1 dw projectplanning


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Planeacion del Proyecto

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1 dw projectplanning

  1. 1. DATA WAREHOUSINGProject Planning 1
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  3. 3.  Defining the Project  Three possible scenarios for initiating a DW project ▪ Demand form a lone business executive, a DW believer ▪ Demand from multiple business executives ▪ No demand from business executives, initiated by a CIO
  4. 4.  Defining the Project  Assessing the Readiness (of the enterprise) for a DW ▪ 5 desirable factors ▪ Strong Business Management Sponsor(s) ▪ Compelling Business Motivation ▪ Business Partnership ▪ Existence of Analytic Culture ▪ Technical Feasibility
  5. 5.  Defining the Project 1. Developing the Preliminary Scope Scope and justification for the initial delivery Initial focus: single business requirement supported by data from few sources (start ‘small’) Limiting the number of initial DW users
  6. 6.  Defining the Project 2. Building the Business Justification • Determining the Financial Investments and Costs – HW, SW, Development, Maintenance, Education, etc. • Determining the Financial Returns and Benefits – Focus on revenue or profit enhancement, rather than reducing cost – Describe and quantify the opportunities and benefits that DW can bring (e.g using a proposed DW can reduce the cost of acquiring new customers by $75 each, while adding more new customers annually, than before) • Combining the Investments and Returns to Calculate ROI
  7. 7.  Planning the Project 1. Establishing the Project Identity ▪ naming the project 2. Staffing the project ▪ Sponsors and Drivers ▪ Project Managers and Leads ▪ Core Project Team ▪ Business System Analyst, Data Modeler, DW-DBA, Data Staging Designer, End User Application Developer, DW Educator ▪ Special Teams (contribute on a special, limited basis) ▪ Technical/Security Architect, Tech-Support Specialist, Data Staging Programmer, Data Steward (temp data administrator), DW QA Analyst 3. Developing the Project Plan ▪ The plan should be integrated and detailed
  8. 8.  Some best practices for implementing a data warehouse (Weir, 2002):  Project must fit with corporate strategy and business objectives  There must be complete buy-in to the project by executives, managers, and users  It is important to manage user expectations about the completed project
  9. 9.  Some best practices for implementing a data warehouse (Weir, 2002):  The project must be managed by both IT and business professionals  Develop a business/supplier relationship  Be politically aware
  10. 10.  Failure factors in data warehouse projects:  Cultural issues being ignored  Unclear business objectives  Unrealistic expectations
  11. 11.  Issues to consider to build a successful data warehouse:  Starting with the wrong sponsorship chain  Setting expectations that you cannot meet and frustrating executives at the moment of truth  Loading the warehouse with information just because it is available  Choosing a data warehouse manager who is technology oriented rather than user oriented