Managing Data Chaos with Agile Analytics
June 22, 2016
If we examine the root cause of the IT organization’s pain, it continues to be the inability to integrate data from many disparate and operationally focused systems. A recent survey found that only 18% of the respondents had extensively integrated their analytics initiatives across operations and realized their objectives, which pointed to the diversity of data sets and formats and poor data quality. Indeed, data integration is causing the analytics burden to be placed on IT professionals.
Building Better Business Outcomes with Analytics
This doesn’t have to be the case. According to Gartner, providing insights to many parts of the organization—including operations—is the role of the next-generation analytics platform that will inevitably lead to IT transformation. Solving the data integration problem first, and with the correct platform, allows IT to arm its internal customers with self-service analytics and insights. This positions IT as a strategic player for building better business outcomes for the organization. It also allows organizations to experiment, fail, iterate, and succeed at their own pace, and according to their respective metrics. Solving the data problem alleviates the IT burden of providing analytics to everyone.
Overcoming the Data Integration Challenge
Solving the data integration challenge is the foundation of an analytics strategy and platform. This is especially true if the goal is to decentralize analytics from the IT organization closer to the operational end users. The integration platform must be versatile in ingesting any data type from any data source of any quality level. Bringing in data as it comes in real time and at scale, while integrating even the most complex data sources to gain operational efficiency, is the goal.
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