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Published on: June 17, 2013
Type of content: EGUIDE
Length: 13 pages
While many businesses recognize the value of leveraging predictive analytics to interpret data and leverage actionable insights, the majority of projects fail to yield a positive return on investment. The perceived complexity has slowed adoption of predictive analytics.
Consult this E-guide to examine key factors that contribute to the success or failure of predictive analytics programs. It outlines five critical things business intelligence (BI) and analytics professional are often overlooking, and there organizations are losing the value of analytics as a result.