A Roadmap for BI practice for enterprises. Shows the steps, issues to address and methods for implementing analytics.

1. BI Data and Business Intelligence Practice Evaluate & Assess Functional Requirements Detailed Design Develop & Build Beta Test & Training Migrate & Go Live Maintain

2. BI Data and Business Intelligence Practice Business Ingenuity BI practice is all about getting the right information in the proper sequence, to understand the client requirements before committing resources and budgets. We give clients two options for project engagements: Fixed price with agreed upon deliverables (Waterfall Process) Iterative design with client feedback at each stage (Agile SCRUM Process) With both options, clients review and approve the results of each phase with project-specific milestones to measure progress, and keep the work flow on track and on time. Business Ingenuity BI practice is agnostic in its recommendations. We evaluate software and hardware that match a client’s needs, regardless of our relationships with partner/vendor offerings.

3. BI Data and Business Intelligence Practice Project Criteria Scope and Complexity - in data models, tables, queries, external system data flows, analytics and commerce requirements. Quality - Does existing system require extensive business process re-engineering or simple migration Functional Gaps - between existing system and proposed future requirements BI - expertise in similar business models and industry applications Engineering Assessment - complexity of auditing and understanding existing application code.

5. Prototypes generally cover the User Interface and the database schema design

6. Prototypes reflect an existing application and new requirements as defined by the client.

7. Business Ingenuity BImethod uses rapid application development (RAD) using a small team of multi-discipline participants – we and the client together

9. Plumbing that defines the process and systems that are required to support or interact

10. User data input logic and validation

11. Data schemas and data flows between sub systems

12. Testingenvironment and business rules

13. Functional specifications for integration with vertical data stacks and business functions

15. An important milestone is certifying the new server configuration for security, performance and failover

16. At this stage, the client is ready to explore how their data can be transformed into information

18. The second metrics areto identify what data schemas do not operate in conjunction with the new design

19. The third metrics are to identify which functions improve or hinder the overall efficiency of the new design

21. BI Data and Business Intelligence Practice Maintain As problems and bugs appear, we provide a quick on call resolution to your data environment or any troubleyou may have with applying your analytic toolset to your data Enhancements that are discovered post deployment are commonplace. MAPS BI allows a client to call on our expertise in improving process thru put or enhancing existing query methods

23. Normalization

24. Maintenance

25. Programming

26. Constraints & Indexing

27. Data Records

28. Security

30. BI Database Engineering Audits Normalization Maintenance

31. BI Database Engineering Audits Programming

32. BI Database Engineering Audits Constraints & Indexing

33. BI Database Engineering Audits Data Records Security

34. BI Database Engineering Audits Database & Server