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: Mediafly
What are some best practices that ExecVision use with their employees?
It is evident that your team of success managers are strongly coached -- what timeframes, call highlights and sorecards work best for your company?
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Hi Brianna - thanks for your questions and we appreciate your compliment of our Customer Success team!
There are many ways to answer your first question, but perhaps the most basic best practice we recommend is for managers to implement a set weekly coaching program with their teams. Reps should review, provide feedback on, and score two of their own calls each week, and then submit those calls to their managers for coaching. During weekly coaching sessions, the feedback on each call and corresponding scoring is reviewed to gain alignment, along with discussion around how the rep can improve on the skill gaps identified.
The answer to your second question really depends on an individual organization's sales motion, sales methodology, openness to coaching, and other factors. Our Customer Success team would be happy to work with you to develop a program that fits your organization's specific needs. I'm not sure which organization you are with or I'd have your CSM contact you. So, I'd recommend emailing cs@execvision.io at your convenience to request some time to plan and strategize.
Hope this is helpful!
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Question on: Mediafly
Is there any trainings that are free to watch?
When I was onboarded, I didn't receive much information about using the tool so I feel like I can get more out of it than I already am :0
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Hi Shannon - thanks so much for your question, and happy to help get you more information on how to use ExecVision. We have a whole host of resources available, so in an effort to not overwhelm you, I'll have your Customer Success Manager reach out to you to find out specifically where we can provide support. Be on the lookout for an email/call shortly!
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Question on: Entrinsik Informer
How easy is to move forward to version 5.00 or higher?
Are there many differences between version 4.6 and 5.00 or higher?
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Hello Nazanine,
Entrinsik has re-engineered Informer 5 with new technology and a modern architecture. Informer 5 has introduced the concept of Datasets to optimize large number of records, indexed for fast processing. In addition, Informer 5 has enhanced the library of visuals available for Dashboards.
Please contact our Customer Success Team at customersuccess@entrinsik.com to obtain a complete list of the differences between I4 and I5 and to discuss services provided, including migration strategies, training, and consulting.
Regina Lopez
Customer Success Manager
Entrinsik, Inc.
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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






















