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Training: How to implement practical data quality management

How To Implement Practical Data Quality Management

Course dates

2nd - 4th June (3 Days)

Course type

Virtual

Duration

3 Days

No. of participants

No limit

Prerequisites

None

Workshop overview

This workshop will provide the participants with an understanding of the basics of Data Quality Management, and the steps required to implement a Data Quality Management process. The Practitioners Workshop will assist those charged with investigating or improving Data and/or Information Quality.

The workshop covers the following aspects of Data Quality Management:

  • 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 Meta Data in the context of DQ Management
  • 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
  • Conclusion – We put it all together within the context of Data Management

We designed this workshop 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’

Learning outcomes

We designed this workshop 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’

Intended participants

This workshop 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
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Endorsed by DAMA

This workshop is endorsed by DAMA South Africa and is helpful preparation for the DAMA CDMP Data Quality Specialist exam.

Register your team today

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