Master data management (MDM) is a clear necessity in the healthcare industry—accuracy is paramount where health is concerned—but that does not mean that just any MDM system will do. There are two types of data management in healthcare: identity data, which looks at patient and provider information, and reference data,…
Why We Aren’t Writing a ‘2017 Big Data Trends’ Think Piece
Moving Past Trends If you are looking for theory and conjecture concerning your data, you can find it quite easily. There is no shortage of people claiming to know the “latest big data trends of 2017.” But do they really help you in moving forward with your data in 2017, or will…
Do You Know How Many Customers You Really Have?
Without proper customer master data management, it can be difficult to determine the scale and type of client that you have or that you wish to acquire. One of the major problems with tracking customers is trying to determine how to improve poor data quality: without data that is clean…
How Resolving Customer Entity Data Can Revolutionize Customer Service in the Banking Sector
Financial institutions have always prioritized long-term relationships with their customers. Taking the time to understand who a client is and what their banking needs are has served as the cornerstone of an outstanding customer service experience for decades. However, these relationships are quickly becoming more complicated. The banking sector has…
The Biggest Problem in Data Quality Management Today
As data-driven companies attempt to create a single view of customer interactions across a wide variety of platforms, many chief data officers are encountering a serious data quality management problem. The three components of master data management (MDM)—entity resolution, entity identity information management, and master data systems of record—must work…
Do You Know How Much Bad Data Quality Is Costing Your Company?
Just as high-quality data can propel your company to greater financial success, low-quality data can take a significant toll on your bottom line. According to a recent Experian report on data quality, 95% of companies say they use data to improve business operations, while 91% believe that bad contact data results in…
Black Oak’s HiPER: Data Quality on Big Data
Black Oak recently did two things: We sent our CSO Dr. Talburt to the White House to participate in a round table of 80 industry thought leaders who were discussing how to improve data quality in open data. We also just published a blog about how Collection is Not Enough;…
Dr. Talburt Is Heading to the White House
On Wednesday, April 27, the White House Office of Science and Technology Policy and the Center for Open Data Enterprise are co-hosting an Open Data Roundtable on Improving Data Quality and they have invited Dr. Talburt. This discussion is the second of four Open Data Roundtables being scheduled this year,…