Rajesh Jugulum's Competing with High Quality Data: Concepts, Tools, and PDF

By Rajesh Jugulum

ISBN-10: 1118342321

ISBN-13: 9781118342329

Create a aggressive virtue with facts quality

Data is speedily changing into the powerhouse of undefined, yet low-quality facts can really positioned an organization at a drawback. for use successfully, facts needs to effectively mirror the real-world state of affairs it represents, and it has to be in a sort that's usable and available. caliber facts includes asking the ideal questions, concentrating on the proper parameters, and having a good inner administration, association, and entry approach. It has to be appropriate, whole, and proper, whereas falling in accordance with pervasive regulatory oversight programs.

Competing with prime quality facts: ideas, instruments and strategies for development a profitable method of facts caliber takes a holistic method of bettering information caliber, from assortment to utilization. writer Rajesh Jugulum is globally-recognized as a huge voice within the info caliber area, with high-level backgrounds in overseas company finance. within the ebook, Jugulum offers a roadmap to facts caliber innovation, masking subject matters such as:

The four-phase method of info caliber control
Methodology that produces info units for various elements of a business
Streamlined info caliber overview and factor resolution
A based, systematic, disciplined method of potent info gathering

The ebook additionally comprises real-world case reviews to demonstrate how businesses throughout a huge variety of sectors have hired information caliber structures, whether they succeeded, and what classes have been discovered. fine quality facts raises price during the info offer chain, and the advantages expand to the customer, worker, and shareholder. Competing with prime quality information: strategies, instruments and methods for construction a profitable method of facts caliber offers the data and tips essential to formulate and turn on a good facts caliber plan this day.

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Additional info for Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality

Example text

In cases where we cannot statistically determine the thresholds, we must resort to SME inputs to determine this number and refine this process as we collect more and more data. The result of the assessment is a set of error records, organized by attribute and data quality dimension (or rule). The assessment activity should identify all those records that are incomplete, nonconforming, invalid, and/or inaccurate. These records are the basis for the root-cause analysis conducted in the Improve phase.

In cases where we cannot statistically determine the thresholds, we must resort to SME inputs to determine this number and refine this process as we collect more and more data. The result of the assessment is a set of error records, organized by attribute and data quality dimension (or rule). The assessment activity should identify all those records that are incomplete, nonconforming, invalid, and/or inaccurate. These records are the basis for the root-cause analysis conducted in the Improve phase.

Additional benefits, including cost and resource efficiencies, enhanced decision making, and revenue-generating opportunities, can be derived by implementing the data quality operating model. The model described in this chapter is designed to establish data quality capabilities while building robust program structures and executing data quality improvement projects. As project teams work on the various aspects of the program planning and execution, they should find that each and every task contributes to such benefits.

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Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality by Rajesh Jugulum


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