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…
Master Data Management Strategy: 3 Essential Components
Every data point that your company has at its disposal can either be an asset or a liability. When used in a well-planned master data management (MDM) strategy, the records you collect and associate with patients, clients, or customers become actionable metrics that can spur growth. However, if your data…
What’s Most Important in Entity Matching and Record Linking?
Entity matching tools are essential for a robust data governance program. This software simplifies your data by linking duplicate entries and drawing your attention to semantically equivalent records—those that are identical if not for a spelling mistake or abbreviation that would otherwise create two entries. Record linking software is particularly…
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…
3 Key Issues Compromising Optimal Data Quality in Healthcare
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…
Moving Beyond Customer Matching to Business and Product Data
Here at Black Oak Analytics, we enjoy nothing more than a good discussion on the configurability of our HiPER software, and how it can match data without traditional attributes such as name and address. We enjoy talking about this because so many entity resolution engines and master data management solutions…
Black Oak Analytics Hosted HiPER Training At UALR’s Institute for Chief Data Officers
On September 29, 2016, Black Oak Analytics hosted a hands on HiPER training at UALR’s Institute for Chief Data Officer’s (iCDO) first offering of Course CDO-1: Foundations for Chief Data Officers. The first three days of training included lectures on essential knowledge for CDOs including current research, data technologies, data…
Black Oak Analytics Joins Client Roster for Tech Futures Group
Black Oak Analytics is proud to announce that we have been selected to join the client roster of Tech Futures Group (TFG), a business development organization based out of California whose goal is to help technology companies grow and thrive. TFG’s focus is to help new and growing businesses within…
Black Oak Analytics Recognized as a Top 100 Most Promising Data Solutions Provider
CIO Review Cites Black Oak Analytics in its Annual List of Companies at the Forefront of Big Data Solutions Black Oak Analytics is the only Arkansas-based company named to CIO Review’s Top 100 Most Promising Big Data Solution Providers of 2016. CIO Review is a technology magazine focused on enterprise…