- Data Structure
- One of the key aspects of our solution is the way we structure the data. This gives us the facility to easily add on or change aspects without having to redesign the solution. In short we collect information per Entity and per Association.
- Entities
- An entity is something of distinct existence such as Clients, Employees, Suppliers, Users, Locations, Departments, Products, Equipment etc.
- Associations
- This is the "links" that exist between Entities and include relations, ownership, movement, transfer etc. In a lot of instances these associations are time sensitive such as for instance ownership, tenancy etc.
- Attributes
- For each Entity or Association as many attributes can be stored as is required. This can be any piece of data that helps describing and categorising information. These collections of information form part of the "DNA" that makes each Entity and Association Unique.
- Analysis
- The standard analysis that we perform on the data is:
- Distribution
- All data is analysed by Attribute/Cluster of Attributes to establish the distribution and identify anomalies
- Trends
- Over and above identifying the distribution we also track the direction of movement of a period of time to see what trends emerge.
|
|