Review Current Business and Technology Scenario
Define and Mitigate Business and Technology Risks
Define optimal Business Intelligence environment with options
High level Ontology and project phasing
Review existing Data Warehouse
Define Ontology and enhancement to warehouse thru bus architecture
Tools optimization, data modeling, metadata definitions and analytics
Scalable model for additional subjects within the organization for a phased implementation plan
Define Subject area, Ontology - logical and physical on a bus
Provide data lineage thru end to end metadata
Scalable model for additional subjects within the organization for a phased implementation plan
Derive value thru iterative approach
• Data Services
• Data Integrator
• Data Quality (First Logic)
• SSIS/ DTS
Metadata Tools
• Universe
• Technical Metadata
• Metadata Manager
• Webi
• Crystal
• Deski
Dashboards
• Xcelcius
• Excel
• Performance Management Tools
Installation of Rapid Marts
Scope gaps, extend models, define new metrics and modify packages
Process improvement, enhancement and optimization
Advocate process refinement and better performance
Extend BW into a bus architecture
Eliminate BEX Reporting and BW Architectural limitation
Business based scalable model for additional subjects within the organization for a phased implementation plan
NetWeaver integration and Master data definition
Creating structure for unstructured data
Business Objects SAP Text Analysis (Inxight) product based solution
Data Warehouse integration capabilities
Metadata integration or stand-alone
Analytics, Reporting and Dashboards







