Jon Bock

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It's hard to find anyone, from cutting-edge technology services to venerable enterprises that have been in the same industry for generations, who doesn't agree that data is critical to their success. But less discussed is the surprising, and frankly embarrassing, reality that far too often data analytics projects are failing to meet expectations. What is behind that reality? How often do projects fail, what causes them to fail, and what opportunities hold promise to change that? What barriers prevent better outcomes to data analytics initiatives? A recent survey provides some insights. First, it's important to note that claims about the importance of data analytics are not simply hyperbole. According to a recent Dimensional Research survey of key data decision makers, when asked about the criticality of data analytics, all technology and analytics stakeholders say t... (more)