Bob Lederer RFL Communications, Inc.

The Time Has Come For “Insights Optimization” / RBDR

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July 20, 2021

Today on RBDR: Data science expert Bill Schmarzo originated the phrase, data optimization in 2013. But technology and times have changed the research industry and Schmarzo decrees it’s time for the phrase to evolve into “Insights Optimization.” (Link to Schmarzo’s blog with Insights Optimization details: https://www.datasciencecentral.com/profiles/blogs/it-s-insights-monetization-not-data-monetization)

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Bob Lederer RFL Communications, Inc.

Changing Conditions Force MRers To Develop New Mindsets | RBDR

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June 6, 2019

Today on RBDR: In order to prolong an internal position for the market research function and to build on their contributions, 40-plus year researcher Larry Friedman says professionally-grounded market researchers have to develop a new research mindset in line with business’ vastly altered requirements.

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Bob Lederer RFL Communications, Inc.

Data Science Squanders Value In Confirming, Not Yielding MR Answers

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April 10, 2019

Today on RBDR: Real Clear Media’s Kalev Leetaru is the author of provocative blogs about issues he has about data. In his latest blog, he discusses the greatest failure of data science: the devolution of data and statistics from genuine searches for answers into just another tool that support answers which researchers already have.

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Chris Clow RBDR

Report Confirms Huge Demand for Data Scientists | RBDR

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October 22, 2018. Today on RBDR:

The World Economic Forum “Future of Jobs” report emphasizes the huge short-term need for data scientist skills. It’s not a new revelation but does dredge up the issue of what the research industry is doing to help businesses meet those employment demands.

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Bob Lederer RBDR

Ways for Traditional MRers to Regain Corporate Standing | RBDR

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April 23, 2018. Today on RBDR:

Bill Harvey suggests multiple ways that traditional corporate researchers can regain some of their stature inside their companies by picking up the ball and explaining the “whys” behind data scientists’ appreciated work.

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