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Most asset management processes and deliverables can be traced back to five fundamental corporate datasets. The scope and quality of these datasets act as a limiting factor—predetermining how far up the asset management maturity curve an organisation can progress. Unlike other limitations, dataset constraints often require large investments in time, capital, and organizational change management to address. Asset-intensive organizations share the same fundamental datasets:
Asset Data Management: Transforming Data Overload into Strategic Value
Work Management, Maintenance Fundamentals and Business Process Optimisation
Lead Data Analytics
BHP
Rendela Wenzel
Eli Lilly and Company (US)