Bus Architecture

Value Chain Identifies the natural logical flow of an organization’s primary activities Operational source systems produce snapshots at each step of the value chain which in turn generates metrics Metrics translate to several fact tables and analysis of these give better evaluation of overall performance

Value Chain

Integration Needs of high-level managers use data generated across business processes Example: customer relationships from end to end perspective –Quotes, orders, invoicing, payments, customer service Consistent data

Integration

Bus Architecture Standard that allows for implementing different data marts by different groups at different times Provides rational approach to decomposing the enterprise data warehouse planning task Tech design tool, pm tool, com tool Integrated with value chain

Bus Architecture

DW Bus Matrix

Rows –Data marts Columns –Dimensions X –Dimensions belonging to data marts

Integrating stovepipes Honest appraisal of non-integrated data marts –Gap analysis between stovepipe environment and DW architected goal Develop incremental plan to integrate stovepipe into DW Sell internally as it will use resources and need commitment Be prepared for the possibility of scrapping stovepipe

Conformed Dimensions Identical or strict mathematical subset of most granular detailed dimension The following are consistent: –dimension keys –attribute column names –attribute definitions –attribute values Replicated either physically or logically throughout enterprise Built in staging area

Conformed Dimensions: Flavors Exact same dimension –Date dimension connected to sales fact is same as the date dimension connected to inventory fact –May also be same physical table in DB Same level of detail but only subset of rows –Product rows only pertaining to particular part of user’s business

Conformed Dimensions: Flavors Roll-up dimensions –Different granularity –Attributes common to both detailed and rolled-up tables should be labeled, defined, and valued identically

Dimension Authority Responsible for each conformed dimension Define, maintain, and publish particular dimension and subsets to data marts Stage dimension data

Conformed Facts In general fact table data is not explicitly duplicated in multiple data marts In case there is need, then underlying definitions, equations, and units of measure for facts must be the same if these are to be called the same name