Analytics: Managing Data Chaos

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Analytics is becoming increasingly important for industrial companies. With good results too – a simple and brief web search on the topic will reveal case after case of $1 million plus in cost savings. On the other side of that coin is the burden traditional approaches have taken on IT organizations.

If we examine the root cause of IT organization’s pain, we can see that time and again that it is the inability to integrate data from many disparate and operationally focused systems.

A recent survey1 found that only 18% of the respondents had extensively integrated their analytics initiatives across operations and realized their objectives, and pointed to the diversity of datasets and formats and poor data quality. Indeed, data integration is causing the analytics burden to be placed on IT professionals.

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