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Five years ago, end users were thrilled to get basic dashboards in standalone tools. But over time, more modern analytics capabilities have emerged—and bare-minimum features are no longer enough.
How have analytics changed over the years? And where do your BI offerings fall on the maturity scale? You’ll learn:
Find out what sophisticated capabilities will future-proof your application. |
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Why do some embedded analytics projects succeed while others fail? Many application teams don’t realize that the features they embed and how they develop them have a lasting impact on revenue, customer retention, and competitive differentiation.
We surveyed 500 application teams embedding analytics to find out what separates successful projects from failed ones. In the 6th annual State of Embedded Analytics Report, you’ll learn:
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Many companies put analytics projects on the back burner for so long they eventually fall off the “analytics cliff.” They see minor indicators of trouble—such as declining average sales price or increased customer churn—and assume they’ll continue to be incremental. Plenty of time to implement a different service pack and address analytics in the next release, right?
Wrong. It’s not a slow decline, it’s a cliff. And application teams risk falling straight off it. Fortunately, if you know what to look for you can act quickly to avoid a catastrophe. Companies that are approaching an analytics cliff will pass clear indicators before they fall. This eBook outlines the five most common indicators your embedded analytics are failing you. |
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