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    Big Data Comes with Big Challenges

     David Moschella
    David Moschella
    Posted On: 01/11/2011
    Category: Research and Market Commentaries

    If you Google the term big data, you will get over 5 million hits. While this figure is nowhere near top-tier buzzwords such as social media (320 million), it is about the same as credit default swaps, and nearly five times that for predator drones. The potential value in analyzing large, and increasingly unstructured, data sets has clearly resonated with the business press, IT suppliers and a growing number of customer organizations.

    "If I'd asked my customers what they wanted, they'd have said a faster horse."
    – attributed to Henry Ford

    "If you can't measure it, you can't manage it."
    – Peter Drucker

    "Not everything that can be counted counts, and not everything that counts can be counted."
    – Albert Einstein

    But as the three quotes above suggest, even great minds can have very different views regarding the relative importance of factual information, and the tension between data and intuition has always been with us. The career of Steve Jobs shows that trusting one's own judgment, instincts and aesthetic sense is often the best way to pursue breakthrough innovation. That's why he has been so frequently associated with the Henry Ford quote (even if there is no evidence that Ford ever actually said it).

    Of course, most of us don't pursue breakthrough innovations very often; we are mainly focused on getting better at what we do. When improvement is the goal, information can be invaluable and Drucker's view rules. Using data to improve measurement and management is the main purpose of the big data movement. (We'll get to Einstein's quote later.)

    From an LEF research perspective, there have been two recent big data developments that we want to call attention to in this commentary. First, our sister organization, the LEF Technology Programme has released The Data rEvolution, its 75-page survey of the big data opportunity, highlighting today's impressive range of data-intensive technologies, applications and future possibilities. This report is now being distributed to LEF Executive Programme clients. Second, we recently held a research focus group in London on the relationship between IT and Marketing, where the great majority of the participants agreed that their firms are struggling to become truly data-driven. Apparently, the gap between the promise and the reality of big data usage is still wide.

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    • The Changing Nature of Work
    • The Consumerization of IT
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      • Consumerization success stories emerge as the key theme of recent LEF conferences
      • Our Consumerization Timeline Shows We're Less Than Halfway There
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      • The Emerging 'Double-Deep' Employee – Are CXOs Keeping Pace?

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    1. 11/05/2011 @ 06:59 CDT

      Michael Nelson says:

      While much of the discussion about Big Data has been about creating new services for customers (e.g. Amazon book rankings) or monitoring your business (e.g. the US government's new performance dashboard), I think one of the most exciting things about Big Data and analytics is how they allow us to combine unrelated databases to reveal new correlations or phenomena, which means we can use data collected for one purpose in many more ways. This is happening in both academic research and in businesses. My brother-in-law is a marine geophysicist who studies earthquakes beneath the sea floor off the West Coast of the United States. He noticed high-frequency "noise" in the data from his array of ocean-bottom seismometers and wondered what was causing it. He noticed it seemed to shift from one part of the array to another. The source of the noise seemed to be in the ocean--not the rock below. He started comparing the patterns to ship traffic but finally realized he was recording whale calls. He now has a major grant to track whales with his earthquake data.
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