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AUTHORS

TIM KING

Tim is a somewhat accidental leader in the subject of data quality. He was in the right place at the right time in 2006 to be appointed by the International Organization for Standardization (ISO) as convenor of the newly created working group, Industrial Data Quality (ISO/TC184/SC4/WG13). He has since learnt from more than 150 participating international experts in the subject to develop ISO 8000, the international standard for data quality.

In fact, Tim had already been building his own relevant expertise by developing and implementing standards for data exchange during the previous 15 years. He is employed by Babcock International, where, alongside his standards work, he has undertaken a large number of consultancy projects to deliver increased value from data. These projects are typically for owners and operators of high-value, complex assets. These organisations have included NATO, Shell, Rolls-Royce, Network Rail, the UK National Nuclear Laboratory and the UK Ministry of Defence.

To support these consultancy projects, Tim has developed approaches for testing the maturity of organisations in managing and exploiting data. He is a Fellow of BCS and also of the Institute of Mechanical Engineers.

Outside work and family life, Tim’s main passion is for the sport of croquet, which he plays at international level.

JULIAN SCHWARZENBACH

Julian is a data manager and ‘data evangelist’ with many years of experience across various industries and organisations in using data to achieve positive organisational outcomes.

Having started his working life as an engineer, Julian’s career has gradually moved to focus on data through roles in organisations in steel fabrication and heavy engineering, automotive component manufacturing, quarrying and water. Consultancy roles have covered industries as varied as rail, water, electricity transmission, social housing, petrochemicals and ancient monuments. Much of Julian’s focus on data management has been as an enabler for effective asset management of infrastructure and maintenance management.

Managing Data Quality

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