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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What is Record Linkage?

By David Loshin In my last entry, I talked about the fact that many distributed pieces of data about a single individual can be combined together to form a deep profile about that individual. But how are different data records from disparate data sets combined to formulate insightful profiles? The answer lies in the ability to collect the different pieces…

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How to Perform ETL – Fast and Easy

Imagine a more simplified approach to data integration - one that doesn't require the use of different connectors, etc. It's all possible with expressor Software's latest product release - version 3.5 of its desktop ETL platform - which will feature Melissa Data and Salesforce.com integration. The platform will leverage the power of Melissa Data's WebSmart services for postal address verification,…

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Data Quality ROI

By Elliot King Developing metrics to determine the return on investment is both a boon and a bane for IT professionals. A credible return on investment projection is invaluable for guiding the deployment of technology resources. And an after-the-fact calculation of actual ROI is essential for continual improvement. Did you meet your project goals within budget, and most of all,…

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Business Rules for Standardization: Bringing it all Together

By David Loshin While we have been talking in the last few posts about checking whether a data value observes the standard (and is therefore a valid value), the real challenge in standardization is in determining (1) that a value does not meet the standard and then (2) taking the right actions to modify it so that it does meet…

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Context is Key to Measuring Data Quality

By Elliot King Beauty is in the eyes of the beholder, but that is not the case when it comes to data quality or, at least, it is not the whole story. Data quality can be measured along several different dimensions. But in the final analysis data quality depends on the context within which the data is used.  Perhaps the…

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Maximize Value and Mitigate Risk

By Elliot King It seems like everybody knows, or should know, that data is a company's most important asset. Data is the primary commodity employees, customers and suppliers generate and consume everyday--it is the corporate lifeblood. Data is the raw material that let's organizations know if they are doing well or falling short. Data forms the basis of corporate decision-making.…

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