Solution Architecture Report - IRDA

Solution Architecture Document - IRDA Business Analytics Projectdepartments. Some of them are unique to a particular department such as broker which is relevant onlyfor intermediaries.Dimensions have attributes in them which are the characteristics metadata elements to further detailout a dimension. A subject area is represented by fact table which represent the metrics or measure in aparticular subject area. Dimensions are linked to a fact table using a unique identifier (a key / ID) whichshows that the kind of relationship it has with the fact and also the level of granularity at which themetric is analyzed. For example, if month ID is connected with a fact table, it means the metrics in thefact table for that particular subject area are analyzed monthly with respect to the time dimension. Itcan be represented in the diagram below: – TimeInsurer1. Insurer ID2. Insurer Name3. Insurer Type4. Date of RegistrationRelationship(Granularity)1. Year ID2. Half Year ID3. Quarter ID4. Month ID5. DayABC FactDimensions/Parameters1. Insurer ID2. Month IDABC MetricsFact Table(Metrics)10.2 Form De duplication MatrixFollowing the data model, all forms in the particular subject area are listed down along with all thesimilar forms from other departments. To facilitate the form de duplication process purpose, a matrixhave been prepared which shows in a subject area across what dimensions or parameters the differentforms are capturing the data. It shows a snapshot of the dimensional commonality across differentforms. Also, similar forms from other departments which capture similar data are also shown with theirdimensional intersection which helps in finding out the overlaps across interdepartmental dataBusiness Analytics Project Page 48