VINT Report Big Data 2 Big Social – Predicting behavior with Big Data
Since 2005, when the ‘Big Data’ concept was launched, Big Data has become an increasingly topical subject. In terms of technology development and business adoption, the Big Data field has undergone extremely rapid changes, and that is an understatement.
In Creating clarity with Big Data, the first of a total of four research reports, VINT offered an answer to questions about what Big Data actually is, where it differs from existing data classification, and how the transformative potential of Big Data can be estimated. The concrete adoption and plans of organizations are currently and primarily oriented toward the theme of Big Social we address here: basically the customer side, particularly inspired by the social network activity of Web 2.0. The data explosion is taking place all around us, but a major part of the discussion concerns the extent to which organizations should now plunge into Big Data. The answer is: only on the basis of a well-grounded policy. This certainly applies to privacy issues, which will be comprehensively covered in our third research report.
With four Big Data reports, VINT aims to create clarity by presenting experiences and visions in perspective: independently, and furnished with appropriate examples. But not all answers, by far, can be given. In fact: more questions will arise — about the roadmap that you wish to use for Big Data, for example. We have earmarked the fourth report for this task, dealing specifically with management and governance. And about the way in which you may be compelled to restructure your organization. And about the privacy issues that Big Data evokes, with regard to social analytics, for instance. And about the things new algorithms and systems will probably bring us.
|Authors||Erik van Ommeren, Sander Duivestein, Jaap Bloem, Menno van Doorn, Thomas van Manen|