Πίνακας περιεχομένων: Enterprise knowledge management

Enterprise knowledge management the data quality approach /

Today, companies capture and store tremendous amounts of information about every aspect of their business: their customers, partners, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality--a problem businesses recognize and are...

Πλήρης περιγραφή

Κύριος συγγραφέας:	Loshin, David, 1963-
Μορφή:	Ηλεκτρονική πηγή
Γλώσσα:	English
Στοιχεία έκδοσης:	San Diego : Morgan Kaufmann, c2001.
Σειρά:	Morgan Kaufmann Series in Data Management Systems Ser.
Θέματα:	Knowledge management. Industrial management > Data processing. Information technology > Management. Business enterprises > Data processing > Management. Data warehousing. Electronic books.
Διαθέσιμο Online:	http://www.sciencedirect.com/science/book/9780124558403
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!

Πίνακας περιεχομένων:

Preface
Chapter 1
Introduction
Chapter 2
Who Owns Information?
Chapter 3
Data Quality in Practice
Chapter 4
Economic Framework of Data Quality and the Value Proposition
Chapter 5
Dimensions of Data Quality
Chapter 6
Statistical Process Control and the Improvement Cycle
Chapter 7
Domains, Mappings, and Enterprise Reference Data
Chapter 8
Data Quality Assertions and Business Rules
Chapter 9
Measurement and Current State Assessment
Chapter 10
Data Quality Requirements
Chapter 11
Metadata, Guidelines, and Policy
Chapter 12
Rule-Based Data Quality
Chapter 13
Metadata and Rule Discovery
Chapter 14
Data Cleansing
Chapter 15
Root Cause Analysis and Supplier Management
Chapter 16
Data Enrichment/Enhancement
Chapter 17
Data Quality and Business Rules in Practice
Chapter 18
Building the Data Quality Practice.

Enterprise knowledge management the data quality approach /

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