Abstract
As survival of companies is more judged by the ability to extract the right information within their data, stress is also given on the quality of data lying within. Currently, data quality is not restricted to the correctness and consistency of data. It also covers the extent to which good data is integrated and used enterprise wide. It also involves the scrutiny at the initial most level of data entrance in an organization and geographically & financially valid data with reference to other databases across enterprise.

This white paper deals with evolving data quality concepts, their assessment and methodologies to achieve enterprise-wide implementation & integration. Also, this paper evaluates the business value and impact of data quality concepts. It is necessary to understand the best practice based approach and architecture of a data quality initiative in an organization as well as its complicacy and intricacy to achieve friendlier, useful and critical information.

Authors Javed Beg Shadab Hussain

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