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 comparison site MagnifyMoney …
Read Storyby 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 …
Read Storyby 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 …
Read Storyby 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 reading …
Read Storyby 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 …
Read Storyby 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 …
Read Storyby 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? …
Read Storyby 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 digital age …
Read Storyby 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 …
Read StoryA place for visualization veterans, analytics enthusiasts, and self-aware artificial intelligence to binge on all things data.