Data Management in Plain English

Data Management in Plain English

Every organisation needs to understand and manage its information and data as a valuable corporate asset. 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.

Where projects are allowed to develop databases without reference to common and consistent data standards, information provision becomes increasingly difficult and applications continue to generate data problems for the future, with today’s applications become tomorrow’s legacy systems!

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 grows. The aims, objectives and techniques of data management are often misunderstood. This seminar is designed to unravel some of the mystery surrounding data management.

Who should attend:

This seminar is intended for:

Business Managers
IT Managers
Project Managers
Prerequisites:

Experience of the problems of data or databases is expected.

What you will learn:

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

Describe the importance of data
Describe the role of databases and data management
Describe and distinguish the roles of data administrators and database administrators
What you will cover:

The importance of data to the enterprise
Information is the lifeblood of any enterprise. Information is based on data. Therefore, all enterprises need good quality data that is available to all who need it. This requires efficient and effective data management.
How system databases are developed
The database designers need to have both knowledge of how data can be stored within a database and an understanding of the information and data requirements of the business. The process, involving the development of a data model that is then used to inform the physical database design, is largely subjective.
What happens without data management.
If systems, and their databases, are designed independently the enterprise will suffer from an eternal lack of effective data and information sharing. Each new system will become a legacy system before it is even deployed.
What data management is.
Data management is a corporate service comprising data administration, database administration and repository administration.
Data administration techniques.
Data administrators are responsible for ensuring that data becomes a corporate asset. To this end they develop corporate data models, naming standards and data standards.
Data administration skills.
Data administrators need a broad technical knowledge of databases, need to be good communicators and thinkers, and need to have a deep knowledge of the business of the enterprise.
Database administration techniques.
Database administration is a technical function that is responsible for physical database design and for dealing with day-to-day technical issues such as security enforcement, database performance, and backup and recovery.
Database administration skills.
Database administrators need to be technically educated on general database matters and to be technically competent to manage the selected database platform.
Who should own data management.
Should data management be part of the IT department? Or should it be under some other manager?
Industry trends and their effect on data management.
How will distributed and multi-media databases, data warehouses, object orientation and XML affect data management?

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