The tasks of collecting and consolidating data from heterogeneous sources is extremely challenging given the need to cope with different interfaces, formats and semantics. Likewise, finding useful patterns and extracting knowledge from large volumes data requires quite tedious and time-consuming data mining processes.
Nevertheless, these challenging tasks won’t provide useful and actionable insights to enterprises, unless their outcomes are properly visualized. Therefore, enterprises need to invest on proper visualization techniques, which will deliver the extracted IAM insights in ergonomic and user-friendly ways to various end-user groups such as maintenance engineers, process engineers, plant managers and the business management of the enterprise.
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