Planeacion del Proyecto

1. DATA WAREHOUSING
Project Planning
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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.  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.  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.  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.  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.  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.  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.  Failure factors in data warehouse projects:
 Cultural issues being ignored
 Unclear business objectives
 Unrealistic expectations

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