What Can Health Care Teach Us About Data Quality?

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By Elliot King

Data quality issues are more acute in health care than in perhaps any other industry sector. According to a seminal study by the Institute of Medicine, (IOM) preventable medical errors are responsible for nearly 100,000 deaths annually, making it the sixth leading cause of death in the United States. These errors cost $98 billion annually.

Of course, not all of these errors reflect problems in data, but many do.… Read More

Customer Centricity and Birds of a Feather

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By David Loshin

Why do we care to establish physical locations for individuals? One reason should be patently obvious: in every interaction between a staff member from your company and customer, both parties are always physically located somewhere, and many business performance indicators are pinned to a location dimension, such as “sales,” “customer complaints,” or “product distribution” by region.

Location is meaningful when it comes to analyzing customer behavior.… Read More

Just Grow Up

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By Elliot King

When it comes to data quality, so many companies need a change of attitude–or to put it bluntly, they just need to grow up. Too often, organizations approach data quality reactively, addressing their efforts to fixing what they discover as broken as quickly as possible. A proactive approach is generally more effective. In this perspective, data is viewed as a strategic asset and data quality is seen as a strategic initiative rather than a cost.
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Who is Who?

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By David Loshin

In my last post, I started to list the many different channels and contact identifiers that a single individual could use to interact with your business. What I neglected to delve into is the challenge of unique identification. Let me illustrate using two examples.

If you perform a search at Amazon for books by “David Loshin,” you will get a
list of books.… Read More

A Guide to Better Survivorship – A Melissa Data Approach

Melissa Team | Address Quality, Analyzing Data, Analyzing Data Quality, Data Enhancement, Data Integration, Data Management, Data Quality, Survivorship | , , , , , , ,

By Joseph Vertido

The importance of survivorship – or as others may refer to as the Golden Record – is quite often overlooked. It is the final step in the record matching and consolidation process which ultimately allows us to create a single accurate and complete version of a record. In this article, we will take a look at how Melissa Data uniquely differentiates itself in approaching the concept of survivorship compared to some of the more conventional practices.
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