As data sources and volumes grow exponentially year by year, we are seeing an increasing interest in automated solutions for managing data quality. So much data is being generated and consolidated so ...

Everyday, we create 2.5 quintillion bytes of data (yes, that number has 17 zeroes in it!). And the pace of data creation only continues to accelerate. As good data stewards, we must take ownership of ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

A data steward manages and distributes information securely within the organization that hires him. This task is particularly important when a company's data contains sensitive information that could ...

It’s no surprise that organizations still struggle with some level of bad data. Many don’t know where to start, who’s responsible for, or how to sustain a data quality initiative over the long haul.

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 ...

Administrative data is owned by the University and should be shared appropriately to meet the needs of the University and its customers. Data is to be managed by a Data Steward as a University ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

Enhance your data strategy with effective data quality and data governance practices. Learn their differences and how to integrate the strategies successfully. Image: Dmitry/Adobe Stock Data quality ...

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