Jenny Schultz has been with Freddie Mac since 1998. “We have tried to do the ‘data thing’ more than a few times, driven by IT, but it never stuck because the business didn’t see the value in leveraging their data and managing and governing it,” she said during her DATAVERSITY® Enterprise Data World Conference presentation […]
What I Learned About Data Quality from Building Cheap Furniture
Click to learn more about author Kevin W. McCarthy. I’m a Data Quality guy, and I do it because I love it! That sounds incredulous, but it’s true. I didn’t always love it, but over three decades I’ve learned the thrill of investigating a data issue down to its root cause like Sherlock Holmes. There […]
Solving Knowledge Graph Data Prep with Standards
Click to learn more about author Dr. Jans Aasman. There’s a general consensus throughout the data ecosystem that Data Preparation is the most substantial barrier to capitalizing on data-driven processes. Whether organizations are embarking on Data Science initiatives or simply feeding any assortment of enterprise applications, the cleansing, classifying, mapping, modeling, transforming, and integrating of data […]
Western Digital Unveils the Future of Data Infrastructure
A new press release reports, “Western Digital Corp. today unveiled a comprehensive set of open standards, architecture and products to address the ever-increasing demands of high-scale private and public cloud data centers. In addition to introducing new OpenFlex™ architecture and product line, the company announced its plans to deliver an application programming interface (API) and […]
Case Study: Using Data Quality and Data Management to Improve Patient Care
Mismatched patient data is the third leading cause of preventable death in the United States, according to healthIT.gov, and a 2016 survey by the Poneman Institute revealed that 86 percent of all healthcare practitioners know of an error caused by incorrect patient data. Patient misidentification is also responsible for 35 percent of denied insurance claims, […]
2017 Predictions for Data Quality and Data Governance
The need in Enterprise Data Governance is to identify, develop, and structure organizational goals, governance practices, roles, and responsibilities for maximizing the earned benefits from those efforts. Global enterprises can no longer afford to procrastinate on possible Data Quality control approaches; they have to act now. In fact, Gartner warned that by the end of […]