Quality Control

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

By Rajesh Jugulum

Create a aggressive virtue with information quality

Data is quickly turning into the powerhouse of undefined, yet low-quality information can truly positioned a firm at a drawback. for use successfully, information needs to effectively mirror the real-world situation it represents, and it needs to be in a sort that's usable and available. caliber info comprises asking the correct questions, concentrating on the proper parameters, and having a good inner administration, association, and entry method. It needs to be correct, whole, and proper, whereas falling according to pervasive regulatory oversight programs.

Competing with prime quality facts: strategies, instruments and strategies for construction a winning method of information caliber takes a holistic method of enhancing info caliber, from assortment to utilization. writer Rajesh Jugulum is globally-recognized as a tremendous voice within the facts caliber area, with high-level backgrounds in foreign company finance. within the e-book, Jugulum presents a roadmap to info caliber innovation, overlaying subject matters such as:

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

The e-book additionally comprises real-world case reviews to demonstrate how businesses throughout a extensive variety of sectors have hired info 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 customer, worker, and shareholder. Competing with top of the range info: innovations, instruments and strategies for construction a winning method of information caliber presents the data and assistance essential to formulate and turn on an efficient information caliber plan at the present time.

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Having a standardized and structured methodology is important so anyone in the organization can follow the same steps in implementing data quality. This also contributes toward implementing good program controls and project management discipline. • The DAIC approach is very useful in realizing the value associated with DQ improvements and in helping to sustain the gains of these improvements. The Control phase essentially aims at having controls around the new processes and methods so that gains can be realized to the full extent.

5 sigma (σ) process shift from the mean or nominal value. 1 shows the magnitude of various sigma levels for any given process, highlighting the importance of Six Sigma. As mentioned, the Six Sigma approach is a business process–related project-driven methodology. These projects are executed through the DMAIC (Define, Measure, Analyze, Improve, and Control) process. 2. The DMAIC Six Sigma approach is useful when we are improving a particular process and aim to reduce the defect rate. If a particular process requires major redesign or if we need to design a product or process from the beginning, it is recommended that we use the Design for Six Sigma (DFSS) methodology.

6 Assess the Current State of Data Quality This work stream provides a baseline understanding of a business area’s ability to define, manage, track, and improve data quality. The objective here is to gain a clear documented view of the organization’s current data quality capabilities. This will be instrumental in defining the portfolio of projects by prioritizing areas for improvement by leveraging existing processes, tools, and specified gaps. This work stream is responsible for delivering the following three important activities.

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