How to Implement Practical Data Quality Management

Data is at the heart of every organisation. However, if not managed properly, this can be detrimental to a business.

All organisations rely on the 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 – you have a Data Quality problem. When your business applications use unreliable Data, you have an information quality problem.

Unless properly addressed, Data and Information Quality issues will lead to untrustworthy information, contributing to:

• Inefficient delivery
• Unnecessary risks
• Non-productive costs.

Employees waste a lot of time when they have to do work over again due to frequently having to search for the right information. Studies have shown that this costs our economy hundreds of millions of Rands every year.

This course will provide the participants with the knowledge they need to implement Data Quality Management. The Practitioners Course is designed to help those who are (or will be) responsible for managing Data Quality.

• Data Quality Awareness – What your team must understand about the importance of Data Quality (DQ)
• Data Quality in Context – The role of Frameworks, DQ Dimensions, Data Models and Metadata in the context of DQ Management
• Data Quality Management – The theory of the Data Quality practice
• Assessment – How to approach conducting a Health Check on Data, how to profile Data, and what the profiling statistics tell us
• Requirements – The requirements of business Data Producers and Consumers, rules to which Data must conform and DQ Targets and Thresholds
• Measurement – How to measure the Data based on the Business Requirements
• Correction – How to “fix” incorrect Data in terms of missing, incorrect and duplicate Data
• Prevention – How to identify the Root Causes of Data defects and stop the issues from re-occurring
• Tools – An overview of the technology to assist you, what the tools can do and some of the available products
• Conclusion – We put it all together within the context of Data Management.

We designed this course to help those who are (or will be) responsible for managing Data quality to:

• Understand the issues affecting Data Quality and recognise and quantify the symptoms
• Develop an action plan to address those issues in a controlled and repeatable process
• Demonstrate how Data Quality Management improves the business and operational ‘bottom-line’
• Prepare you to obtain the DAMA CDMP Data Quality specialist certification.

* A certificate of attendance will be provided on completion of the course

This course will be of interest to Data Management Practitioners, and anyone involved in Data or Information Quality Management, such as people from areas dealing with:

• Data Governance
• Master Data Management
• Business and Systems Analysis
• Data Stewardship
• Data Analysis and Cleansing.