Big Data & Market Research – Distant Cousins or Siamese Twins?

November 11, 2013

I recently attended a 2 day Big Data Summit conference in Sydney, run by Innovation Enterprise. From the show of hands, I was one of two market researchers among the 150 strong audience.

There a number of roles and opportunities for market researchers to play in this arena as from the quality and content of the presentations, it is clear Big Data is here stay, can only get ‘bigger’.

The retail, banking, and utilities sectors were well represented (fmcg was conspicuous in its absence) as was the Government sector with the Australian Bureau of Statistics, CSIRO, and the State of Queensland. The attendees’ profile, based on skill sets, was similar to an MR audience for a similar event but with a quantitative bias and an average age around 8-10 years younger.
big data 3 needs

Sportsbet’s Tony Greubner’s succinctly described 8 factors that would drive future of Big Data. His first three, the variety of sources, proscriptive analytics, and increased scope of application are perhaps the most pertinent (with no 6 “Geek is the new cool” being a favourite with the audience). Tony also highlighted three skill sets in short supply (see picture above) and here is where those with solid MR expertise could contribute. Read On..>

Facial Imaging: The “Big-Data” Solution for Emotion Research?

September 2, 2013

We are entering an era where, thanks to technology like facial imaging, “soft-data” on emotions – traditionally the province of qualitative studies or smaller scale specialised surveys –  will become “big-data” that provides very hard results.

Facial Imaging Embeded & Automatic: nViso API in Cinemax site - 1 million views and counting

Facial Imaging Embedded & Automatic: nViso API in Cinemax site – 1 million visitors and counting

At first glance facial imaging (or “facial coding”) seems like just another variant of Neuroscience testing, but in fact it has some very different features. In earlier posts we’ve written extensively on the results obtained from this technology (e.g. see “Soft-Drinks, Soft-Sell“), but in this post I want to get across the point that the really big news is not so much how well facial imaging measures emotion, but how many people and how much emotion can be measured.  This makes it fundamentally different from hardware dependent methodologies like EEG or conventional survey based methods. Two thought experiments for market researchers might illustrate: Read the rest of this entry »