How big is Big Data to the marketing research industry? We haven't seen this much zealotry and paranoia since Internet interviewing was first proposed or since FIFA abandoned the Golden Goal. As it turns out, Big Data is not such a big deal. We are worrying way too much about what it is, what it means, how to work with it, and who's going to do it. In this paper, we'll explain why Big Data is not such a big deal, why you shouldn't worry so much, and why you'll be just fine in the future.
Big data presents massive challenges but music, that great human universal, provides encouragement and inspiration amidst uncertainty. Rock musician Olly Nelken and researcher Will Goodhand will explore (and demonstrate musically) just how massive, messy and overwhelming the change has been throughout music's history. Examples such as the journey to the analogue synthesiser, and then to the advent of digital synthesisers show one vital element: the human one. 'First movers' steeped in music composition, like Jean Michel-Jarre, were able to seize moments such as the digital revolution. Was this a position much like market researchers are experiencing now? If we embrace a little mess and experiment a lot aren?t we the ones uniquely placed to seize the world of opportunities? If not,why not? And if so let's go do it.
Big Data is a hot, but ill-defined, topic in the business world. This presentation examines some characteristics and trends in the solutions that are now available in a relatively data rich environment. Additionally, trends in the availability of data and analytic solutions suggest the potential for a 'value of information' paradigm in the future.
Big Data is likely to radically change the consumer insights landscape. Commentators question the role of market research when so much data is readily available. Does market research have a role to play in this new environment? This presentation argues that whilst Big Data is likely to be transformative for the research industry, it also represents a huge opportunity. Marrying an in- depth knowledge of the consumer to data of unheard of breadth and depth can radically change the way in which we both measure and understand the consumer. The presentation proposes a new framework of thinking and techniques for the industry, turning 'Big Data' into much more powerful and insightful 'Smart Data'.
How big is Big Data to the marketing research industry? We haven't seen this much zealotry and paranoia since Internet interviewing was first proposed or since FIFA abandoned the Golden Goal. As it turns out, Big Data is not such a big deal. We are worrying way too much about what it is, what it means, how to work with it, and whos going to do it. In this paper, we'll explain why Big Data is not such a big deal, why you shouldn't worry so much, and why you'll be just fine in the future.
Big data presents massive challengesbut music, that great human universal, provides encouragement and inspiration amidst uncertainty. Rock musician Olly Nelken and researcher Will Goodhand will explore (and demonstrate musically) just how massive, messy and overwhelming the change has been throughout music's history. Examples such as the journey to the analogue synthesiser, and then to the advent of digital synthesisers show one vital element: the human one. 'First movers' steeped in music composition, like Jean Michel-Jarre, were able to seize moments such as the digital revolution. Was this a position much like market researchers are experiencing now? If we embrace a little mess and experiment a lot arent we the ones uniquely placed to seize the world of opportunities? If not,why not? And if solet's go do it.
The challenge of bringing together two seemingly contrasting worlds of Big Data and Qualitative Analysis is the focus of this presentation, which examines how the Big Data world of size, dynamic data, vastness trends, patterns and predictions can combine with a contrasting world of in-depth enquiry, causality and descriptions. How qualitative analysis can address data diversity and bridge the socio technical gaps that quantitative analytics (regressions/ algorithms/ models) cant address is illustrated. The need to adopt a new mindset, retain the quintessential research approach and suspend the Traditional Qualitative Agenda to analyse Big Data is addressed. Using technology solutions combined with traditional methods can deliver useful insights in real time for innovation teams in the emerging world.