Author: James Kovacevic
Why is it that asset planning, maintenance and life cycle extensions do not yield the results expected or take substantially more resources than expected? Often times, the data required to make this improvement is in an unusable state, and considerable resources are required to cleanse the data prior to use.
Asset management requires complete, quality data to make the best decisions for the organization. In order to have that data, the business has to take data seriously. To take data seriously, the business must implement effective controls in the management of the data. This presentation will discuss how to properly manage data for asset management.
Pillar 5: Work Management