Data quality metrics training course - for oil and gas

Friday, October 4, 2019
Kuala Lumpur
ADAX, Bangsar South

Every organisation says they want better quality data in their corporate systems – but most struggle with how to achieve it. A key step is data quality metrics – a means to assess the quality of a set of your data. Once you know the quality of your data, you have a tool to improve the quality – by cleaning it up, rejecting it, or improving your processes.

In this one day training course, Philip Lesslar, a former data quality lead with Shell, and who designed and led a data quality transformation program at PETRONAS, will explain how to do it.

We have a limited number of course tickets available for just RM 450. Register now to secure your place

To register, please either use PayPal booking system on this website, or e-mail Karl Jeffery, event producer, on jeffery@d-e-j.com

A full day training course on how to measure data quality in oil and gas companies - given by Philip Lesslar.

Course contents:
1. Data quality will always be a challenge
2. Can data quality really be measured
3. Components of a data quality metrics framework
4. Business rules
5. The players – Roles and Responsibilities
6. Dashboards
7. From Data Quality to Quality Data
8. Data Quality and Data Science
9. Making it happen



Philip Lesslar is an Independent Data Solutions Consultant who has several publications on Data Quality Management. He previously was the Data Quality Lead in his official capacity of Principal Data Management Consultant for Shell Global. Philip’s role also covered data standards, Data Management tools portfolio and some areas of competency. He focuses on quantifying data management value to the business and developed the QDI (Quality Data Inventory) approach for ensuring sustainable, fit-for-purpose data. Subsequently, Philip designed and spearheaded a transformation program for measuring and improving data quality in PETRONAS.