It's becoming more common to see the terms analytics and data science used interchangeably. However, there is a difference that organizations have to understand, not only when hiring for their data science teams but in shaping their data initiatives.
One way to set data science apart is to consider the use of data that reflects the "Three V's" of Big Data, volume, velocity, and variety.
Adam McElhinney, director of data science at predictive analytics company Uptake, joins All Analytics Radio to discuss how those Three V's set apart a data science project. McElhinney, formerly head of business analytics and marketing analytics for Enova Financial, has deep experience in business analytics, credit modeling and credit scoring, consumer finance, business development, performance optimization, strategic planning, and statistical analysis.
Tune into All Analytics Radio at 2 pm (EST) on Monday, November 23, to learn how you can take your analytics initiative to the next level by utilizing those key elements of Big Data: volume, velocity, and variety.
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Visualizations help communicate the meaning behind analytics to a variety of users. Now virtual reality is taking that a step further.
You've heard all about the data science talent gap that McKinsey cited in 2011, but there's a lot more -- including new information -- that you need to know about McKinsey's ongoing research. Learn more Thursday on All Analytics Radio.
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Understanding retail customers means knowing what they will want and when they will want it. To deliver that, retailers must be able to see customer behavior across physical stores, the web, mobile apps, and more.
Chatbots, AI, virtual reality, machine learning, and more will be featured as leading edge technologies for retailers attending the NRF Annual Convention and Expo in New York City. But many retailers are still getting their arms around advanced analytics.
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