Updating the data quality toolbox -- Webcast

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Financial firms' data managers are always trying to improve upon the quality of the data they work with, and feed on to their colleagues. Yet there is a widespread perception that the tools available for data management, particularly for ensuring data quality, are rudimentary. The complexity of data reporting rules and the webs of data warehouses most firms put together, along with the expenses involved in complying with those rules and maintaining those data stores, may be compounding the problem, if the management tools available are insufficient. Our webcast will explore how the industry views the current state of data quality measures and tools, and will examine what improvements may emerge.
-- What are the best types of tools and methods currently available for ensuring data quality?
-- Can these means of data quality be improved upon, and how?
-- Are there new ideas about how to manage and better serve data quality that will enter the marketplace?
-- How is regulation setting the bar higher for data quality and what effect will regulation have on determining how higher data quality is pursued?
-- How may efforts to obtain real-time data and to effectively link data sources affect data quality?
-- How can current data management systems, or upgraded versions of these systems, best address real-time data and linking of sources?
Speakers:
* Brian Sobolak, Specialist, Asset Data Quality, NORTHERN TRUST
* Sumanda Basu, Senior Vice President, Internal Audit (Data Governance), CITI
* Kim Kaminski, SVP, Marketing, INFOGIX
* Peter Ku, Senior Director, Financial Services Global Solutions Marketing, INFORMATICA
* Moderator: Michael Shashoua, Editor, INSIDE REFERENCE DATA
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