Big data is just messy. Clean it up with cognitive analytics.

Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today. The abundance of irregular and inaccurate data limits the analysis reliability engineers can conduct on data sets.

The resulting cycle of failure and maintenance plagues manufacturers with inconsistent data processes and limited resources available to correct historical data. In the age of big data, manufacturers must resolve data entry issues to achieve high-quality asset performance analytics that drive cost savings for organizations. One of the most traumatic events for any industrial organization is asset failure.

Author: Sarah Lukens


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