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2-Day Course
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.

Too much 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.

Course Overview: 
This course will provide the participants with an understanding of the basics of Data Quality Management, and explains the steps required to implement a Data Quality Management process.  It is designed for Data Management Practitioners, and will assist those charged with investigating or improving Data and/or Information Quality.       

Course content:

Day 1 Morning:     Appreciation of Data Quality issues

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).

Day 1 Afternoon:   Data Quality Management Methodology and Techniques

1. Selecting what to measure and improve
2. Data Profiling
3. Record and Attribute Standardisation
4. De-duplication
5. Matching
6. Recording and Reporting Results
7. Developing and prioritising an ‘Improvement Action Plan’  

Day 2    Implementing and sustaining quality improvement

1. Implementing Corrective Improvement (to improve the quality of existing data)
1. The ‘What’, ‘When’ and ’How’ of implementing data improvement
2. Data Change Management
3. Validating/Quantifying improvement
2. Implementing Preventive Improvement (addressing the root cause of the problem, so that future data is of good quality).
1. Investigating and Defining root causes of data quality issues
2. Understanding who needs to be involved and who needs to be supportive.
3. Changing processes.
4. Changing people. 
5. The role of the Data Steward
3. Implementing a Consistent, Repeatable and Reliable Quality Management process
1. Automating the process
2. Quality Trend Analysis
3. The role of a Data (or Information) Quality Manager
4. Everyone has a role in Quality Management

This Course is designed to help those who are (or will be) responsible for managing Data Quality to:

1. Understand the issues affecting Data Quality and recognise and quantify the symptoms;
2. Develop an Action Plan to address those issues in a controlled and repeatable process;
3. Demonstrate how Data Quality Management improves Business/Operational ‘bottom-line’   

Duration:   
2 days (9.00 to 16.00)                   

Intended participants: 
This course will be of interest to:

1. Data Management Practitioners; (Anyone involved in Data or Information Quality Management),
2. Anyone involved with the success of projects dependent on reliable data, such as:
     - Risk Management, - Data Governance,  - Master Data Management,  - Business Intelligence,    - Performance Management,  - Customer or Product Data Management,  - Data Warehousing, -  Data Mining,                           -   System/Application migrations    - etc…  
3. Data Stewards with responsibility for Data Quality

Presenter:
This course 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.