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Vizlib Monday Digest: Dive into the right data

Vizlib Monday Digest: Dive into the right data

 

Monday, March 9th

The Vizlib Monday Digest is a summary of recent articles about how data changes our lives. We’re sharing it with you to supercharge your week! (Feel free to share your comments!)

 

Saving millions with the right data analytics approach. Data analytics should add value to your business. But, without using the best method, it could cost time and money without producing effective results. Direction from the board alone may not be sufficient, for instance. Discover what’s recommended to create value from your analytics in this Harvard Business Review article

 

Closing the gap between data scientists and data engineers. Getting the most from data requires data scientists and engineers to work closely together.  Their complementary skill sets, leveraged in concert, should speed up the time to insights. Read on in this Analytics Insight article.

 

If you’re looking for more practical solutions to leverage data skills, check out our blog on effective collaboration with the data team

 

Vizlib Collaboration 

 

Should emotional analytics be the judge? Emotional analytics is beginning to feature in the recruitment process of US companies, but is it an ethical approach to selecting candidates? Practitioners employ this advanced analytics to get a better understanding of a candidate’s personality and employability through neuroscience-based video games, for instance. Discover more on this emerging and contentious tool

 

Small businesses winning with data analytics. Not only large enterprises are leveraging analytics to create greater value. Small businesses can also experience benefits like improving customer experience and identifying and forecasting trends to increase optimisation. Read more in this article

 

Lastly,  a fresh perspective on the absurdities of everyday life in dataviz.

Image credit: Matt Shirley

 

And, finally, our Quote of the day

“…the approach that works best: Identify a small number of ‘high-leverage’ business problems that are tightly defined, promptly addressable, and will produce evident business value, and then focus on those to show business results. There’s no substitute for business results to build credibility for data analytics and sustain commitment.”  

Tom O’Toole, Director of the Program for Data Analytics at Kellogg and clinical professor of marketing, Kellogg School of Management at Northwestern University. 

 

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