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December 2, 2019

Vizlib Monday Digest: Data – the right mix


Monday, 2nd December, 2019

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!)


Data visualisation reveals a glimpse of the weather on Mars. Thanks to the supercomputing abilities of Nasa, it’s possible to generate weather models not only on a global but also interplanetary scale. At their Mars Climate Modeling Center, scientists develop these data visualisations to understand the mysterious Red Planet’s climate system better. Read more here. 


Image credit: NASA/Ames Research Center/D. Ellsworth


Evolving self-service analytics with AI and Machine Learning. Business intelligence has transformed from an IT solution to self-service analytics with the advent of innovative BI tools like Qlik. Now, AI and Machine Learning are poised to take BI a step beyond and enable c-suites to get fresh operational data for immediate action. Read on here


Image credit: dqindia.com


The data strategy – a key driver of business value. A business’ data strategy provides the framework to get the best value from big data. Learn how to align your business and data strategy to drive cultural change in your organisation and business growth in this article. 


Trends in financial marketing you can’t ignore. Data and technology are changing the face of the financial marketing landscape. Trends like AI-led campaigns and the need for a marketing data manager are fast becoming prerequisites for businesses to maintain their competitive edge. Discover more here.  


Tech-geeks + fashion = an unusual mix. Technology is coming to the rescue in the fashion industry. With fashion waste or overproduction becoming a growing concern in the sector, the introduction of data intelligence is set to optimise the fashion value chain. Learn how disruptions, like introducing an Everything-as-a-service model can reduce waste, in this Forbes article


And, our Quote of the day takes a visual slant with an analysis of the most played Holiday hits, courtesy of this towardsdatascience.com article.

See any of your love-to-hate favourites?

Image credit: Jon Keegan

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