Data Overview
Objective: Gain an understanding of the 'Data' section in Assetic Predictor.
After setting up a template, the next step is to import asset data for use in modeling. This is done in the 'Data' section of a portfolio. A user can import different sets of data to be used during the modeling process. For example, sets of data on an annual basis or sets of data broken up by region. A data set is a collection of detailed asset information, and once a data set is imported into Predictor it is advised that the data set not be updated or changed as it will form the baseline for comparison with new data sets added in the future.
Data used in Predictor modeling generally includes:
- Asset information details such as unique asset ID, asset name, facility ID, physical location, relative asset size, asset hierarchy
- Details of the physical condition of assets such as their overall physical condition, or asset component conditions such as roof condition, floor condition, and fit-out condition.
- Functionality details of the assets which describe the fitness of the asset for its intended use
- Asset capacity
- Asset usage
All necessary data required for modeling should be imported through an input data file. For example, a Microsoft Excel file output of an organization's Asset Register can be prepared for import and fed directly into Predictor. All data that is imported into Predictor must be based on the currently selected Template, and under each template, it is possible to import several different of data sets (e.g. data sets relevant to different years or different regions).
