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Case Study: Feeding America Takes on Project to Standardize Data and Improve Data Quality

Feeding America is a domestic-hunger relief charity with a nationwide network of close to 200 member food banks that work together to provide food to more than 46 million people through 60,000 food pantries and meal programs. It secures donations from national food and grocery manufacturers, retailers, shippers, packers, growers, government agencies and other organizations. […]

It’s Time to Build a Cohesive Data Strategy

George Yuhasz is helping businesses to innovate in another direction: building a rich Data Strategy by holistically and concurrently bringing together analytics, Data Governance, and Information Architecture. As U.S. Director, Business Intelligence and Data Services, he launched the Data Strategy at the global food services enterprise. It’s been a job of optimizing people and processes, […]

Case Study: Crown College Uses Predictive Analytics to Retain At-Risk Students

Crown College in St. Bonifacius MN embraced a five-year persistence and completion project four years ago. The college’s Presidents’ Cabinet embraced persistence and completion as an improvement initiative to retain at-risk students and the school had been accepted into the Higher Learning Commission (HLC) Persistence and Completion Academy. HLC accredits colleges and universities in a […]

Case Study: Polaris Puts Data Analysis in the Service of Defeating Human Trafficking

Human trafficking is believed to be the third-largest criminal activity in the world, according to the FBI. The Department of Homeland Security advises that industries around the world including agriculture, hospitality, restaurant, and domestic work, as well as prostitution, often take advantage of modern slavery. Those pulled into this underworld are often held in isolation […]

Data Quality’s Importance to Blockchain

What’s the connection between Data Quality and Blockchain? Dan Myers, principal information quality educator at DQMatters and the publisher of The Conformed Dimensions of Data Quality — which seeks to align the Data Management community by using common definitions — addressed the issue during his Enterprise Data World Conference presentation titled “Improved Data Quality Implications […]