Solution Architecture Report - IRDA

Solution Architecture Document - IRDA Business Analytics ProjectThe table below elaborates the various layers of the information view and the services it renders.Information View Layer Description Relevance to IRDAData Acquisition LayerThis layer is responsible for providingunstructured as well as structured datato the next layer for processing.Operational/TransactionalSourcesThis is the form of operational datarelated to day to day transactions, viaeForms, Spreadsheet uploads, BulkUpload etc. Reference/Master Sources This is the reference data which isprimarily altered or uploaded by systemadministrators, and is altered rarely Unstructured Sources These is the form of data like documents,eMails, Circulars, guidelines etc.Data Integration LayerFor Structured Data: This layer uses dataprovided by the Data Acquisition layerand processes and transforms the datafor use by next layer. It enables data tobe used in a more efficient manner aswell as makes it more scalable. This layermay also house an ETL (Extraction-Transformation- Loading) program toload the data warehouse.However the most common practice is toload the transactional data in the ODSand use a transformation mechanism likean ETL to move the historical data to theData Warehouse.Multiple methodsof data acquisitionfrom InsurersMaster datamanagement onIRDA Database.Documentmanagement/publishedIRDAbyData required forvarious analyticalreports for IRDAinternal and PeerRegulatory bodies.For Unstructured Data: This layer has anindexing and Meta Tagging mechanismby means of which the unstructured datais organized.Data Aggregation & Storage layer This layer stores and maintainstransformed data received from the DataBusiness Analytics Project Page 33