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Data Management

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…

ICE Begins ISDA Benchmark Calculation

ICE Benchmark Administration, the benchmark rate administration subsidiary of IntercontinentalExchange, began its role as administrator of the International Swaps and Derivatives Association's ISDAFIX swaps rate benchmark on August 1, as agreed earlier…

Big-Time Data Terminology

Larger-than-life terms aren't necessarily the best way to describe data management issues. As an S&P data strategist points to integration and scalability concerns, IRD's editor writes that quality and consistency are really what it's all about

Bloomberg Touts New Toronto Ticker

Bloomberg has gone live with a new ticker plant in Toronto, to provide financial firms with faster access to data captured from Canadian exchanges, reducing latency by 71 percent compared to its previous offering.

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