Category: Analytics

Data Quality and Data Integrity Are Not the Same The difference between data quality and integrity is important to understand

4th of a 4-part series Previous posts have provided an overview of data quality drivers and their associated dimensions. To

A preceding blog provided an overview of the operational dimensions that are normally associated with data quality. To recap, these

Data quality is a broad topic, and the data management community has worked hard to dissect and define it so

In business, we rely on applications, services, and data to improve the efficiency and effectiveness of the organization. One of

Four Core Data Source Consolidation Considerations  Every organization depends on a range of data sources to support different operational initiatives,

As digital transformation becomes mainstream and drives organizational growth, the enterprise information pipeline continues to expand, driven by a relentless

Companies have always struggled to leverage data quality to the extent necessary to run their business at an optimal level.

Every day employees spend more time than they should trying to find the best available data to make decisions. While

[this is a reprint from Inside Big Data, dated July 5, 2016, link at the bottom] It is a broadly