When Premium Patient Care Comes Down to Data Quality

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Providing premium patient care is as much about providing sound medical information, diagnosis and treatment as it is about data quality. When data quality management is lacking, there are issues that may call data integrity into question. In this respect, data quality management is a best practice that any modern health organization needs to implement, especially with regard to any …

master data management consulting, master data management strategy

The Top 5 Questions We Get Asked the Most About Master Data Management

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If your company collects data about your customers, your sales, or your marketing efforts, master data management (MDM) should be on your to-do list. Challenges like security leaks and imperfect MDM systems are probably holding you back—but if you are not sure how to manage your data, here are answers to the top five questions we hear when it comes …

MDM in EHR

5 Critical Components of MDM in EHR

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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, which focuses on order sets like procedure codes. There are …

how can you know if HiPER is right for you

How Can You Know if HiPER Is Right for You?

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Choose Right Proprietary Data Management System Today, implementing the right clinical data management solutions is critical. But how do you know what those are? High Performance Entity Resolution (HiPER) software is an advanced entity resolution solution that can provide configurable and accurate data management. When you evaluate HiPER, we will work with you to define a test scenario that uses …

data quality management

The Biggest Problem in Data Quality Management Today

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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 together to turn individual data points into actionable insights. However, …

Master Data Management Strategy: 3 Essential Components

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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 is mismanaged at any step of the process, you run …

The role of a chief data officer includes establishing data governance standards.

Does Your Company Need a Chief Data Officer in the C-Suite?

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If the emergence of Big Data has proven anything about today’s business landscape, it is that most organizations are not properly equipped to manage it. Even the most successful companies in the world struggle with leveraging Big Data, and many of these same companies are unaware of previously unavailable opportunities afforded by the implementation of master data management tools. The …

The analysts and data scientists at Black Oak Analytics are noticing some growing trends in the area of entity resolution.

The Trends Our Analysts Are Seeing in Entity Resolution

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By Dr. John R. Talburt As Black Oak Analytics’ team has been interacting with companies at the national and international level in 2016, we have been seeing several trends in entity resolution. The most obvious trend is companies are moving toward the adoption of Big Data technologies that exploit the power of distributed processing. At the same time, entity resolution …

Your business relies on data quality to make informed decisions. Does the data management software you use follow data quality best practices?

The Importance of Data Quality to Your Business Analysts

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Following data quality best practices requires establishing metrics for the cost of errors so that your business can approach customer data analysis strategically. Both false positives—the linking of unrelated records—and false negatives—leaving related records unlinked—can carry a substantial cost for your business’s reputation as well as unrealized marketing opportunities. Uncaught errors can lead to poor business decisions, unnecessary expenditures, and customer …

These data management principles can take your customer data analysis efforts to the next level.

How Managing the Right Data Can Take You from Recognize to Strategize

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The old paradigm of focusing on optimizing “product sales” is shifting to managing customer relationships. It’s one thing for organizations to know when a customer purchases a particular product or service, but it is more important to know how these customers move across all lines of business feeds. This is the elusive 360-degree view of the customer that so many …