Читать книгу Decision Intelligence For Dummies - Pamela Baker - Страница 25

The business world has long been madly in love with the notion of being a data-driven enterprise, but it's also beginning to feel the pain of being in a bad relationship. Few actually want to break off their relationship with data entirely, mainly because most are loathe to ditch their significant investments in data, analytics, and related technologies. Add to this the fact that, for many, it would feel like a colossal failure and a huge embarrassment to fall short of becoming the data driven enterprise that all investors and stockholders expect these days.

Looking for a way forward, many started to ask themselves this question: “What can we do with all the data investments we've already made and already own in order to make better decisions?” In other words, folks realized that a rethink was needed rather than a redo. And many of those same folks decided that re-strategizing and restructuring how these same investments are used and aligning them with specific business impacts was the answer to the questions that had been plaguing them.

A decision intelligence approach doesn’t mean that there’s no place for more traditional data mining tactics. Most organizations are using a combination of both, and it’s already proving to be a winning play for many of them.