With the advent of self-service analytics platforms such as IBM Watson Analytics, data scientists, data analysts and even ordinary business users can turn their data into intelligence that drives decision-making and delivers business value. As a result, a world of new opportunities, once hidden beneath a debris of datasets, has emerged.
However, to yield maximum ROI from Watson Analytics’ capabilities, organizations must feed their data into it in a structured, analysis-ready format. The process of collecting, manipulating and blending data from a variety of sources and preparing it for analysis is known as data preparation, and research has found that analysts spend up to 80 percent of their time manually preparing data, which doesn’t leave many hours in the day for analysis.
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