Machine Learning

Prepare for the challenges of deploying machine learning for analytics

05th Jan `14, 09:27 PM in Machine Learning

The pressure to exploit analytics as a strategic advantage is increasing for an obvious reason: The economic future…

BDMS
Guest Contributor
 

The pressure to exploit analytics as a strategic advantage is increasing for an obvious reason: The economic future is becoming more uncertain, and the entire point of analytics is to manage uncertainty. But just as the uptake of business intelligence (BI) over the past decade had its learning curve and practical barriers, analytics also presents a set of formidable challenges to an enterprise that hasn’t yet invested.

Conventional analytics — which standard BI tools and many easy-to-use third-party packages enable — extend familiar measures and indicators along extrapolative lines that allow decision makers to look ahead or tighten the focus of well-known metrics to eliminate waste. That’s all useful, and readily within the grasp of most organizations, without much outside assistance.

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