Data quality

Quest For Data Quality

Pursuing data quality requires consideration of big data, data tools and resources, error correction and getting various interests to work together. Recent Inside Reference Data stories explore all these factors.

Choosing Tools and Setting Models

Efforts to raise data quality require both coordination of data processes and resources, and clearer definition of expectations in data modeling and contracting with service providers. Michael Shashoua reports on data managers' insights about how to…

Quality Time for Counterparty Data

A recent report by an international group of market supervisors has expressed concern about firms’ ability to report on their counterparties. Why does this area of data management remain so challenging and what should firms do to a get a handle on it,…

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