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Training Course:

Assessing Information Quality

School/Trainer:

IRM UK Strategic IT Training LTD
London, United Kingdom

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' This course describes how to conduct assessments of the different Information Quality (IQ) Characteristics, such as validity, accuracy and timeliness. You learn how to conduct an electronic information quality assessment for conformance to business rules. You also learn how to conduct a physical accuracy assessment. Larry English describes how organizations can utilize information quality assessments to improve the value of the information across the enterprise, including operational databases, shared data, data warehouse, and Internet/Intranet data.

Learning Objectives

Define critical IQ characteristics for your enterprise
Develop specific measurement tests for assessing various IQ characteristics
Develop a statistical control chart for process control
Develop a Pareto Chart
Develop a formal report of findings of an IQ assessment ...''

Elements of this syllabus are subject to change.

Please go to the school's official website for training price and schedule:
http://www.irmuk.co.uk/

Phone:+44 (0)20 8866 8366

School Address:

IRM UK Strategic IT Training LTD
Bishops Walk House
19-23 High Street
Pinner, Middlesex, HA5 5PJ, UK

Jobs & Resumes: London
Houses & Roommates: London
Travel Agencies: London

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Other training courses offered by IRM UK Strategic IT Training LTD:

IT Investment
Data Modelling and Data Warehouse Design Using Universal Data Models
Data Modelling Masterclass
Data Modelling Fundamentals
Unstructured Data
Master Data Management
Information Stewardship
Information Architecture
XML in Data Management
Practical Metadata Strategies and Fundamentals
Integrating Business Intelligence Into The Enterprise
Building Corporate Portals Using XML
Relational Remodelled
Web Services: The Tools, Technologies and Standards


Notice: The course description on this page was captured from the Internet as historical reference or submitted by visitors. It was archived statically and not updated from day to day.
 


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