How Consumers Actually Responded to All Those Black Friday Ads [New Research]

Although Cyber Monday is described as the biggest online shopping event of the year, more than $7.4 billion in online purchases were made on Black Friday in 2019.
While a majority of Black Friday purchases happened online, a Fiserv study found that brick-and-mortar store purchases rose by 4.2% compared to 2018.

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Where Are NFPs Going Wrong with Their Advertising?

Although the aim is to support a good cause, ad effectiveness is not a given. Not For Profit campaigns, in fact, seem to struggle with long term growth. Through the System1 benchmarking tool we found that NFP ads in the UK and US usually score badly, with zero ads predicted to achieve 3% brand growth and over half predicted to achieve just 0.5% brand growth in the UK.

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Machine Learning Drastically Curtails Mobile App Development Mistakes

Machine learning is disrupting the mobile app development industry. Although mobile app developers have used machine learning in some way or another for years, they are finding new applications for it. Machine learning is particularly useful when it comes to avoiding many of the biggest mistakes that app developers make.

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“Redshift View Materializer” Now on Github

Although Amazon Redshift is a fantastic data warehousing product, it lacks several of the features available in other database systems. One such feature is materialized views, which are just what they sound like… views that have been pre-calculated and physically stored on disk for faster querying, and which are updated on request.
No, not that kind of View.

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You can replicate almost any plot with R

Although R is great for quickly turning data into plots, it is not widely used for making publication ready figures. But, with enough tinkering you can make almost any plot in R. For examples check out the flowingdata blog or the Fundamentals of Data Visualization book.
Here I show five charts from the lay press that I use as examples in my data science courses.

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