Making Your Time-Based Analytics Fly Faster

YOUKO WATARI | December 13, 2018

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One of the most common, and arguably the most valuable, data element in any enterprise and integrated data warehouses, is time. Without time dimensions, your data lacks important context of when as well as sequence of events. In fact, analyzing data using time is quite important, so much so that we just do it naturally – even without thinking about it.  It’s evidenced by the fact that most analytics are bound by time - like hour, day, month, year, etc. Simply put: how often are you not using time in some fashion in your analytics? Though vastly important, dealing with and analyzing time-based data pose several challenges, especially in today’s world where organizations seek answers in an agile manner while taking advantage of massive influx of data due to the advancement of IoT. If you think basic analytics are hard, just wait until you start dealing with IoT data!

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