Data quality is a top priority for financial firms and it has only grown in importance because of regulation and the need for better operational efficiency. Data quality is hard to measure in the ...

1. The Data Quality Assessment Framework (DQAF) was developed to address the Executive Board's interest in data quality as expressed during the December 1997 discussion of the Progress Report on the ...

FIS MarketMap—encompassing MarketMap Energy and MarketMap Analytical Platform—provides clients with market and reference data, including real-time and historical data across global asset classes such ...

Firms all over the world use Bloomberg’s robust Reference Data offering to feed their operational workflows and inform decision making across the front, middle and back office. Bloomberg’s Reference ...

Data quality in healthcare can directly affect patient outcomes, physicians’ decision-making abilities and more. Unfortunately, there are many examples of data quality issues running rampant in ...

Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? Nomenclature is important. Data governance, data integrity, and ...