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Methodology for Enterprise Data Quality and Data Governance
from Harte-Hanks Trillium Software

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White Paper


Description:
As organizations rely more and more upon data to execute daily operations as well as drive business analysis and intelligent decision-making, data becomes perceived as a more strategic asset. An enterprise data quality utopia can be achieved as a business-benefits driven change over time with a Total Data Quality strategy. This white paper discusses all aspects of selecting, funding, executing, and maintaining a Total Data Quality strategy.

Harte-Hanks Trillium Software White Paper Sample

As organizations rely more and more upon data to execute daily operations as well as drive business analysis and intelligent decision-making, data becomes perceived as a more strategic asset. Data volumes are increasing, and the need to share information as well as to use the same bit of information to serve multiple purposes is increasing: e.g., a transaction record not only concludes a sale within a supply chain management system, but offers insights into buying behavior and serves as a source for target database marketing.

Many businesses recognize that their data needs improvement, but fail to address the topic at an enterprise level because it is difficult to qualify the actual loss being experienced or the intended gain to be achieved. Because of the impracticality of implementing a corporate-sponsored, enterprise-wide data quality program using a big-bang approach, Trillium Software recommends tackling data quality issues that can be directly tied to tangible business benefits and growing this solution out, over time.

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