Melissa Data Publishes Insight on Top Global Data Quality Challenges

After 30 years in the industry, we've seen firsthand what bad data does to good companies. You'll be surprised to learn some of the issues companies have with their data. We've collected the top 30 most pervasive data quality issues - and what you need to know to solve them. Download our free Melissa Data Magazine to learn more. Also…

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Get Used to It: Inconsistent Data is the New Normal

By Elliot King Nobody is perfect and neither is corporate data. Indeed, data errors are intrinsic to IT's DNA. Data inevitably decays. Errors can be caused when data from outside sources are merged into a system. And then, of course, the humans that interact with the system are, well, human. Unfortunately, despite the best efforts of data quality professionals, the…

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Classifying Data Quality Problems

By Elliot King Data quality is generally most fruitfully defined in the context of its use. Is the data good enough to allow the process with which it is associated to run efficiently and effectively? For example, is the mailing list you are using for a direct solicitation accurate enough that you can achieve your goals and not generate any…

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What Can Health Care Teach Us About Data Quality?

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,…

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Communication is a Key to Data Quality

By Elliot King Too often, data quality is seen as a strictly technical issue. Data quality problems must be identified, assessed and then rectified, and that process is best managed by experts using the right tools. But communication may be the most important element in a data quality program. A data quality program can only succeed if all the stakeholders…

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Reducing Data Quality Risks

By Elliot King As Donald Rumsfeld, the former secretary of the defense once famously said, "there are known unknowns and there are unknown unknowns." In other words, somethings we know we don't know and consequently we can do the research to learn what we need to know. But other times, we don't even know what we don't know. Unknown unknowns…

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It Takes a Team

By Elliot King As the cliché has it, data is an organization's most valuable asset. But the question is--who guards those corporate jewels? Is it the IT staff that is charged with making sure the information infrastructure supports the business correctly? Is it the database developers and administrators who are the front-line data professionals? Is it the business users who…

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Who Should Lead Your Data Quality Initiatives

By Elliot King Data and data quality issues touch virtually every part of an organization. Poor data hurts organizational efficiency. It can have a measurable impact on the bottom line. And it can diminish employee morale when employees cannot access the information they need to succeed at their tasks, and the data they do retrieve turns out to be wrong.…

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Measuring Yourself

By Elliot King Sometimes you just know you're doing things badly. You send out a direct mail piece and you get all sorts of bounce backs. And sometimes you know you're doing something well. The next direct mail piece gets a really high rate of return. But an ad hoc, event-by-event assessment of performance generally is not good enough. Organizations…

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