Big Data represents the land of Milk and Honey, it’s the promised land of business insights, predictive modeling and better decision making. It is the garden of business intelligence where the fruits of all of our newly generated information is just waiting to be plucked from the tree, structured and made into a useful form.
That’s the idealized version. The truth of the matter is that raw data needs to be mined, wrangled and tamed to be useful. This often takes time, energy and resources. In fact, according to the New York Times:
“Data scientists, according to interviews and expert estimates, spend from 50 percent to 80 percent of their time mired in this more mundane labor of collecting and preparing unruly digital data, before it can be explored for useful nuggets.”
The amount of labor in data source mining and resources that must be devoted to subsequently performing data janitorial work makes unlocking its usefulness prohibitive for many companies.
Our platform does the hard stuff so you can get to the fun stuff. Ultimately, these libraries increase efficiency by saving your data scientist, time and energy.
By Barbara Bridges, Associate Counsel
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