The document outlines the next steps for a data migration project, detailing the current situation, challenges, and objectives focused on achieving a go-live decision. It emphasizes the importance of resource management, establishing data quality processes, and continuous evaluation to support the implementation. Additionally, it includes an action plan for scoping activities, team structures, and project management to track progress and address issues effectively.

1. AMP Next Steps Gary Scott

2. Vision Statement AMP Vision Statement Data Migration Vision Statement

3. Goal and Objective Obtain a go-live GO Decision Supply Sufficient Data to support AMP DAY T- schedule and DAY1 Dimension Data Setup Process Master Data Reference Data Work Order Data

4. DM Current Situation Obtained High-Level Scope Definition and WBS for Data Migration Estimated low-confidence Resource Requirements Needs to show some rapid wins to the Business All resource scarce – need to deploy to meet highest value solution.

5. How Did We Get Here? Initial Scope for Data Migration Many good plans from early AMP have been revived, Scope adjusted and now resources await the go/no-go for AMP Implementation – Planning Task. Identify Business Stakeholders for Data Sources Identify Business Stakeholders for Processes Establish Measurable Success Criteria Capture Tasks, Dependencies, Status, Remaining Work and Deliverable Definitions Continually estimate needed resource and refine budget – establish contingency budget

6. Next Steps Review Analysis Completed Support Process Definitions (QA Tasks) Conduct Data Analyses Establish a very dynamic Interim Data Store for Work Order Migration Establish Synchronicity with Legacy Systems To Be Retired Ongoing Integration Partners

7. Next Steps Prototype Development Analysis – Iteration 0 Data Model Design – ETL from Source to INTERIM Construction – hybrid team Actual Data Capture Implementation – Initial Trial Select Work Orders all status / age distribution

8. Available Options Manual Migration Establish and Approve Lists of Values Data Quality Initiative – Iteration 1 Iteration 0 – is current dataset in AMP/Maximo QA Instance Current Test Data Data Profile of Data Data Map and assessment criteria

9. Recommendation Track current projects As they move forward – to show the “how I got here?” Map. Profile Legacy Data and Profile Usage Activity Establish scope of Iteration 1 Initiate Data Quality Processes Identify Root Cause Assess current practice and map to AMP Data Entry as SELECTED PROJECTS progress NOTE : We can see change and track changes in legacy system and define TRANSACTIONS. What to do next Identify action items

10. What to do Now ? Establish Best-Practice Data Quality Process Trial on COST CENTERS Trial on ASSET TYPES PGMS / DCMS / CUS / other-relateds Measure Quality from DEV Iteration 1 codebase Establish agreed measures and %var. Capture processes for Data Quality Measures Establish Base-Line Data Quality Assessment

11. What to do Now ? 1 – Establish Best-Practice Data Quality Processes Conduct Initial Data Profiling Trial on COST CENTERS Include TIDWOFIS and WO# and Job# Trial on ASSET TYPES PGMS / DCMS / CUS / other-relateds Measure Quality from DEV Iteration 1 codebase Establish agreed measures and %var. Capture processes for Data Quality Improvement Step(s) Establish Base-Line Data Quality Assessment Establish Initial Team Structure and Governance

12. What to do now ? 2 – Begin Scoping activities and establish cut-off criteria for DEV Iteration 1 & 2. Initiate Iteration 0 teams for other systems/interface types – minimal resources – quick result. Time-box future iterations (4-8 week cycles) Business Processes to address Data Quality Priorities Measure – and measure again Establish competing technology dev teams and bid based upon approved design scope, allow multiple implementations for Iteration 0 models Establish criteria for team assignment (workload)

13. What to do now ? 3 – Practice System Retirements – this involves code promotion processes (Infrastructure Team) Establish Iteration 1 – Cutover plan Plan for Dress Rehearsal #1 (Iteration) Prepare to capture and address missing data issues – task force(focus) Change Request Process Assumption/Risk review and mitigation Identify future scope (DISCOVERY). PERFORM DRESS REHEARSAL #1

14. What to do now ? 4 – Build an integrated Project Team Communication will be key Sharepoint / Knowledge Collaboration Tools Pictures and Architectural Schematics Project Team and Reporting Staff Availability and Work Prioritizing RESOURCE MANAGERS / PMO Meeting Townhalls to address Org/Morale Concerns Outsourcing Early Retirements Pension Rights and Healthcare AMP Progress and Good News…

15. What to do now ? 5- Resource Planning Form small number of teams by technology DataStage TibCo SQLServer and Scripting Oracle and Scripting (PL/SQL) Establish supporting roles DB2 DBA Support Rep. System Analysts Data Analysts Solution Architect Business SME Support where appropriate Initially combine resources and select technology. Increase Staff level over time.

16. What to do now ? 6 - Review current plan for technical resources Resource Managers Resolve Priority Conflicts Assign alternates Request additional resources Master Plan Shared Resource Usage Identify Resource Contention Assign new staff / Integrate existing Work Priorities Consensus PMs Work Plans for Key Resources