Enabling operational excellence through the effective management of master data
Mark Puzey A and Stephen Latham AKPMG.
The APPEA Journal 56(2) 575-575 https://doi.org/10.1071/AJ15081
Published: 2016
Abstract
Many organisations in the industry have a constant struggle with managing oil and gas master data effectively to enable operations and maintenance to be carried out efficiently and safely. Poor data quality costs organisations time and money, and increases risks of production downtime. This results in inefficiencies, rework, and sub-optimal decision support.
In this extended abstract, the authors provide insight from their experience into overcoming many years of poor data quality that impact ability to analyse maintenance reliability data that can effectively drive efficiencies and reduce outages caused through breakdowns.
Insights includes insights from a global fact-finding mission, analysing the big data management of large oil and gas and related companies around the world – with valuable lessons in understanding why these types of data projects fail so often. Challenges include finding where and why data quality is in an unreliable state, and additionally, how to allow cleansed and new data to remain clean and effective and promote efficiency. Other challenges include changing organisation behaviour to value data, and providing streamlined processes to sustain data quality.
Mark Puzey has more than 30 years’ experience in providing consulting services to the oil and gas industry. He has led KPMG’s IT Governance, Strategy & Performance practice in Asia Pacific for eight years. He is presently a Partner at KPMG Australia. Mark has been in charge of numerous data projects focusing on quality, conversion and cleansing. He has undertaken multiple process improvement engagements in the oil and gas and other industries, ranging from data integrity strategy and initiative design, to governance and process improvement. This has included master data improvement initiatives focused on engineering and procurement data to: enable maintenance and operational excellence; utilise in the lead-in to, and after ERP implementations; and, enable big data analytics to be capitalised on. Mark’s broader experience includes information, project, stakeholder and materials management improvement and business process improvement in the oil and gas industry. Mark has presented papers on obtaining value from governance initiatives, and information systems at previous APPEA conferences. |
Stephen (Steve) Latham has spent more than 20 years in the oil and gas industry in Australia, North America and Asia prior to joining KPMG. He has more than 30 years’ experience in multiple business functions including more than 20 years extensive experience in project management with business process improvement, system implementations, and supply chain improvement initiatives. He is presently an Associate Director, Management Consulting at KPMG Australia. During many years of managing numerous major business and IT transformation projects across a wide range of industry sectors, Steve has developed a passion for understanding why data quality impacts so many projects and business outcomes. He brings a wealth of practical experience in managing master data issues and the impact on the bottom line. He is a Certified Supply Chain Management Professional (SCMP) and holds a Diploma in Supply Chain Management. He is also a member of the Supply Chain Management Association, the Project Management Institute, and is a registered Prince2 practitioner. |
References
Gartner Research, 2011— Measuring the business value of data quality. Stamford: Gartner, Inc.KPMG, 2014—Master data survey. Helsinki: KPMG International.
