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Training Course:

Principles of Data Administration

School/Trainer:

Stehle Associates
London, United Kingdom

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

Course Description:

'' Every organisation needs to understand and manage its data as a valuable corporate asset, to enable IS/IT to react quickly to the ever changing business environment. Where projects are allowed to develop files and databases without reference to common and consistent data definition standards, information provision becomes increasingly difficult and applications continue to generate data problems for the future. Today’s applications become tomorrow’s legacy systems!

Every organisation has three key resources - people, assets and information. Yet all too often the management of data and information is the Cinderella of the organisation and scant attention is paid to this key area.

A well considered data management function provides the underpinning to application development and information provision. Applications can use data with confidence, users obtain the information they want in the knowledge that it is based on correct underlying data; and confidence in IS grows.

Data management is a continuing key area of interest. An investment in applying the principles correctly will enhance any IS operation.

Who should attend:

This course is suitable for:

Data Managers and Data Administrators
Business and Data Analysts
Concerned Business Managers

Prerequisites:

Experience of the problems of managing data is expected.

What you will learn:

Practical and effective approaches to managing corporate data which will improve communication between users and IT/IS, and support an integrated and cost effective approach to data and information resource development.

On successful completion of the course, attendees will be able to:

Plan for and implement a data administration function
Describe the relationships between data administration, database administration, systems development teams and business users
Fulfil the role of a data administrator, encompassing quality and security issues, reconciling data duplication and redundancy
Monitor and improve upon the operation of the data administration function

What you will cover:

Why Data Administration - Understanding data, problems and business information needs; quality of data and information; strategic importance of data management
The role of Data Administration - Goals and objectives; roles and responsibilities; organisation structures; terms of reference
Implementing Data Administration - Educating the organisation; costs and benefits; securing management commitment; staffing - skills and resources; policies and strategies
Effective Operation - Corporate data models and their management; data standards and procedures, data definition and ownership issues; support for projects - application development, dealing with package solutions and legacy systems; provision of an information service to data users
Support Tools - Dictionaries and repositories - concepts and objectives; infrastructure and environment; standards and procedures; product evaluation; interfacing to CASE; effective implementation ...''

Elements of this syllabus are subject to change.

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

Phone:+44 (0)20 7917 9943

School Address/Venue(s):

Stehle Associates
212 Piccadilly
London W1J 9HG United Kingdom

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

Search other schools for Principles of Data Administration training resources.




Other training courses offered by Stehle Associates:

Milestone Planning
Motivation
Object Development with UML
Organisational Context
Modelling Business Processes
Planning and Controlling Projects
Presentations Skills for Technicians
Principles of Data Management
Problem Analysis and Problem Solving
Project Initiation
Recruitment and Selection
Requirements Engineering


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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