Utilities are becoming increasingly skilled at adapting to changes brought on by the digital age: pressure from automation, disruption from new technology, and challenges with how to ingest, manage, ...

Explore the best practices to improve data quality and maximize the value of your data assets. Data quality, the condition of an organization’s data in terms of consistency, accuracy, reliability, and ...

Six Sigma is a data-driven approach to quality, aimed at reducing variation and the associated defects, wastes, and risks in any process. This article explores the basics of Six Sigma process quality ...

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Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Standardizing a process across the enterprise carries with it both costs and benefits. Enterprise quality management software (EQMS) is making this transition simpler, much more appealing, and ...

We could talk all day about the giant puzzle created by dirty data. But to master the data quality domino game, it’s more important to focus on stopping the data dominoes from falling and blocking ...

The use of analytics is no longer limited to big companies with deep pockets. It’s now widespread, with 59% of enterprises using analytics in some capacity. And companies are capitalizing on this ...

There may be no client relationship management project quite as challenging as data migration and de-duplication. If approached without a plan, it can be a daunting, seemingly endless task that drains ...