Question 1

What are analytics software platforms?

Accepted Answer

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.

Question 2

What types of analytics tools and platforms exist?

Accepted Answer

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.

Question 3

What are the common features of analytics solutions?

Accepted Answer

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 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: 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, Query based, Search, Traditional

How Many Analytics Platforms Products Does G2 Track?

Category Stats (Oct 2026)

How Does G2 Rank Analytics Platforms Products?

G2 Grid® for Analytics Platforms

Riona

Who Is the Company Behind Riona?

Rivisio

Who Is the Company Behind Rivisio?

AI can help you find the answers. G2 helps you trust them.

Rundown BI

Who Is the Company Behind Rundown BI?

Sage BI Reporting

Who Is the Company Behind Sage BI Reporting?

Sage Data and Analytics

Who Is the Company Behind Sage Data and Analytics?

SageX

Who Is the Company Behind SageX?

SART360

Who Is the Company Behind SART360?

SAS Analytics Pro

Who Is the Company Behind SAS Analytics Pro?

SCOPE Core

Who Is the Company Behind SCOPE Core?

SEDCO Business Intelligence

Who Is the Company Behind SEDCO Business Intelligence?

Seer

Who Is the Company Behind Seer?

Senpai by silverspark.ai

Who Is the Company Behind Senpai by silverspark.ai?

SharperLight

Who Is the Company Behind SharperLight?

Siagri BI

Who Is the Company Behind Siagri BI?

Best Analytics Platforms - Page 36