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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. |
