In today’s big data world, analytics play a critical role in delivering actionable insights that empower personnel to act decisively and confidently in any situation. Many organizations are embracing analytics, making it a cornerstone capability of their strategies. However not all analytics solutions are equivalent or appropriate for specific needs. Given that the stakes are so high, making the best solution and vendor choice is paramount to the success of any analytics initiative.
Batch versus real-time; descriptive versus predictive; small data sets versus large data sets; analyzing geospatial versus time series or temporal data; self-service and on-demand access versus offline jobs – these are just a few of the topics that enterprises and vendors alike need to address. Given all these choices and more, confusion is prevalent in the market because analytics is a generic term whose meaning differs by vendor, use case and business requirement.
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