Enterprise Knowledge Management. The Data Quality Approach.pdf

Enterprise Knowledge Management. The Data Quality Approach PDF

David Loshin

Your company captures and stores tremendous amounts of information about every aspect of its business. But with this rise in the quantity of information has come a corresponding decrease in its quality. Now more than ever, reversing this trend may spell the difference between success and failure. How can you and your organization respond to this challenge? Enterprise Knowledge Management gives you just what you need: a precise yet adaptable methodology for defining, measuring, and improving data quality and managing business intelligence. This one-of-a-kind book begins by laying out an economic framework for understanding the real business value of data quality. It then outlines rules for measuring data quality and determining where it can and should be improved. Finally, it teaches proven techniques through which you can achieve meaningful advances in the quality of your business data, including domain- and mapping-based consolidation of enterprise knowledge. FEATURES: * Expert advice from a highly successful data quality consultant. * Rigorously methodical in its approach to the problem and the detailed solution it presents. * Teaches you to measure quality in real business terms and to achieve meaningful, demonstrable improvement. * Uniquely combines business acumen and technical expertise - an indispensable resource for managers and IT professionals alike. * Documents the high costs of bad data and details the options available to any company that wants to transform mere data into true enterprise knowledge.

25 Jul 2017 ... on return on investment. Our approach is that knowledge management is a pillar that must stand securely on a pedestal of data quality, and by

3.72 MB Taille du fichier
9780124558403 ISBN
Libre PRIX
Enterprise Knowledge Management. The Data Quality Approach.pdf


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Notes actuelles

Sofya Voigtuh

Enterprise knowledge management | Guide books Our approach is that knowledge management is a pillar that must stand securely on a pedestal of data quality and that by the end of the book the reader should be able to build that pedestal" (p1). It is a tutorial on the author's methodology for improving data quality. Topics included are data ownership paradigms, definition of data quality, economic framework for data quality, dimensions of

Mattio Müllers

15 Oct 2019 ... Learn about the data management process in this in-depth definition ... An enterprise data warehouse includes data from business systems across an organization. ... a close knowledge of the data they oversee is normally a prerequisite. Data governance is closely associated with data quality improvement ... 23 Jul 2019 ... There are five characteristics of data quality – read on to learn what they are and why each one matters to the enterprise. ... if there's an error in a customer's bank account, it could be because someone accessed it without his knowledge. ... How to Build an Effective Data Quality Management Program.

Noels Schulzen

25 Jul 2017 ... on return on investment. Our approach is that knowledge management is a pillar that must stand securely on a pedestal of data quality, and by 5 days ago ... PDF | Enterprises need data quality management (DQM) that ... changing business requirements and for achieving enterprise agility ... IT governance follows a more flexible approach for the ... For the assignment of responsibilities to roles we build on knowledge from project management (Heerkens. 2001 ...

Jason Leghmann

Enterprise Knowledge Management: The Data …

Jessica Kolhmann

PoolParty Semantic Suite is based on supervised machine learning and supports the creation and management of Enterprise Knowledge Graphs in a highly automated way. It is used to break down data silos by linking data from various departments and organizations. PoolParty Semantic Suite helps enterprises to tackle challenges with data management and data integration in an orchestrated …