InfoBlueprint

Click here to see our Press Centre for Latest News and Events

To discuss your requirements
with one of our information quality
experts, or to hear more about our
services, please contact us for an
informal, no obligation, discussion.

C01 Introduction to Data Quality Management

Half-Day Seminar
All organizations rely on information created from data stored in computer systems, to run operations and to make decisions.  If this data is incomplete, invalid, inconsistent, non-standard, misinterpreted and/or not compliant with business rules – then you have a Data Quality problem.  When unreliable data is used by business processes, you have an Information Quality problem.

Unless properly addressed, hidden data and information quality issues will lead to untrustworthy information, and are major contributors to:

  1. inefficient service,
  2. preventable RISKS,  and
  3. unnecessary COSTS.

A lot of time is wasted when employees have to do work over again because of incorrect information, or have to search for the right information. Studies have shown that this costs our economy hundreds of millions of Rand every year.

Seminar Overview: 
This seminar will provide the participants with an understanding of the basics of Data Quality Management, and why it is important to an organisation’s business goals.  It is designed to help all levels of staff to:

  1. appreciate the importance and value of data and  information to their organisations and to their jobs,
  2. understand the issues, risks and costs associated with data and information quality, and the steps that can be taken to reduce their and their organization’s exposure to low quality data and information.

This Seminar will be useful to all organisational roles: Business and IT persons.

Seminar content:  

    1. What is Data Quality and how can it be measured?
    2. Difference between Data Quality Management and Information Quality Management
    3. How does Data Quality impact your Business Applications and Reporting Systems?
    4. What are the Costs and Risks of NOT doing Data Quality Management?
    5. How can a strong Business Case for Data Quality Management be made?
    6. The need for Corrective Improvement (to improve the quality of existing data)
    7. The need for Preventative Improvement (to remove the root cause of the problem, so that future  data is of good quality).

Duration:   
Half-day (9.00 to 13.00)                   

Intended participants: 
This seminar will be of interest to:

  1. Business Analysts/Managers seeking assurance that the information they use is based on reliable data;
  2. Data Stewards with responsibility for Data Quality (Accuracy, Completeness, Currency etc.);
  3. IT staff involved in Data Management / Data Quality Management.

This seminar is also the first module of the 2 day Practical Data Quality Management course for Practitioners, which continues in the afternoon and the next day. 

Presenter:
This seminar is presented by an experienced Data Quality Practitioner, and includes many illustrations taken from real-life situations.

Pre-requisites
None

Nr of participants:
Public Course:                            Min. 5   Max. 20.                 
Private (‘in-house’) course:         Max. 20

Registration:
For Course Schedules, Locations, Fees and Registration information:                                                         
See www.infoblueprint.co.za > Services > Education and Coaching,  or contact Tammy on 021 551 2410.   
We can also present this course ‘in-house’ if required. Please contact Alan Snow on 079 907 7680 to discuss your requirements.