collected from various sources.

**Shift from on-premises to cloud**

The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons, such as time to insight. Moving away from on-premises infrastructure has helped many companies enable data work anywhere one has access to the cloud—anywhere with internet access. However, not all data users have the luxury of working in the cloud for several reasons, including data security and issues related to latency. In industries such as health care, strict regulations such as the [Health Insurance Portability and Accountability Act (HIPAA)](https://learn.g2.com/health-insurance-portability-and-accountability-act) require data to be secure. Although it is possible to ensure this security in the cloud, it can be more complicated.

**Conversational AI**

Historically, to query data within an analytics solution, users needed to master a query language like SQL. With the rise of conversational interfaces, users uncover the data and insights they seek using intuitive language. Intuitive methods of querying data enable a larger user base to access and make sense of company data.

**Machine learning**

AI is quickly becoming a promising feature of analytics solutions throughout the data journey, from ingestion to insights. From AI-powered data preparation to smart insights, in which the platform suggests visualizations to the end user, analytics platforms are quickly becoming more powerful. Machine learning is helping end users discover hidden insights, allowing them to make sense of data and understand what they are seeing.

### Analytics Platforms FAQs

#### **Which analytics platforms have an intuitive UI that non-technical users adopt without extensive training?**

I looked for analytics platforms that make it easy to find what you need also enable easy collaboration.

- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Has a drag-and-drop chart building without SQL or code that makes it user-friendly. Users can connect Excel, SharePoint, and emails without technical help. 
- [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can create dashboards with limited use and no deep technical background. Onboarding is as simple as sharing the links and giving the right access.
- [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Spreadsheet-like UI provides the most distinctive non-technical adoption story. Users can pull in data and work with it in complicated ways that don't require coding.
- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer approach means business users interact with pre-defined, plain-language metrics rather than raw tables or SQL, which is the foundational mechanism for non-technical adoption. 

#### **What are the best analytics platforms for business teams accessing insights without SQL or data science skills?**

SQL-free access means business users can explore, filter, and create their own views without analyst dependency. 

- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Non-technical users can build powerful dashboards quickly without SQL. Power BI's Power Query Editor handles data transformations through button clicks. The DAX layer exists for advanced users but is not required for standard self-service reporting.
- [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Sigma's specific differentiator for SQL-free access is its spreadsheet-like interface on live warehouse data. For teams already on Snowflake or cloud warehouses, Sigma eliminates the SQL barrier entirely at the analysis layer.
- [Domo](https://www.g2.com/products/domo/reviews) **:** The no-code platform is easy to use for non-technical teams. Users can apply filtering and date range changes without any coding. The 1000+ connector ecosystem means data arrives automatically, so business users interact with dashboards rather than queries. 
- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic model defines metrics in plain language; business users query pre-built dimensions and measures without writing a single line of SQL. 

#### **Which analytics platforms support collaborative dashboards, annotations, and mobile access for on-the-go insights?**

I looked for tools with collaborative analytics, shared dashboards, in-platform discussion, annotations, and mobile-ready access.

- [Domo](https://www.g2.com/products/domo/reviews) **:** Sales teams can access data and contacts in real-time on their phones. Has platform-native discussion, report sharing, and insight annotation as part of the daily workflow. 
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Web and mobile access are daily-use features. The platform enables collaboration so everyone can see the same report at the same time, updated in real time.
- [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews) **:** Designed around collaborative BI with built-in story, annotation, and broadcast features for sharing insights with business audiences. 
- [Looker](https://www.g2.com/products/looker/reviews) **:** Comes with scheduled report delivery, so automated weekly numbers land in inboxes without anyone manually running anything. Email reports and metric notifications can be set up as daily workflow features. 

#### **Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration?**

Fast ad-hoc exploration means users can drill down, pivot, and filter without waiting and without writing a new query every time.

- [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can drill down on data without writing queries. Extracted datasets perform significantly better for ad-hoc work.
- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer so ad-hoc queries against massive datasets return fast without full table scans. 
- [Incorta](https://www.g2.com/products/incorta/reviews) **:** Its direct data mapping approach eliminates the aggregation layer that slows most BI platforms during ad-hoc queries. For organizations where query latency on complex, multi-source datasets is the primary pain, Incorta is a good choice.
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Provides intuitive filtering across countries, teams, and time periods within existing dashboards without analyst involvement. The Direct Lake connection mode specifically reduces ad-hoc query latency.

#### **Which analytics solutions integrate with Snowflake, BigQuery, and Redshift seamlessly?**

Native, live connections to modern data warehouses — where queries run in the warehouse rather than in the BI tool are what seamless integration actually means for data teams.

- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Integration with Active Directory, SharePoint, and the Microsoft Fabric ecosystem is described as genuinely seamless for organizations already in the Microsoft stack.
- [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Built to run directly on Snowflake (and BigQuery/Redshift) without extracting data. The architecture means live warehouse queries are the default mode, not an optional feature.
- [Databricks](https://www.g2.com/products/databricks/reviews) **:** It is the warehouse-layer itself for many organizations, not a BI tool connecting to a warehouse, which means integration is inherently native. For organizations that treat Databricks as the processing layer and BI tools as the visualization layer on top, Databricks' own analytics features (via SQL Warehouses and notebooks) eliminate the need for a separate integration layer.
- [Looker](https://www.g2.com/products/looker/reviews) **:** BigQuery is the most-named data warehouse in Looker's review base. LookML's push-down SQL architecture means all queries run in the warehouse (Snowflake, BigQuery, Redshift) rather than being extracted into Looker.

#### **Which analytics solutions come with robust caching and performance optimization to maintain fast speeds at scale?**

Caching and performance optimization matter when datasets are large, dashboards are complex, and business users can't wait for queries to resolve.

- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer specifically to make large dataset queries fast. For organizations where query latency on multi-billion row datasets is the blocking problem, Kyvos is the most purpose-built and best-validated option in the category on these dimensions.
- [Databricks](https://www.g2.com/products/databricks/reviews) **:** Photon engine, Delta Lake caching, and auto-scaling compute architecture are the performance mechanisms at scale. 
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Row Level Security, Premium capacity, and aggregation tables are the scale optimization toolkit. Performance at scale in Power BI is achievable but requires deliberate architecture, not automatic.
- [Incorta](https://www.g2.com/products/incorta/reviews) **:** Direct data mapping eliminates the pre-aggregation step that creates scale bottlenecks in most BI tools, allowing ad-hoc queries against large transactional datasets to run without a separate aggregation cache. 

#### **Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation?**

I looked for analytics platforms with strong data governance features. 

- [Looker](https://www.g2.com/products/looker/reviews) **:** LookML governance, real-time data access, and seamless integration with modern data warehouses together create the governed analytics environment enterprises need to prevent metric drift across teams.
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Addresses governance through Row Level Security, workspace permissions, and certified datasets, which restrict what data individual users can see and prevent unauthorized metric redefinition.
- [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** It defines metrics once at the semantic model level and enforces those definitions for every downstream query and dashboard. 
- [Tableau](https://www.g2.com/products/tableau/reviews) **:** Governance approach is built around Tableau Server and Tableau Cloud — where published data sources become the certified metric layer that individual report builders consume rather than create.