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Know the Difference Between Analytics for GAIN, and Data Processing Costs for the Sake of Data Analytics

Why do most projects to increase the analytical abilities of an organization generally end up just being a rush to build costly data processing infrastructure? Because manufacturing insight is hard! Because manufacturing insight is based on more work to sift through false positives than true finds. And in the end the project managers simply push on to the simple stuff, and let the chips fall where they may after they have built a data warehouse, after they bought presentation and analytical tool sets, etc. How are you approaching analytics, and why? Let’s discuss steps towards real return, before you are underwater.

Concepts:Budgets, best leaders, strategies embedded, tactics fluid, non-transactional data analytics, content that feeds both internal and external actors, etc.

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