#MRX Top 10: Big Data with a Little MR

Of the 6,024 unique links shared on the Twitter #MRX hashtag over the past two weeks, here are 10 of the most retweeted…

 

By Jeffrey Henning

Of the 6,024 unique links shared on the Twitter #MRX hashtag over the past two weeks, here are 10 of the most retweeted…

  1. 10 Most Successful Big Data Technologies – The Forrester Research report, TechRadar: Big Data, Q1 2016, places 22 Big Data technologies on a growth curve, assessing those with the most potential. In terms of generating business value added, Forrester rates MPP data warehouses the highest, followed by predictive analytics and data virtualization.
  2. Big MR – From Big Data to the Big Picture – In this Online MR interview with Darren Mark Noyce, founder of Skopos London, he says, “Data scientists have to ensure … they are uncovering new facts and insights, or describing behaviours that could be interesting and useful to decision-makers in firms, and are able to communicate them well, or the power and the magic will be lost. Market Research has a true tradition and heritage in providing such flexible impactful insight solutions, delivered to decision-makers in an actionable trusted way. Can Big Data do this on its own? Perhaps we should work together? Big MR anyone?”
  3. Pokémon Go: Gamification Lessons For Research – Jason Anderson, president of Datagame.io, beat me to the punch with his take on Pokémon Go, providing six reasons that it has been so successful. Sadly, traditional MR played little role at Niantic Labs, its publisher.
  4. Transformation IQ – Jeff Resnick’s free ebook, Transformation IQ: Reinventing Your Business to Capitalize on a Changing World, provides profiles in the courage of transformation, through conversations with CEOs of 11 MRX companies.
  5. What Clients Want: 3 Key Aspects of the Best Research Reports – Kimberley Bell, writing for FlexMR, argues that the best research reports interpret the data, provide clarity rather than minutiae, and discuss the implications of the data.
  6. Partnering With Data Scientists: How Market Researchers Make the Most of Big Data At LinkedIn – In an interview with Sally Sadosky and Al Nevarez of LinkedIn, Marc Dresner focused on how market research has changed with the availability of Big Data. “At LinkedIn because we are able to look at the behavior of the members, we are able to do a lot more research in advance – looking at behaviors, looking at trends, testing hypotheses. When we actually talk to members, either through quantitative surveys or qualitative methods, we can really focus our questions… Our surveys tend to be a lot shorter, which is great for response rates and completion rates.
  7. A Model for Predictive Measurements of Advertising Effectiveness – Writing for AMA, Matt Weingarden of Curator Research discusses the 1961 Lavidge-Steiner model (the classic funnel):

funnel

  1.  How Consumers Buy Brands: The New Decision Journey – Graham Staplehurst of Millward Brown discusses the shift from such a consumer purchase funnel to a decision cycle:

cloud

  1. The Definition of Happiness Changes as You Age, According to Science – If you’re old enough, this article may make you happy.
  2. Before MR, Surveys Made for Fun Parlor Games – Writing for Quirks, Mike Boehm discusses when surveys were so engaging that Karl Marx, Paul Cezanne, Oscar Wilde, and Sir Arthur Conan Doyle took them.

 

Note: This list is ordered by the relative measure of each link’s influence in the first week it debuted in the weekly Top 5. A link’s influence is a tally of the influence of each Twitter user who shared the link and tagged it #MRX, ignoring retweets from closely related accounts. Only links with a research angle are considered.

Share
You can leave a response, or trackback from your own site.

Leave a Reply

*

%d bloggers like this: