By Rajesh Jugulum
Create a aggressive virtue with info quality
Data is quickly changing into the powerhouse of undefined, yet low-quality info can truly positioned an organization at a drawback. for use successfully, info needs to safely mirror the real-world state of affairs it represents, and it needs to be in a sort that's usable and available. caliber info contains asking the suitable questions, focusing on the proper parameters, and having a good inner administration, association, and entry approach. It has to be suitable, entire, and proper, whereas falling in accordance with pervasive regulatory oversight programs.
Competing with prime quality info: techniques, instruments and strategies for construction a profitable method of information caliber takes a holistic method of enhancing 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 foreign company finance. within the ebook, Jugulum presents a roadmap to info caliber innovation, overlaying themes such as:
The four-phase method of facts caliber control
Methodology that produces facts units for various elements of a business
Streamlined information caliber overview and factor resolution
A based, systematic, disciplined method of powerful facts gathering
The ebook additionally comprises real-world case reports to demonstrate how businesses throughout a huge diversity of sectors have hired facts caliber structures, whether they succeeded, and what classes have been discovered. high quality info raises price during the details offer chain, and the advantages expand to the buyer, worker, and shareholder. Competing with top of the range information: ideas, instruments and methods for construction a profitable method of information caliber presents the data and advice essential to formulate and turn on a good info caliber plan at the present time.
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Extra info for Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality
In Chapter 3, we discuss the remaining two work streams as they are related to the four-phase DAIC (Define, Assess, Improve, and Control) approach. ), the project portfolio, defined operational resources and procedures including issues management tools and routines, and a resource plan (including a training plan as applicable). At the end of this stage of the program, the team should be able to deliver a robust formal business value–based program charter. This work stream is also responsible for delivering the following four important activities.
Data profiling results are essential for completing the activities associated with defining data quality rules for assessment and conducting ongoing analyses of target data sets. 5 Data Integration This capability involves determining the lineage of the business, operations, and technology processes by which data enrichment, acquisition, composition, and capture occur. Data integration also addresses the control processes that are used to monitor data integrity as data flows from upstream sources to downstream consumers.
2 DAIC APPROACH FOR DATA QUALITY Here, the Six Sigma approaches have been modified to build a DefineAssess-Improve-Control (DAIC) approach for improving data quality. 4. 1 The Define Phase This phase focuses on defining the project by establishing the scope, objectives, resource commitments, and project plans, and ensuring strong governance and stakeholder support. Broadly, there are two approaches for defining the overall scope of the project. The data quality project scope can be established by selecting data critical to the targeted business process.
Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality by Rajesh Jugulum