How many clients data management

Do You Know How Many Customers You Really Have?

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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 and accurate, a company faces communications bottlenecks that can eventually …

How Resolving Customer Entity Data Can Revolutionize Customer Service in the Banking Sector

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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 experienced incredible change fueled by technology and the data customers …

improving data quality, cost of poor data quality

Do You Know How Much Bad Data Quality Is Costing Your Company?

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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 wasted revenue. When you realize the cost of poor data …

data quality in healthcare

3 Key Issues Compromising Optimal Data Quality in Healthcare

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With an industry that has experienced rapid and dramatic changes to its systems and processes, evaluating data quality in healthcare is more critical than ever before when it comes to improving patient care and reducing costs due to waste and fraud. Rising healthcare costs coupled with the increasing complexity of data systems make the implementation of master data management tools …

analyzing information quality

Quality vs Quantity: What Matters Most in Analyzing Enterprise Data?

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By Dr. John R. Talburt In academia we say both quality and quantity are equally important to enterprise data. In business we would say, “It depends.” However, the real answer is that this is a false choice like the question of “what happened to the missing dollar?” in the bellboy story. According to the fundamental principles of analyzing information quality, …