# Best Analytics Platforms - 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=29364&focus%5B%5D=1213&focus%5B%5D=10470&focus%5B%5D=1327283&focus%5B%5D=989&focus%5B%5D=604&focus%5B%5D=5048&focus%5B%5D=27024)

Highlighted products: Microsoft Power BI, Tableau, Databricks, SAS Viya, Alteryx, Domo, Looker, and Kyvos Semantic Layer.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=tableau&focus%5B%5D=databricks&focus%5B%5D=sas-sas-viya&focus%5B%5D=alteryx&focus%5B%5D=domo&focus%5B%5D=looker&focus%5B%5D=kyvos-semantic-layer&segment=all)

**Sponsored**

### Looker

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.

[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=2026-08-01T08%3A32%3A32Z&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=5048&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%3Fattributes%255B110%255D%3Dall%26page%3D3%26segment%3Dall%26selected_view%3Dgrid&secure%5Btoken%5D=d63ad02d86cf0fd78732362df25b6d2b72a5da3acd3ba9ae14d89fcd23da44df&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Flooker%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-looker%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url)

### [datapine](https://www.g2.com/products/rib-software-datapine/reviews)

datapine is a business intelligence & dashboarding platform that is focused on self-service, but also offers advanced analytics features such as predictive analytics or intelligent data alerts based on artificial intelligence and machine learning. With a few clicks, datapine integrates dozens of data sources such as databases, flat files, marketing analytics, social media data, CRM, and ERP data as well as helpdesk data. Thanks to an intuitive user interface, users of all skill levels can visualize and make sense of complex data by asking important questions and receiving answers immediately. The core of the product are dynamic, interactive business dashboards, that help to share insights within the organization effectively. datapine enables managers to data scientists to explore, visualize, analyze and report data in one central analytics platform and empowers modern, KPI driven businesses to grow further. datapine is a RIB Software GmbH solution.

**Average Rating:** 4.6/5.0

**Total Reviews:** 26

#### How Do G2 Users Rate datapine?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 10.0/10 (Category avg: 8.4/10)
- **Reports Interface:** 10.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind datapine?

- **Seller:** [RIB Software](https://www.g2.com/sellers/rib-software)
- **Year Founded:** 1961
- **HQ Location:** Stuttgart, DE
- **Twitter:** @RIB\_Global  
1,214 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8179bca752e6e793d16419635048c00482de304bcea9b867ee66c8c56ea51cf0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frib-software%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,556 employees on LinkedIn®
- **Ownership:** ETR:RIB

#### Who Uses This Product?

- **Company Size:** 50% Medium, 42% Small

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

**["All in one BI tool with powerful features"](https://www.g2.com/survey_responses/datapine-review-5112205)**

**Rating:** 5.0/5.0 stars

_— Verified User in Retail_

[Read full review](https://www.g2.com/survey_responses/datapine-review-5112205)

**["Great predictive analytics features for budgeting"](https://www.g2.com/survey_responses/datapine-review-7521266)**

**Rating:** 5.0/5.0 stars

_— Verified User in Consumer Services_

[Read full review](https://www.g2.com/survey_responses/datapine-review-7521266)

### [Intellicus](https://www.g2.com/products/intellicus/reviews)

Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use data to accelerate their growth. Intellicus Technologies tailor solutions based on your needs, instead of retrofitting them to ‘customizable’ one-size-fits-all solutions. Intellicus offers end-to-end data integration through ETL, integrating sophisticated databases, ERP solutions, legacy systems, telephony, ACDs till flat file systems into a data warehouse that becomes the single source of truth. Intellicus’ self-serve reporting, OLAP capabilities and interactive analytics dashboards allow users to drill down & drill up, zoom out or slice-and-dice data to create a 360-degree view of the business. Auto-ML based what-if predictions deliver power and agility to small and large enterprises so that they can make business critical decisions based on science. Ready to take the next step in your digital transformation? Write to marketing@intellicus.com today

**Average Rating:** 4.6/5.0

**Total Reviews:** 119

#### How Do G2 Users Rate Intellicus?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Intellicus?

- **Seller:** [Intellicus Technologies](https://www.g2.com/sellers/intellicus-technologies)
- **Company Website:** www.intellicus.com
- **Year Founded:** 2004
- **HQ Location:** Los Gatos, CA
- **Twitter:** @Intellicus  
277 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fc07f0f0ad8078ef7bf3668fb492fde78637e65e9a468217a08fcf623e67cc5e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fintellicus-technologies&secure%5Burl_type%5D=linkedin_company_website)  
241 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 59% Medium, 23% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **reporting capabilities** of Intellicus efficient and user-friendly, enhancing their data management experience.
- Users value the **ease of use** of Intellicus, enhancing workflow efficiency and streamlining data management tasks effectively.
- Users value the **ease of dashboard customization** in Intellicus, enabling tailored insights for diverse management levels.
- Users appreciate the **end-to-end data analysis solutions** of Intellicus, enhancing efficiency in data processing and integration.
- Users value the **advanced data visualization capabilities** of Intellicus, enhancing their business intelligence and decision-making efforts.

##### Cons

- Users find the **complex usability** of Intellicus challenging, especially with advanced features and initial setup requiring technical knowledge.
- Users find certain features of Intellicus **difficult to learn** , impacting the overall user experience and efficiency.
- Users find the **learning curve steep** with Intellicus, as advanced features and scripting are not immediately intuitive.
- Users find Intellicus's **complex interface** overwhelming initially, requiring time to master before fully utilizing its features.
- Users find the **learning difficulty** of Intellicus challenging due to complex features and initial technical understanding required.

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

**["Excellent for Data Engineering and Visualization"](https://www.g2.com/survey_responses/intellicus-review-11985902)**

**Rating:** 5.0/5.0 stars

_— Abhishek D._

[Read full review](https://www.g2.com/survey_responses/intellicus-review-11985902)

**["A Powerful BI & Reporting Platform"](https://www.g2.com/survey_responses/intellicus-review-7654115)**

**Rating:** 5.0/5.0 stars

_— Jaswanth S._

[Read full review](https://www.g2.com/survey_responses/intellicus-review-7654115)

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

- [What is Intellicus used for?](https://www.g2.com/discussions/what-is-intellicus-used-for) - 1 comment, 1 upvote

### [Hurree](https://www.g2.com/products/hurree/reviews)

Hurree is an AI-powered platform that consolidates all your reporting data into a single, easy-to-use command centre. It connects with over 70 popular tools, giving you a single, reliable view of performance across your business. With fully customizable dashboards, Hurree makes it simple for any team to track KPIs, monitor trends, and measure success with no technical skills required. At the heart of the platform is Riva, Hurree's built-in AI assistant. Riva doesn't just show you the numbers; it explains them. From instant summaries to predictive insights and actionable recommendations, Riva helps you understand what’s happening and what to do next. Hurree is built for teams who want better visibility, clearer reporting, and data they can actually use, without the complexity.

**Average Rating:** 4.8/5.0

**Total Reviews:** 74

#### How Do G2 Users Rate Hurree?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.9/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 7.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Hurree?

- **Seller:** [Hurree](https://www.g2.com/sellers/hurree)
- **Company Website:** www.hurree.co
- **Year Founded:** 2018
- **HQ Location:** Belfast, Antrim
- **Twitter:** @Hurree\_me  
896 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e490398e57b457718f0addb03220e1ee2f77253c11ee80402709164d6af8624a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhurree%2F&secure%5Burl_type%5D=linkedin_company_website)  
48 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Marketing and Advertising
- **Company Size:** 58% Small, 42% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Hurree, facilitating effective setup and clear data presentation for clients.
- Users value the **intuitive interface and customizable dashboards** of Hurree for effective data visualization and tracking.
- Users praise Hurree for its **intuitive data visualization** that simplifies understanding and enhances team productivity.
- Users appreciate Hurree's **efficiency** in showcasing lead sources and competition, enhancing client interactions and trust-building.
- Users value Hurree for its **ability to transform raw data into meaningful insights** , enhancing decision-making with reliable information.

##### Cons

- The **initial learning curve** can be overwhelming, but support helps users adapt to Hurree's features over time.
- Some users note the **limited customization options** in Hurree, wishing for more flexibility in tailoring features.
- Users find the **reporting features limited** , hindering deeper analysis and flexibility in integrations.
- Users are disappointed by the **lack of AI integration** in Hurree, despite ongoing development efforts for future features.
- Users find **learning difficulties** with data ranges and integration, impacting their overall experience with Hurree.

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

**["Hurree brought structure and focus to our performance monitoring"](https://www.g2.com/survey_responses/hurree-review-12358678)**

**Rating:** 5.0/5.0 stars

_— Hayley C._

[Read full review](https://www.g2.com/survey_responses/hurree-review-12358678)

**["Game-Changer for Data-Driven Marketing Teams"](https://www.g2.com/survey_responses/hurree-review-12533440)**

**Rating:** 5.0/5.0 stars

_— Gavin M._

[Read full review](https://www.g2.com/survey_responses/hurree-review-12533440)

### [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)

### [TARGIT Decision Suite](https://www.g2.com/products/targit-targit-decision-suite/reviews)

TARGIT brings expertise to key verticals to help their customers make data-driven decisions. They drive lasting value with business intelligence (BI) and analytics solutions that support your unique goals and the processes that power your day-to-day operations. Experience love at first sight with TARGIT Decision Suite, their all-in-one business intelligence (BI) and analytics platform that's intuitive, versatile, and accessible for every employee. TARGIT Decision Suite helps companies integrate, visualize, and share data better and faster than ever before. Their solution combines the control of a centralized BI solution with the flexibility of a decentralized solution, with robust security and dependability. Plus, it easily integrates with your existing systems and continually adapts to your needs, even as your organization grows. Recognized as a Global Leader in Vendor Credibility by Dresner three years in a row and Leader in BI Excellence by BARC eight years in a row, TARGIT prides itself on supporting our customers through continuous innovation, insightful recommendations, and a people-first business model.

**Average Rating:** 4.2/5.0

**Total Reviews:** 17

#### How Do G2 Users Rate TARGIT Decision Suite?

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.1/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 6.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind TARGIT Decision Suite?

- **Seller:** [Targit](https://www.g2.com/sellers/targit)
- **Year Founded:** 1986
- **HQ Location:** Aalborg, Denmark
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b9cac58a4751f2a3649d38b762354fb74d23789796a2b45fab8492ed91e9a30&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F30005%2F&secure%5Burl_type%5D=linkedin_company_website)  
109 employees on LinkedIn®
- **Phone:** 813-933-4600

#### Who Uses This Product?

- **Company Size:** 53% Medium, 29% Large

#### What Are Recent G2 Reviews of TARGIT Decision Suite?

**["Good for reports, not great for 24x7 dashboards"](https://www.g2.com/survey_responses/targit-decision-suite-review-7994841)**

**Rating:** 4.5/5.0 stars

_— Antonello C._

[Read full review](https://www.g2.com/survey_responses/targit-decision-suite-review-7994841)

**["Efficient Navigation: Real-Time Metrics and Microsoft Dynamics Integration."](https://www.g2.com/survey_responses/targit-decision-suite-review-9208576)**

**Rating:** 4.5/5.0 stars

_— Dhvani S._

[Read full review](https://www.g2.com/survey_responses/targit-decision-suite-review-9208576)

### [Visier](https://www.g2.com/products/visier/reviews)

Visier gives organizations a Workforce AI Edge: a set of AI-powered capabilities that help leaders understand the relationship between people and work, elevate employee productivity, and win by adapting to change faster. The company is the global leader in AI-powered people analytics, workforce planning, and compensation allocation. All Visier technology is underpinned by its Real-time People Data Platform, which uses AI to unlock the business-transforming potential of people data, work data, and the fusion of both. Founded in 2010 by the pioneers of business intelligence, Visier has over 60,000 customers in 75 countries—including enterprises like BASF, Panasonic, Experian, Amgen, eBay, Ford Motor Company, and more. To learn more about Visier, visit www.visier.com.

**Average Rating:** 4.6/5.0

**Total Reviews:** 219

#### How Do G2 Users Rate Visier?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.7/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 6.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Visier?

- **Seller:** [Visier](https://www.g2.com/sellers/visier-8c589666-edc0-409b-b9fb-0df31e55c335)
- **Year Founded:** 2010
- **HQ Location:** Vancouver, British Columbia
- **Twitter:** @visier  
6,164 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a67746cd54d52b76feedc38c64008e862f5352930b355fa1e14085a9c8216795&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvisier-analytics%2F&secure%5Burl_type%5D=linkedin_company_website)  
555 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Hospital & Health Care, Information Technology and Services
- **Company Size:** 82% Large, 17% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Visier, appreciating its flexibility and support during the implementation process.
- Users value the **powerful data analysis** capabilities of Visier, offering insights and trend predictions with ease.
- Users value the **powerful data connectivity** of Visier, enabling insightful trend identification and storytelling dashboards.
- Users appreciate the **intuitive data visualizations** of Visier, enabling easy interpretation and deeper workforce insights.
- Users value the **time-saving capabilities** of Visier, benefiting from its fast performance and ease of use.

##### Cons

- Users struggle with **learning difficulties** in Visier, finding it challenging to navigate and build without expert assistance.
- Users find Visier **expensive** , with high costs for scaling, unlocking modules, and onboarding additional data.
- Users find the **learning curve steep** for new users, making initial use of Visier challenging.
- Users find the **complexity** of filtering and customization in Visier can hinder the user experience significantly.
- Users find the **limited customization** options restrictive, impacting usability and requiring additional support for complex changes.

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

**["Great tool to support people analytics functions"](https://www.g2.com/survey_responses/visier-review-11716065)**

**Rating:** 4.5/5.0 stars

_— Verified User in Hospital & Health Care_

[Read full review](https://www.g2.com/survey_responses/visier-review-11716065)

**["Great Analytics tool!"](https://www.g2.com/survey_responses/visier-review-11724107)**

**Rating:** 4.0/5.0 stars

_— Verified User in Food & Beverages_

[Read full review](https://www.g2.com/survey_responses/visier-review-11724107)

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

- [Is Visier cloud based?](https://www.g2.com/discussions/is-visier-cloud-based) - 1 comment
- [What is visier service portal?](https://www.g2.com/discussions/what-is-visier-service-portal)
- [Is visier a good company?](https://www.g2.com/discussions/is-visier-a-good-company)
- [What is visier used for?](https://www.g2.com/discussions/what-is-visier-used-for)

### [Cube](https://www.g2.com/products/cube-2023-07-31/reviews)

Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool. The data team's governed metric definitions stay intact while AI constructs ad-hoc calculations on top of them — so you get governance and flexibility at the same time, not one at the expense of the other. That's why teams like Brex chose Cube to power AI-driven analytics at production scale. With Cube, data teams can: Model metrics and business definitions once, in a SQL-first semantic layer, and serve them consistently to every downstream consumer — AI agents, BI, spreadsheets, and embedded apps. Let business users ask questions in natural language through Analytics Chat, with answers grounded in the governed model instead of guessed from raw tables. Bring analytics to where people already work — Slack, and any MCP-compatible agent like Claude or ChatGPT via the Cube MCP server. Embed analytics in customer-facing products with multi-tenancy, row-level security, and query performance under load — choosing from a chat API, drop-in iframes, embedded creator mode, or data APIs. Apply software engineering best practices to analytics: version control with Git, CI/CD, isolated environments, and pre-aggregation caching for fast queries and lower warehouse spend. Cube Core, the open-source semantic layer at its foundation, has years of production use across a large developer community — battle-tested infrastructure that commercial-only tools can't match. Cube sits on top of your cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks); it doesn't replace it.

**Average Rating:** 4.5/5.0

**Total Reviews:** 27

#### How Do G2 Users Rate Cube?

- **Has the product been a good partner in doing business?:** 9.7/10 (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:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Cube?

- **Seller:** [Cube](https://www.g2.com/sellers/cube-637927e0-6501-4673-89d8-4d5ecadb4f96)
- **Company Website:** cube.dev
- **Year Founded:** 2019
- **HQ Location:** San Francisco, CA
- **Twitter:** @the\_cube\_dev  
2,215 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b633e33761cca44361104ba94499ca211687e43eb43e6344a3c4d16a2bada278&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcube-dev%2F&secure%5Burl_type%5D=linkedin_company_website)  
47 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 52% Small, 37% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find CubeJS Cloud's **ease of use** exceptional, simplifying development and maintenance for small teams.
- Users value the **flexibility and customization** offered by Cube, enhancing their embedded analytics applications significantly.
- Users value the **powerful BI capabilities** of Cube, enabling sophisticated metrics and fast data access for insights.
- Users commend the **fast and proactive customer support** of Cube, enhancing their overall experience significantly.
- Users value the **flexibility** of CubeJS, enabling seamless integration and customization for various applications.

##### Cons

- Users find Cube lacking in **essential features** like BI integration, flexibility in metrics, and comprehensive functionality.
- Users report frequent **bugs and integration issues** with Cube, creating frustrating challenges and impacting efficiency.
- Users find **data integration challenging** with BI tools, encountering issues like query failures and limited metric flexibility.
- Users find Cube's features **limited** , citing a lack of documentation, SDKs, and advanced charting or semantic capabilities.
- Users report encountering **software bugs** that hinder functionality, particularly with preAggregations and documentation clarity.

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

**["Great for AI applications and general data apps!"](https://www.g2.com/survey_responses/cube-review-10751001)**

**Rating:** 4.5/5.0 stars

_— Verified User in Commercial Real Estate_

[Read full review](https://www.g2.com/survey_responses/cube-review-10751001)

**["Super Easy Access to the DEV team"](https://www.g2.com/survey_responses/cube-review-11700913)**

**Rating:** 5.0/5.0 stars

_— Verified User in Real Estate_

[Read full review](https://www.g2.com/survey_responses/cube-review-11700913)

### [ThoughtSpot](https://www.g2.com/de/products/thoughtspot/reviews)

ThoughtSpot ist das Agentic Analytics Platform-Unternehmen für Unternehmen. Mit natürlicher Sprache und KI befähigt ThoughtSpot jeden in einer Organisation, Datenfragen zu stellen, Antworten zu erhalten und Maßnahmen zu ergreifen. Code-first für Datenteams und code-free für Geschäftsanwender, ThoughtSpot ist intuitiv genug, dass es jeder nutzen kann, aber dennoch in der Lage, große, komplexe Cloud-Daten in großem Maßstab zu verarbeiten. Kunden wie Coca-Cola, Hilton Worldwide und Capital One erschließen das volle Potenzial ihrer Daten mit ThoughtSpot.

**Average Rating:** 4.4/5.0

**Total Reviews:** 327

#### How Do G2 Users Rate ThoughtSpot?

- **War the product ein guter Geschäftspartner?:** 8.9/10 (Category avg: 9.1/10)
- **Schritte zur Beantwortung:** 8.6/10 (Category avg: 8.4/10)
- **Benutzeroberfläche "Berichte":** 8.7/10 (Category avg: 8.7/10)
- **Berechnete Felder:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind ThoughtSpot?

- **Verkäufer:** [ThoughtSpot](https://www.g2.com/de/sellers/thoughtspot)
- **Unternehmenswebsite:** www.thoughtspot.com
- **Gründungsjahr:** 2012
- **Hauptsitz:** Mountain View, CA
- **Twitter:** @thoughtspot  
10,975 Twitter-Follower
- **LinkedIn®-Seite:** [www.linkedin.com](https://www.g2.com/de/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=db2fe2383870d4f008d7cc2b638c2285be5cd630c7ab2368fada8a6987b8abee&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2647843%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,738 Mitarbeiter\*innen auf LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Datenanalyst
- **Top Industries:** Informationstechnologie und Dienstleistungen, Computersoftware
- **Company Size:** 44% Large, 42% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Benutzer schätzen die **Benutzerfreundlichkeit** von ThoughtSpot und genießen den einfachen Datenzugriff sowie die intuitive Suchfunktion.
- Benutzer schätzen die **benutzerfreundliche Oberfläche** von ThoughtSpot, die Aufgaben zur Datenverwaltung und Berichterstellung effektiv vereinfacht.
- Benutzer loben die **intuitiven Analysefähigkeiten** von ThoughtSpot, die Datenexploration für alle in der Organisation zugänglich machen.
- Benutzer schätzen die **intuitive Benutzeroberfläche** von ThoughtSpot, die Datenanalysen für jeden zugänglich und einfach macht.
- Benutzer schätzen die **effektive Datenvisualisierung** in ThoughtSpot, die die Entscheidungsfindung verbessert und Geschäftsabläufe optimiert.

##### Cons

- Benutzer erleben eine **steile Lernkurve** mit ThoughtSpot und finden es anfangs herausfordernd und unintuitiv.
- Benutzer finden **fehlende Funktionen** in ThoughtSpot und bemerken Verzögerungen bei Ergänzungen sowie einen Mangel an Anpassungsoptionen.
- Benutzer kämpfen mit der **Komplexität** von ThoughtSpot, da sie es als nicht intuitiv empfinden und es schwierig finden, Formeln effektiv zu erstellen.
- Benutzer haben **Lernschwierigkeiten** mit ThoughtSpot, da es nicht intuitiv ist und erhebliche IT-Unterstützung erfordert.
- Benutzer finden die **begrenzten Anpassungsoptionen** in ThoughtSpot einschränkend, was ihre Fähigkeit beeinträchtigt, Visualisierungen effektiv anzupassen.

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

**["Ein modernes Werkzeug für BI-Analysen"](https://www.g2.com/de/survey_responses/thoughtspot-review-7807660)**

**Rating:** 4.0/5.0 stars

_— Akash D._

[Read full review](https://www.g2.com/de/survey_responses/thoughtspot-review-7807660)

**["Einfache Navigation durch die Suche mit leistungsstarken Filtern und hilfreichen KI-Abfrageanpassungen"](https://www.g2.com/de/survey_responses/thoughtspot-review-13035404)**

**Rating:** 4.0/5.0 stars

_— Verifizierter Benutzer in Freizeit, Reisen & Tourismus_

[Read full review](https://www.g2.com/de/survey_responses/thoughtspot-review-13035404)

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

- [Wofür wird ThoughtSpot verwendet?](https://www.g2.com/de/discussions/thoughtspot-what-is-thoughtspot-used-for)
- [What does ThoughtSpot do?](https://www.g2.com/de/discussions/what-does-thoughtspot-do) - 1 comment
- [Is ThoughtSpot a public company?](https://www.g2.com/de/discussions/is-thoughtspot-a-public-company)
- [What is ThoughtSpot used for?](https://www.g2.com/de/discussions/what-is-thoughtspot-used-for)
- [What is ThoughtSpot software?](https://www.g2.com/de/discussions/what-is-thoughtspot-software)

### [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)

### [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

### [Strategy One (formerly MicroStrategy ONE)](https://www.g2.com/products/strategy-one-formerly-microstrategy-one/reviews)

🚀 Strategy One – the AI+BI Platform for Enterprise Analytics at Scale What is Strategy One? Strategy One is the enterprise AI + BI platform that powers data-driven decision-making at scale. Built for complex enterprises, it unifies business intelligence, advanced analytics, and governed data modeling into a single, open platform. With native AI-powered workflows, pixel-perfect dashboards, modern self-service tools, and seamless integrations with Excel, Power BI, and Tableau, Strategy One delivers trusted insights wherever decisions are made. Why Strategy One? Unlike fragmented BI stacks or limited legacy tools, Strategy One provides an end-to-end platform with one trusted semantic core. Business users get governed self-service. Analysts get powerful modeling tools. Executives get real-time answers they can trust. And IT retains full control over data access, definitions, and lineage. Whether you’re creating executive dashboards, deploying embedded analytics, scaling AI copilots, or consolidating BI tools—Strategy One meets the moment with: ✅ Cloud-native architecture ✅ Open integrations with 200+ data sources ✅ Enterprise-grade security and governance ✅ Industry-leading performance and scale ✅ Built-in support for AI copilots, agents, and models Strategy One is trusted by global enterprises in banking, retail, healthcare, and government to turn data into decisions—fast, securely, and at scale.

**Average Rating:** 4.2/5.0

**Total Reviews:** 529

#### How Do G2 Users Rate Strategy One (formerly MicroStrategy ONE)?

- **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.5/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.2/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Strategy One (formerly MicroStrategy ONE)?

- **Seller:** [Strategy (formerly MicroStrategy)](https://www.g2.com/sellers/strategy-formerly-microstrategy)
- **Company Website:** www.strategy.com
- **Year Founded:** 1989
- **HQ Location:** Tysons Corner, VA
- **Twitter:** @MicroStrategy  
303,456 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f32382ee6ea0cc02d6dc7c1fe37038f1247aceba92d8d5030350f4ffb1e6c92&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstrategy%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,457 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Business Intelligence Developer, Manager
- **Top Industries:** Retail, Financial Services
- **Company Size:** 62% Large, 29% Medium

#### What Do G2 Reviewers Say About Strategy One (formerly MicroStrategy ONE)?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in Strategy One, facilitating quick access to insights and effective data management.
- Users admire the **ongoing commitment to innovation** in Strategy One, ensuring it consistently stays ahead of competitors.
- Users appreciate the **easy setup** of Strategy One, facilitating quick access and efficient data management from the start.
- Users appreciate the **customization options** in Strategy One, enabling tailored applications and efficient data analysis.
- Users love the **flexible dashboard customization** that simplifies data analysis and enhances reporting capabilities.

##### Cons

- Users find the **learning difficulty** significant, as the software's complexity can be overwhelming for both technical and end users.
- Users find the **steep learning curve** of Strategy One challenging, although improvements are being made for easier navigation.
- Users find the **absence of essential features** in Strategy One, especially integration with tools like Copilot, frustrating.
- Users often find the **complex usage** of Strategy One overwhelming, facing a steep learning curve and integration challenges.
- Users face **access restrictions** due to the need for an enterprise version, limiting broader availability and customization.

#### What Are Recent G2 Reviews of Strategy One (formerly MicroStrategy ONE)?

**["Empowers Data Accessibility, with Minor Transition Hiccups"](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12417688)**

**Rating:** 4.0/5.0 stars

_— Van V. T._

[Read full review](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12417688)

**["Scalable, Enterprise-Ready BI with Strong Governance and Reliable Performance"](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12406962)**

**Rating:** 5.0/5.0 stars

_— Carlos G._

[Read full review](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12406962)

#### What Are G2 Users Discussing About Strategy One (formerly MicroStrategy ONE)?

- [What is MicroStrategy used for?](https://www.g2.com/discussions/what-is-microstrategy-used-for)
- [What is the difference between tableau and MicroStrategy?](https://www.g2.com/discussions/what-is-the-difference-between-tableau-and-microstrategy)
- [How much does MicroStrategy cost?](https://www.g2.com/discussions/how-much-does-microstrategy-cost) - 1 comment
- [Why is MicroStrategy used?](https://www.g2.com/discussions/why-is-microstrategy-used)
- [What is MicroStrategy software?](https://www.g2.com/discussions/what-is-microstrategy-software)

### [Savant Labs](https://www.g2.com/products/savant-labs/reviews)

Savant is an AI workflow automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed, audit-ready workflows, driving efficiency without sacrificing accuracy, control, or compliance. Savant integrates with your preferred LLM, including Claude, Copilot, ChatGPT, and private LLMs, so you control model choice, data residency, and cost. Ask in plain language for the workflow you want to build, or simply say "run this month's reconciliation," and Savant turns that instruction into a repeatable, governed, auditable workflow. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance and auditability are built in, not bolted on: Audit trail, data lineage, SOX controls, role-based access, and evidence packs are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered workflow automation: Automate any workflow end to end — financial reconciliation, month-end close, tax provisioning, accruals, and more. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Reproducible results: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail, data lineage, and evidence packs: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing

**Average Rating:** 4.7/5.0

**Total Reviews:** 49

#### How Do G2 Users Rate Savant Labs?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.7/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Savant Labs?

- **Seller:** [Savant Labs](https://www.g2.com/sellers/savant-labs)
- **Company Website:** www.savantlabs.io
- **Year Founded:** 2021
- **HQ Location:** San Francisco, California
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5dcb585c5245667215a14c13aa5332e041e2aa08dcb405a69812a52bc310dd41&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsavant-labs&secure%5Burl_type%5D=linkedin_company_website)  
61 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Logistics and Supply Chain
- **Company Size:** 44% Large, 40% Medium

#### What Do G2 Reviewers Say About Savant Labs?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Savant Labs, enjoying its intuitive interface and seamless analytics capabilities.
- Users appreciate the **friendly and responsive customer support** that effectively addresses issues and inquiries promptly.
- Users love the **user-friendly interface** , which simplifies analytics and enhances productivity with seamless data integration.
- Users appreciate the **easy integrations** with Google Drive and other tools, enhancing analysis efficiency without coding.
- Users love the **easy integrations** with various data sources, enhancing their analytics experience without coding knowledge.

##### Cons

- Users note a **steep learning curve** with Savant Labs, requiring practice and patience to navigate effectively.
- Users find the **learning difficulty** with Savant Labs steep, requiring practice to navigate its innovative features effectively.
- Users experience **integration issues** with Savant Labs, facing difficulties in updating data sources and tool functionality.
- Users face significant **access issues** , particularly with personal email logins and outdated tools during analyses.
- Users face challenges with **data management** , particularly in updating sources and refreshing analyses effectively.

#### What Are Recent G2 Reviews of Savant Labs?

**["Faster close + auditors actually trust our process now"](https://www.g2.com/survey_responses/savant-labs-review-12941283)**

**Rating:** 5.0/5.0 stars

_— Lawrence M._

[Read full review](https://www.g2.com/survey_responses/savant-labs-review-12941283)

**["Automated sales tax reconciliation and significantly shortened month-end close"](https://www.g2.com/survey_responses/savant-labs-review-12942104)**

**Rating:** 5.0/5.0 stars

_— Marlene S._

[Read full review](https://www.g2.com/survey_responses/savant-labs-review-12942104)

### [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

### [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews)

Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at [https://www.qlik.com/us/](-%09https://www.qlik.com/us/products/qlik-sense?utm_medium=referral&utm_source=G2&utm_team=DIG&utm_term=QlikSense&utm_mpt_id=CKMP5D)

**Average Rating:** 4.4/5.0

**Total Reviews:** 763

#### How Do G2 Users Rate Qlik Sense?

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

#### Who Is the Company Behind Qlik Sense?

- **Seller:** [Qlik](https://www.g2.com/sellers/qlik)
- **Year Founded:** 1993
- **HQ Location:** Radnor, PA
- **Twitter:** @qlik  
64,130 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cd147c14c7daf80e08bf113d2cae24ca3693e49a87c147350c31e8b0961c7297&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10162%2F&secure%5Burl_type%5D=linkedin_company_website)  
4,551 employees on LinkedIn®
- **Phone:** 1 (888) 994-9854

#### Who Uses This Product?

- **Who Uses This:** Consultant, Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Large, 41% Medium

#### What Do G2 Reviewers Say About Qlik Sense?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **ease of use** of Qlik Sense, appreciating its user-friendly interface and seamless data integration.
- Users value the **robust data visualization capabilities** in Qlik Sense, enhancing insight generation from diverse data sources.
- Users value the **rapid development capabilities** of Qlik Sense, enabling quick creation of insightful analytics applications.
- Users value the **robust data visualization capabilities** of Qlik Sense, enhancing insights and facilitating data integration effortlessly.
- Users praise the **versatile tools** of Qlik Sense, enabling effective data integration and insightful analytics at all levels.

##### Cons

- Users note the **limited features** of Qlik Sense, particularly regarding custom visuals and dashboard development ease.
- Users miss the **ability to add personal objects** and static report features in Qlik Sense SaaS compared to on-premise.
- Users find Qlik Sense to be **expensive** , which affects its accessibility and overall value for data analytics.
- Users are frustrated with **manual data management tasks** , wishing for more automation and better data organization in Qlik Sense.
- Using Qlik Sense involves a steep **learning curve** , making it challenging for beginners to utilize effectively.

#### What Are Recent G2 Reviews of Qlik Sense?

**["Intuitive Data Exploration and Dashboards with Qlik Sense’s Associative Model"](https://www.g2.com/survey_responses/qlik-sense-review-12963425)**

**Rating:** 4.5/5.0 stars

_— Suman K._

[Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12963425)

**["Visually Stunning, Excel-Like Ease on Web"](https://www.g2.com/survey_responses/qlik-sense-review-12727600)**

**Rating:** 4.0/5.0 stars

_— Adnan J._

[Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12727600)

#### What Are G2 Users Discussing About Qlik Sense?

- [What is Qlik Sense used for?](https://www.g2.com/discussions/what-is-qlik-sense-used-for)
- [What is QlikView used for?](https://www.g2.com/discussions/what-is-qlikview-used-for)
- [What is the difference between QlikView and qlik sense?](https://www.g2.com/discussions/what-is-the-difference-between-qlikview-and-qlik-sense) - 1 comment
- [Is qlik sense good?](https://www.g2.com/discussions/is-qlik-sense-good) - 1 comment
- [What can qlik sense do?](https://www.g2.com/discussions/what-can-qlik-sense-do) - 1 comment

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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 July 2, 2025

Analytics platforms provide a tool set for businesses to transform raw data into meaningful, actionable insights. They enable organizations to explore data, uncover trends, forecast future outcomes, and support informed decision making.

Unlike tools limited to reporting on past performance, analytics platforms often include advanced capabilities such as predictive modeling, statistical analysis, and machine learning (ML). These platforms are designed to be flexible and scalable, supporting a wide range of use cases across the business.

These platforms are used in nearly every business function, from marketing and sales to finance, operations, and HR, supporting both strategic planning and day-to-day performance monitoring. From data analysts and scientists to business stakeholders and executives, analytics platforms are used by a wide range of personas. While analysts focus on exploring data and generating insights, self-service tools now enable non-technical users to interact directly with data. IT teams support platform integration and security, reflecting the growing push to democratize data access and embed analytics into daily decision-making across the organization.

Analytics platforms support critical functions such as data blending and modeling, enabling users to combine data from diverse sources and build robust, interconnected data models. The visual outputs — dashboards, reports, and interactive charts — help users explore trends, drill down into granular details, and communicate insights clearly.

Unlike standalone data visualization tools, which are limited to presenting information, analytics platforms encompass the full analytical workflow. Many also offer advanced capabilities such as embedded analytics, natural language query, and augmented analytics, which leverage ML to automate insight discovery and make data exploration more accessible to a broader audience.

Analytics platforms and [business intelligence (BI) software](https://www.g2.com/categories/business-intelligence) often work in tandem to support data-driven organizations. While BI tools focus on tracking and reporting historical performance through dashboards and key performance indicators (KPI), analytics platforms provide broader capabilities that support exploratory analysis and strategic planning. BI answers "what happened," while analytics platforms help users understand why it happened and what might happen next. Rather than replacing BI, analytics platforms complement it by enabling deeper insights and empowering a wider range of users across the organization.

To qualify for inclusion in the Analytics Platforms category, a product must:

- Ingest and integrate data from a wide range of structured and semi-structured sources
- Prepare and transform data using built-in tools for cleaning, enrichment, and formatting
- Support connections to diverse data sources, including file uploads, databases, application programming interfaces (API), and SaaS apps
- Enable users to model data relationships, join datasets, and explore data interactively
- Offer tools to build meaningful business reports, dashboards, and visualizations
- Allow creation and sharing of internal analytics applications or embedded insights across teams

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.