First published by Robb Heineman, FanThreeSixty, 4 Sept 2018.
Data is ubiquitous, but success apparently isn’t. Companies using big data strategies are running headlong into an 85 percent failure rate as a result of resistance from management, a lack of adequate training, and an inability to integrate the new strategies with existing business processes. Many organizations also fail to determine the proper key strategy drivers, and as a result, they collect all the wrong data.
While everyone knows how important big data is for business, without a clear business objective, companies are just collecting data for its own sake. Rather than blindly gather data, focus on the knowledge hidden within that data so you’re able to decipher which numbers matter the most. Establishing a standard data set with high fill rates can provide deep insights into what drives a business, while data that sits outside of the standard set doesn’t need to be prioritized unless the goal is a very specific result.
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