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

The requirements of fixed income data present many firms with specific complexities. A highly complex and challenging asset class, fixed income comprises many categories and subcategories As the data ...

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 ...

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 ...

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 ...

Master data management (MDM) is a set of disciplines, processes, and technologies used to manage an organization’s master data. Master data is data about business entities or objects (customers, ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...