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Many businesses collect lots of data that they don’t do anything with. This data is stored and categorized but often does not see the light of day. In other cases, when a business wants to develop a process, such as health and risk modeling for their assets, they don’t feel like they have the quality data required, confidence in its correctness is low, it may be too old, inaccessible, or simply not exist. In this webinar, we examine the key data points required for asset health and risk modelling. We look at how to identify gaps in data and how to backfill those gaps. What you can do with a minimal amount of data and how this can help prioritize data inspections and investments. We consider the role of data analysis and the purpose and process of creating an information gathering plan. Key takeaways Understand the data points for asset modeling. Know what you can do with the data that you've got and how it fits into the models. How to create a plan to backfill asset data in an economical and methodical way. Check out our Invest software: https://eatechnology.com/americas/pro...