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A Guide to Building Better Data Products

Juice Analytics

However, the data was essentially stored in old copies of the paper magazine, not a format that was conducive to delivering insights to their target audience. (3) Without this focus, a data product comes in the form of a massive 100-page PowerPoint deck or a collection of raw data tables. Just kidding!

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Must-Have AI Features for Your App

Sisense

Certain proven methods and use cases are invaluable in helping product teams understand how to implement AI in apps to reproduce and enhance existing successes. In fact, training metrics for these creditworthiness algorithms may bank on thousands of variables to generate an alternative credit score and also predict its own accuracy.

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Money for Something: Strategies to Get Buy-In to Fund Embedded Analytics

Sisense

And this is when you have a good data visualization solution to encourage more self-service analytics. Getting intelligence from data is often even slower, because users must request and wait for reports from their IT or data teams and hope they’re still relevant when they arrive. In short, access is clunky.