Data collection has gotten better because of improved technology, monitoring, and expanded areas in Asset Management systems and databases.
We often collect data from multiple sources and varying management systems. Automated production and process information, while some use manual entry for certain tasks, and activity updates other information. While individuals can justify all retrieved information, they often never refer to much of it.
The challenge is to ensure that the important information is readily available to the right people, and this will vary across the different layers and functions within any business. Technical subject matter experts will be interested in details of operations while senior managers are interested in high-level information. Procurement people are interested in stock movements, Asset Technicians are interested in failure rates, Operators are interested in day-to-day production performance, and Accountants are interested in financial performance.
How to structure information
Aligning data based on critical business processes and risks (safety, production, efficiency, reliability, costs, etc)
How to present data to drive decisions and better business outcomes
Who should manage, govern, and own the data?
How to best enable data transfer from capital projects
How to best monitor older assets
Training operators and maintainers to utilise the huge amount of machine data
Brian Ropitini, Managing Director, Mana Consulting