By Rajesh Jugulum
Create a aggressive virtue with info quality
Data is speedily changing into the powerhouse of undefined, yet low-quality information can truly placed an organization at an obstacle. for use successfully, info needs to safely mirror the real-world situation it represents, and it has to be in a sort that's usable and available. caliber facts contains asking definitely the right questions, concentrating on the proper parameters, and having a good inner administration, association, and entry process. It has to be appropriate, whole, and proper, whereas falling based on pervasive regulatory oversight programs.
Competing with top of the range info: strategies, instruments and methods for development a profitable method of info caliber takes a holistic method of bettering info caliber, from assortment to utilization. writer Rajesh Jugulum is globally-recognized as an important voice within the info caliber area, with high-level backgrounds in overseas company finance. within the ebook, Jugulum presents a roadmap to facts caliber innovation, overlaying subject matters such as:
The four-phase method of facts caliber control
Methodology that produces information units for various elements of a business
Streamlined information caliber overview and factor resolution
A established, systematic, disciplined method of powerful information gathering
The e-book additionally includes real-world case reports to demonstrate how businesses throughout a huge diversity of sectors have hired information caliber platforms, whether they succeeded, and what classes have been discovered. fine quality information raises worth during the info offer chain, and the advantages expand to the buyer, worker, and shareholder. Competing with prime quality facts: recommendations, instruments and methods for construction a winning method of facts caliber presents the knowledge and information essential to formulate and turn on an efficient information caliber plan this day.
Read or Download Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality PDF
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Extra info for Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality
Sample text
8 Data Quality Monitoring and Control Monitoring and control are the ongoing processes and activities of measuring data quality throughout its life cycle. This is the steady state, in which critical data is managed in a controlled environment, where accountabilities, escalations, and actions in response to poor data quality are defined and agreed upon. Data quality teams will establish ongoing routines and processes to monitor the quality levels of defined critical The Data Quality Methodology 17 data.
This effort includes validation and certification from business, operations, and technology. 3 The Improve Phase The Improve phase of the DAIC approach focuses on conducting rootcause analysis on DQ issues identified during the Assess phase. These issues should be logged into the issues management system. The data quality and business teams should conduct root-cause analysis and develop process, technology, and/or data cleansing solutions for addressing these issues. For a detailed discussion on resolving DQ issues with a structured methodology, refer to Chapter 9.
0 INTRODUCTION As mentioned in Chapter 1, the core purpose of the DQ program is to satisfy various requirements that ensure the data is fit for its intended purpose and that it is of high quality. In order to satisfy these requirements, we must have a systematic DQ program that can be applied to various DQ-related projects. The data quality program structure, objectives, management routines, and portfolio of projects need to be focused on building and institutionalizing processes and project results that drive business value.