Many analytics projects stall or fail because of avoidable missteps.
Engineers go into a project thinking their data is high quality and ready for analysis when it is anything but. Or they think that data analysis is all that is needed, when the operational process for action on that data is just as important.
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The right approach to analytics improvement requires a problem solving attitude and following best practices to ensure success. This white paper provides just that: an actionable guide that will leave you truly ready to begin (or improve) analytic projects.