Analytics Platforms Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Analytics Platforms
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Analytics Platforms Articles
What Is Data Analytics? The Future of Data-Driven Decisions
There are many aspects to understanding data analytics, so where does one even get started?
by Devin Pickell
What Is Data Discovery? How to Find Data Patterns and Outliers
Imagine driving in low-visibility conditions.
by Sudipto Paul
36+ Big Data Examples and Applications In Real Life
As companies rationalize their database management practices, more firms turn to big data to operationalize their business outcomes.
by Devin Pickell
6 Real-World Examples of Business Intelligence in Action
Data is the lifeblood of business success. However, simply having access to massive amounts of data is not enough. The real challenge is transforming those datasets into actionable insights that can drive growth, optimize business operations, and elevate decision-making.
by Devin Pickell
Data Analysis Process: Key Steps and Techniques to Use
Businesses generate and store tons of data every day, but what happens to this data after it’s stored?
by Devin Pickell
What Is Prescriptive Analytics? How It Simplifies Data Forecasting
A world where your business knows what's in store for it.
by Aayushi Sanghavi
Barriers Toward Adopting AI and Analytics in the Supply Chain
I recently attended the Tableau Conference, where I indulged my nerdiness for four days. As a self-described data science evangelist, I was thrilled to see autoML, natural language generation, and other advanced automation features be added to Tableau, one of the world’s leading data visualization and business intelligence platforms.
by Anthony Orso
Data Trends in 2022
This post is part of G2's 2022 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Tom Pringle, VP, market research, and additional coverage on trends identified by G2’s analysts.
by Matthew Miller
What Is Self-Service BI? How It Makes Data Analysis Easy
Self-service business intelligence (BI) helps business users make sense of data.
by Sagar Joshi
When Platforms Collide, Analytics Evolves
Within the enterprise tech space, the seemingly endless evolution of data-driven insights continues apace—but when will it end?
by Tom Pringle
How COVID-19 Is Impacting Data Professionals
Remote work isn't the future. It's a current reality, with nearly 75% of U.S. workers working remotely at least some of the time, according to Owl Labs' State of Remote Work 2019 Report. Data scientists and other data professionals are no exception to the rule and are able to bring their work home with them if and when the need, or desire, arises. However, a switch to remote work isn't as straightforward as simply taking a work laptop home.
by Matthew Miller
Cohort Analysis: An Insider Look at Your Customer's Behavior
Whether you do it subconsciously or on purpose, it’s human nature to put things into groups.
by Mara Calvello
The Data Toolbox: The Expanding Domain of AI & Analytics
Killer robots. Threatening humanoids. Robo-apocalypses and evil robots taking over the world. (Just kidding.)
by Matthew Miller
A Brief History of Data and the Birth of Analytics Platforms
The story of the first business computer could not be more British if it tried.
by Tom Pringle
8 Big Data Technologies On the Rise
The media storm surrounding big data has calmed, but businesses are still searching for ways to harness all this data.
by Devin Pickell
The 4 Most Important Big Data Programming Languages
Programming languages, just like spoken languages, have their own unique structures, formats, and flows.
by Devin Pickell
4 Types of Data Analytics Your Business Can Benefit From
With every passing year, it becomes more evident that being a “data-driven” business is no longer optional.
by Devin Pickell
Analytics Platforms Glossary Terms
Analytics Platforms Discussions
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Question on: Onspring
What is Onspring used for?
What is Onspring used for?
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Onspring is a great tool for business process automation. It ships with sample processes around Goverenance, Risk, Compliance, Disaster Recovery, Vender Risk Management etc. but can be leveraged to automate any process, i.e. anything your team is currently achieving with a mix of shared sheets and emails would gain levels of efficiency by moving it to Onspring.
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Question on: SAS Augmented Analytics & Business Intelligence
What is SAS Business Intelligence?
What is SAS Business Intelligence?
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SAS (BI) is a suite of software applications that helps businesses collect, analyze, and visualize data to make informed decisions. It includes a wide range of tools for data preparation, data mining, predictive analytics, and reporting.
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SAS Business Intelligence (BI) is a suite of software tools and applications provided by SAS Institute, a leading analytics software and services company. SAS BI enables organizations to gather, manage, and analyze data from various sources to make informed business decisions. It offers a wide range of capabilities for data integration, data visualization, reporting, and analytics.
Key components of SAS Business Intelligence include:
Data Integration: SAS BI allows you to extract, transform, and load (ETL) data from multiple sources, such as databases, spreadsheets, and other data files. It provides tools for data cleansing, data quality assessment, and data integration processes.
Data Exploration and Visualization: SAS BI offers interactive data exploration and visualization features that help users understand and analyze data. It provides a variety of visualization options, including charts, graphs, dashboards, and reports, to present data in a meaningful and insightful manner.
Reporting and Dashboards: SAS BI enables users to create and distribute customized reports and interactive dashboards. It allows you to design and format reports according to specific requirements, schedule automated report generation, and share reports with relevant stakeholders.
Analytics and Predictive Modeling: SAS BI incorporates advanced analytics capabilities, including statistical analysis, predictive modeling, and data mining. Users can leverage these features to uncover patterns, trends, and insights from their data, enabling them to make data-driven decisions and predictions.
Collaboration and Mobile Access: SAS BI provides collaboration features that facilitate sharing and collaboration among users. It also offers mobile access, allowing users to access reports, dashboards, and analysis on their mobile devices, ensuring data accessibility and decision-making on the go.
SAS Business Intelligence is widely used in various industries and sectors to drive data-driven decision-making, gain insights from complex data sets, and improve overall business performance.
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Question on: SAS Visual Analytics
What can SAS Visual Analytics do?
What can SAS Visual Analytics do?
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Be even more accessible to people without a work email.
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Analytics Platforms Reports
Mid-Market Grid® Report for Analytics Platforms
Spring 2026
G2 Report: Grid® Report
Grid® Report for Analytics Platforms
Spring 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Analytics Platforms
Spring 2026
G2 Report: Grid® Report
Momentum Grid® Report for Analytics Platforms
Spring 2026
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for Analytics Platforms
Spring 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Analytics Platforms
Winter 2026
G2 Report: Grid® Report
Small-Business Grid® Report for Analytics Platforms
Winter 2026
G2 Report: Grid® Report
Mid-Market Grid® Report for Analytics Platforms
Winter 2026
G2 Report: Grid® Report
Grid® Report for Analytics Platforms
Winter 2026
G2 Report: Grid® Report
Momentum Grid® Report for Analytics Platforms
Winter 2026
G2 Report: Momentum Grid® Report






















