Remove Diagnostic Analytics Remove Metrics Remove Reference Remove Visualization
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets.

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What Is Embedded Analytics?

Jet Global

Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning.

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Birst Named to Constellation ShortList™ for Cloud-Based Business Intelligence and Analytics Platforms for 4th Straight Time

Birst BI

The user can’t be assumed to be an internal user who can be trained, so intuitive visualization and interfaces are a must.”. Consistency comes from a unified semantic layer, which maintains common definitions and key metrics, no matter where users sit. Mobile reporting, visualization, analysis.