Five big data predictions for 2013

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My predictions for "big data" in 2013 were recently published in the Fourth Quarter 2012 issue of Loyalty Management Magazine, and I wanted to share them here too:

  1. Streaming data from gadgets, cars and other devices will become an even bigger and more important data source.
  2. Social data will be used to make important business and policy decisions, not just for marketing and sharing information with friends
  3. The industry will better distinguish between big data BI and big data analytics.  Neither is better than the other; but, companies will need to understand which is best suited for their business.
  4. A Hadoop cluster will become considered a core element of a company’s "analytics platform"
  5. NoSQL people will acknowledge the utility of a general purpose table-oriented query language, and SQL people will agree that relaxing some tenets of the relation model can bring huge advantages to other dimensions of data management problems.

The magazine wasn't sure what to bold in that last statement and neither am I, actually, so I'll leave it as it stands. If you have any bold predictions for the year, let me know here or on Twitter.

Learn more from SAS "big data" experts in this special 32-page report on high-performance analytics.

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About Author

Paul Kent

Paul Kent is the Vice President of Big Data at SAS. He coordinates with customers, partners and R&D teams to make sure the SAS development roadmap is taking world-class mathematics to the biggest baddest problems out there. Paul joined SAS in 1984 as a Technical Marketing Representative and eventually moved into the Research and Development division. He has used SAS for more than 20 years and has contributed to the development of SAS software components including PROC SQL, the WHERE clause, TCP/IP connectivity, and portions of the Output Delivery System (ODS). A strong customer advocate, Paul is widely recognized within the SAS community for his active participation in local and international users conferences.

1 Comment

  1. Faye Merrideth
    Faye Merrideth on

    Glad you're writing blogs and interviewing for articles, Paul! I look forward to uncovering more opportunities for you to share Big Data insights with others.

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