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Data Quality Seminar in India - Friday, July 30, 2004
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The aim of the Data Quality Seminar is to create awareness about importance of Data Quality for India as well as global markets, to size costs and possible resolutions of poor quality data especially when it comes to identification data like name, address, telephone numbers. A number of case studies will be discussed based on global to mid-size company experience around the world, to help organizations understand how to know customers better, cross-sell smarter, manage fraud, manage attrition, reduce operations cost, and how to plan for world-class data management services with customer/prospect name and address data in India and in markets around the world. Seminar will address issues with India market data and their known resolutions.
A brief note on Data Quality. The importance of Quality is well recognized in the manufacturing industry: as a popularity of Six Sigma techniques and ISO 9000 certifications suggest. Similarly the importance of Quality in software engineering, programming and design is recognized by the SEI-CMM level certifications. When it comes to Data, unfortunately the importance of Quality is most often overlooked.
To quote Ted Friedman, principal analyst at Gartner, "Many organizations worry about the plumbing (i.e. the tools), but tend not to think about the quality." The costs of such negligence can be staggering. It has been estimated by The Data Warehousing Institute (TDWI) that poor data quality costs U.S. businesses more than $600 billion a year.
Poor data quality means that information may be inaccurate, incomplete, redundant or fictitious, resulting in higher costs, poor service, and missed revenue opportunities. Hence, the Data Quality Seminar should be of interest to General Managers, Business Managers and CIOs, in addition to professionals in Marketing, Risk, Operations, and Data Warehouse related IT functions.
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Please e-mail Sujan.Pandit@ciant.com for all inquiries and Seminar participation interest. |
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