|
ABSTRACT:
Changing requirements are creating new data quality challenges: the need to process more data in less time, handle multiple languages and characters sets, and maintain consistency between new data flowing into the system and the data warehouses. Meeting these challenges requires a more flexible approach to data quality - whether you're building a traditional data warehouse or embedding services in online applications.
Attend this Webcast to learn how best practices in data quality management will enable you to implement a successful enterprise data quality center of excellence. Explore how advances in approaches to data quality management, the desire to formalize customer data integration, developing a master data management (MDM) program, and seemingly continuous data migration projects all contribute to a an understanding of the need for both acquiring data quality tools and formalizing processes for their use.
|
|
Speakers
Suresh Menon
Direct Product Management
,
Identity Systems
Suresh Menon, Director of Product Management, Identity Systems, handles product strategy for the company's identity resolution technology offerings. Mr. Menon started with Identity Systems more than 9 years ago in sales and product support, and later moved on to projects that helped shape the development of the software into an enterprise-class solution. He has worked directly with many clients to solve identity data issues including: GE Capital, Citigroup, Morgan Stanley, TransUnion, and Sprint
David Loshin
President, Knowledge Integrity, Inc.
David Loshin is the president of Knowledge Integrity, Inc., a consulting company focusing on customized information management solutions including information quality consulting and training, business intelligence, metadata and data standards management. He authored Master Data Management (2008, The MK/OMG Press) and is a frequent speaker and recognized MDM expert.
|
Information Security Research Library
