by Ben Richey, on June 30, 2016

For all the loyal followers of our blog, you might remember that a few weeks back we wrote a short post that highlighted a new study published by financial product …

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Topics:Data Science

by Kayle Simpson, on June 28, 2016

In a recent study by Cisco called the "Roadmap to Digital Value in the Retail Banking Industry," researchers found that financial institutions, such as banks and credit unions, who don't …

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Topics:Data Science

by Chris Bond, on June 23, 2016

A few months ago we hacked together a device using a Raspberry Pi to measure our office coffee consumption. Well, the non coffee drinkers of the office started to get …

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Topics:Data VisualizationCulture

by Kayle Simpson, on June 21, 2016

If you do a quick Google search for "what is a data lake" you'll likely find this result from TechTarget: While this definition does address this, my initial thought when …

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Topics:Data Science

by Pat Lapomarda, on June 16, 2016

Question: "I work with a younger colleague interested in a career path as a data scientist. Is there any guidance or resource that you can suggest that I can provide …

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Topics:Data Science

by Kayle Simpson, on June 14, 2016

Last week we talked about a study that shows that the fastest growing credit unions are the most digitally capable, and the least tech savvy credit unions are losing assets …

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Topics:Data Science

by Kayle Simpson, on June 9, 2016

In today’s modern marketing world, things change extremely quickly. One day Google changes SEO parameters, the next day a new social media app goes viral. How do you keep up? …

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Topics:Data Analytics

by Kayle Simpson, on June 7, 2016

A new study by financial product comparison site MagnifyMoney shows that credit unions that offer fewer digital services and use antiquated tech are losing assets, while those who’ve embraced the …

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Topics:Data Science

by Kayle Simpson, on June 2, 2016

Whether you’re a total data newbie or a seasoned professional looking to branch out, we’ve gathered a list of resources to learn about different aspects of the data industry with …

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Topics:Data Science

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