Remove Dashboards Remove Descriptive Analytics Remove Interactive Remove Visualization
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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

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Five Steps for Building a Successful BI Strategy

Sisense

Most companies find themselves in the bottom left corner, in the Descriptive Analytics and Diagnostic Analytics sections. You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent. Go Big, go data.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. Data visualization and visual analytics are two terms that come up a lot when new and experienced analytics users alike delve into the world of data in their quest to make smarter decisions.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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What Is The Difference Between Business Intelligence And Analytics?

datapine

Asking the right business intelligence questions will lead you to better analytics. While using a business dashboard, all your information can be simplified into a single place, making the time for meaningful decisions much faster. BI dashboards , offer the possibility to filter the data all in one screen to extract deeper conclusions.

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How to supercharge data exploration with Pandas Profiling

Domino Data Lab

Computing interactions of all features on a pairwise basis can be useful for selecting, or de-selecting, for further research. It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptive analytics in the name of business intelligence. Data visualization blog posts are a dime a dozen.