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How to Design Better Dashboards: a Visual Guide

Sisense

Better dashboards, better decisions. A well-constructed and organized dashboard empowers users to make better data-driven decisions. But how can you recognize readability issues in your dashboards while you build them to avoid wasting time and endlessly redoing your work? Pitfalls of a disorganized dashboard.

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The Enterprise AI Revolution Starts with BI

Jet Global

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

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The Future of AI in the Enterprise

Jet Global

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

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Five benefits of a data catalog

IBM Big Data Hub

Meanwhile, the company’s IT teams could optimize their time by focusing on other important workloads. Comprehensive search and access to relevant data. Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information.

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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

I'm excited about the power of a well created dashboard. Dashboards are every where, we will look at a lot of them in this post and they are all digital. Here's a great dashboard, for the Museum of Art… take a minute to ponder it… Isn't it pretty awesome? They are data pukes. Still a data puke.

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The Future of AI in the Enterprise

Jet Global

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. However, none of these layers help with modeling and optimization. Model Operations.

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