Competing with High Quality Data: Concepts, Tools, and by Rajesh Jugulum

By Rajesh Jugulum

Create a aggressive virtue with information quality

Data is swiftly changing into the powerhouse of undefined, yet low-quality facts can really placed an organization at an obstacle. for use successfully, info needs to safely mirror the real-world situation it represents, and it needs to be in a kind that's usable and obtainable. caliber information contains asking the correct questions, concentrating on the proper parameters, and having a good inner administration, association, and entry method. It has to be suitable, whole, and proper, whereas falling in keeping with pervasive regulatory oversight programs.

Competing with prime quality info: ideas, instruments and strategies for construction a profitable method of info caliber takes a holistic method of bettering facts caliber, from assortment to utilization. writer Rajesh Jugulum is globally-recognized as a massive voice within the info caliber enviornment, with high-level backgrounds in foreign company finance. within the publication, Jugulum presents a roadmap to facts caliber innovation, overlaying issues such as:

The four-phase method of info caliber control
Methodology that produces information units for various points of a business
Streamlined info caliber review and factor resolution
A dependent, systematic, disciplined method of powerful info gathering

The booklet additionally comprises real-world case reports to demonstrate how businesses throughout a huge variety of sectors have hired facts caliber platforms, whether they succeeded, and what classes have been realized. top quality information raises worth during the info provide chain, and the advantages expand to the customer, worker, and shareholder. Competing with top of the range information: suggestions, instruments and methods for construction a winning method of facts caliber offers the data and tips essential to formulate and turn on an efficient facts caliber plan at the present time.

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

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Chapter 4 focuses on the quantification of the impacts of poor data quality. Chapter 5 describes statistical process control (SPC) techniques and their relevance in DQ monitoring and reporting. Chapters 6 and 7 describe the CDE identification, validation, and prioritization process, and Chapter 8 describes the importance of designing DQ scorecards and how they can be used for monitoring and reporting purposes. Chapter 9 provides an approach to resolve various issues affecting data quality. These issues can be related directly to the data or the processes providing the data.

Issues Management This functionality may also be part of the metadata or reporting environments, but should include a workflow and escalation capability. Here, you should be able to track data quality issues coming from your ongoing assessments as well as other sources, and manage those issues through triage, root-cause analysis, and remediation. Analytics As the program matures and larger sets of data quality results are available, it is important to begin to conduct deeper analytics. This includes simple trending to more sophisticated statistical analytics described elsewhere in this book.

Six Sigma has a set of techniques that enables us to characterize and optimize the relationship between Y and x. The Six Sigma approach helps organizations achieve a rapid rate of improvement in cost, quality, process speed, safety, customer satisfaction, invested capital, and environment. Every Six Sigma project typically follows the “importance of measurement” philosophy. The Six Sigma approach has been successfully applied in almost every type of industry, from retail to financial services to pharmaceuticals to healthcare to high technology and electronics, and to nuclear power generation.

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