Melissa Data and Semarchy Partner to Integrate Data Quality and Master Data Management

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Melissa Data Enrichers Enable Clean, Global Contact Data for Semarchy Users; Webinar Demonstrates Best of Breed Strategy for Fast, Optimized MDM Operations

Rancho Santa Margarita, CALIF – November 12, 2014 – Melissa Data, a leading provider of contact data quality and data integration solutions, today formally announced its partnership with Semarchy, a developer of innovative Evolutionary Master Data Management (MDM) software and solutions.… Read More

Data is Born in Business Processes

Melissa Team | Analyzing Data, Analyzing Data Quality, Data Governance, Data Management, Data Quality | ,

By Elliot King

One of the most critical factors affecting the health of an organization is the relationship between business processes and the IT infrastructure. Data is created through businesses processes and the ways that these operations are designed and implemented have an enormous impact on the quality of the data, from acquisition through application, and retention.
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Standardizing Classifications

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By David Loshin

In the most recent post, we posed a straightforward problem: if we have a reporting or analytical objective that depends on using a dimension for classification, what happens when two different value domains are presumed to map to the same conceptual domain?
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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.
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The Format of Nothing

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By David Loshin

The first question I always wonder about missing data is about the format of the missing data, especially in systems that predate the concept of the “system null” value. For example, early systems maintained files storing tables with fixed-width columns.
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