Use this list of best practices for establishing and maintaining data governance within your organization. The volume of data that the world produces has risen exponentially in recent years. In 2020, ...

For all systems which store, process, and retrieve data – such as thermal analyzers – data integrity is paramount. “Data integrity is the degree to which data are complete, consistent, accurate, ...

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This section breaks down different topics required for the planning and preparation of data used in research at Case Western Reserve University. In this phase you should understand the research being ...

Recent research conducted by Tech-Clarity (with input from Automation World subscribers) for the report, “The Manufacturing Data Challenge: Lessons from Top Performers,” shows that top performers in ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

Soaring data volumes, increasing data complexity and the growing use of artificial intelligence (AI) are driving organisations to improve their data management practices, according to Christine Low, ...

The variance of data management policies across organizations and industries is high, and is indicative of the absence of benchmarking and standardization across strategies. Many organizations lack a ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

What’s on the mind of buy side senior executives as they work to improve and implement enterprise data management practices and technologies? Their top insights can help drive innovation industry-wide ...