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Big Data, Small Data, and all the Data in Between

Think Tank - 4:05 pm - 4:30 pm

Increasingly over the last several years the term Big Data has become prevalent, to the point that it is invariably all anyone thinks of when data is mentioned at all. Often what we think of when we use the term Big Data is actually unstructured data " all the new data forms that enterprises have never collected before and are being overwhelmed by the possibilities of. But big/unstructured data is by no means the only data enterprises have and core structured or small data is often still the most relevant and valuable data an enterprise owns. As we collectively push forward into a more analytics-centric and therefore data-centric world what we need is a considered all-data strategy, one that incorporates big data, small data, master data, and meta data.

Takeaways:

  • While Big Data is valuable, so is the rest of the data that an enterprise owns and consistent focus must be applied to all data forms and types
  • A holistic data strategy that considers and the balances the needs of all data structures, types, needs, uses, and owners is essential for efficient and effective data operations
  • For business that have not yet invested in Master Data Management, such a program is the ideal foundation for building a comprehensive data program