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: TURBOARD
What is TURBOARD used for?
What is TURBOARD used for?
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TURBOARD is an all-encompassing Business Intelligence (BI) suite designed to transform data into actionable insights. It serves as a powerful tool for organizations aiming to make informed, data-driven decisions.
At its core, TURBOARD simplifies the complex process of data analysis. It allows individuals across your organization, regardless of their technical expertise, to engage with data effectively.
With TURBOARD, users can:
(1) Analyze Data Seamlessly: harness comprehensive data analytics tools to uncover trends, identify opportunities, and address challenges swiftly.
(2) Empower Decision-Making: provide all levels of your organization with the intelligence they need to make informed decisions, enhancing operational efficiency and driving business growth.
(3) Visualize and Report: create interactive dashboards and reports that present data in a clear, actionable format, making insights accessible to everyone.
In the realm of Business Intelligence, TURBOARD stands out by offering a user-friendly interface coupled with powerful analytical capabilities. It's not just about having data; it's about understanding it and turning it into strategic action with ease.
Whether it's streamlining operations, understanding customer behavior, optimizing supply chains, or forecasting market trends, TURBOARD makes BI accessible and actionable for businesses in various sectors.
TURBOARD enhances the analytical experience with a diverse range of built-in visualization types, eliminating the need for extensive data science or programming expertise. Users can effortlessly create dynamic dashboards with 25+ chart types, heat maps, Geo Maps, and GIS visualizations for intricate geospatial analysis. This user-friendly approach makes complex data understandable and actionable, allowing users to pinpoint trends and anomalies through interactive visual formats without manual intervention.
For instance, sales teams can utilize funnel charts to track the customer journey, while operations departments might use flow charts or pivot tables for multi-dimensional data exploration and process optimization. Info Cells and Gauges provide real-time metrics, bringing clarity and a compelling narrative to data, empowering stakeholders at every level.
With TURBOARD's visual tools, data is not just seen; it's understood and acted upon, paving the way for informed decision-making and transformative business strategies.
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Question on: Omniscope Evo
What is Omniscope Evo used for?
What is Omniscope Evo used for?
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Visokio Omniscope Evo is an advanced Business Intelligence (BI) and data analytics platform that empowers key decision-makers, business managers, data managers, data analysts, and data scientists with comprehensive data integration, processing, analytics, and reporting capabilities.
Its ability to seamlessly integrate a variety of data sources, files, databases, APIs as well as online services, ensures businesses can fully utilise their data assets.
Omniscope's advanced analytics, AI and machine learning capabilities provide deep insights for strategic decision-making, while its interactive reports and dashboards make complex data accessible to all levels of decision-makers.
As a web-based app, it supports collaborative work, enabling team members to access, share, and contribute to analyses from anywhere, enhancing productivity and efficiency in data-driven projects.
Omniscope Evo also allows for custom scripting in languages like R or Python, offering tailored solutions for specialised analytical tasks. This flexibility and extensibility make it an ideal choice for organisations looking to address complex data challenges.
Finally, Omniscope Evo offers a white-label licensing option, allowing organisations to create their own fully branded data applications, seamlessly integrated into their data stack. This enables businesses to enhance their branding while delivering personalised data insights, both internally and to external clients, reinforcing the platform's role as a key asset in data-driven decision-making and strategic planning.
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Question on: BIMachine
What is BIMachine used for?
What is BIMachine used for?
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BIMachine is a business analytics platform that provides insights for your entire organization. It is a tool that provides immediate access to strategic information to companies of any size or segment.
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visualizing and analyzing data
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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






















