Managing the Oracle Data Warehouse










Donald Burleson


Program Track:
Peak Performance

Program Duration:
54 Minutes

Tower:
Business intelligence




Roles:  
Primary: Data, Information and Knowledge Management
Secondary: Project Office
Tertiary: Chief Information Officer (CIO)
 
Value Category: Manage assets
Key Issues: What are the benefits of using an Oracle data warehouse? How do I create a scope of work agreement for a data warehouse? What are the stages of evolution in a data warehouse project? What are the characteristics of successful data warehouse projects? What are the personnel requirements for a data warehouse project?
- high
- medium
- low
Architecture and Infrastructure
Business Applications
Business Management
Data Management
IT Management
 
    
Donald K. Burleson, independent Oracle database consultant and author, outlines successful strategies for creating and maintaining a robust and functional Oracle data warehouse. Because Oracle is the world's leading database, IT managers need to separate marketing hype from reality once they have an Oracle data warehouse installed. Burleson looks at Oracle data warehouses from the planning stages on. The program covers the management of end-user requirements; creating a scope of work agreement; project and staffing requirements; and how to compute the return on investment for an Oracle data warehouse project. The challenge for IT professionals is to ensure that they are able to leverage Oracle's powerful features to improve the productivity of their organizations. This program will help them meet these challenges, and address the concerns of any managers interested in using Oracle technology.

Viewers of the CD and online versions of the program will have easy access to useful Web sites devoted to data warehousing, including: CIO Magazine's Data Warehouse Research Center, The Data Warehousing Institute, The Data Management Center's Directory of Data Warehouse, Data Mining and Decision Support Resources, The Data Warehousing Information Center and The International Data Warehousing Association. Links to articles include: 'Data Warehouse: Roles and Responsibilities'; 'Data Warehousing: What Is It?'; 'Data Warehousing Concepts,' from the IBM Web site; 'Divide and Aggregate: Designing Large Warehouses' and 'Wash Me,' an article about data cleansing from CIO Magazine. White papers include: 'Critical Success Factors for Data Warehouse Engineering'; 'Eleven Steps to Success in Data Warehousing' and 'Data Warehouses, Ad Hoc Query Tools and Other Ways to Destroy Your Company.'

PROGRAM TOPICS:

  • INTRODUCTION
  • AGENDA
  • ROI
  • ORACLE DATA WAREHOUSE OVERVIEW
  • Strengths of Oracle for Data Warehousing
  • Benefits and Challenges of Managing an Oracle Data Warehouse
  • The Importance of Effective Project Management in a Data Warehouse Deployment
  • The Data Warehouse Team Should First Create a Scope of Work Agreement
  • MANAGING END USER REQUIREMENTS OF A DATA WAREHOUSE
  • Data Warehouses Evolve as a Progression of Usage Occurs
  • Stages of Evolution in Data Warehouse: Usage; Basic Analysis; Correlation Analysis; Multivariate Data Analysis; Forecasting; Modeling; Simulation; Data Mining
  • Give the End User the Ability to Extract and Cross-Aggregate Anything They Want
  • CREATING A SCOPE OF WORK AGREEMENT
  • Requirements of a Data Warehouse SOW: End User Management Must Take Part; Document System Requirements as Well as Possible; Include a Description of the Data Sources; Describe the Data Elements Used by End Users; Provide a Description of Dimension Attributes; Determine the Level of Data Granularity; Delineate Choices for Hardware and Software; List Functional Deliverables of the System; Develop a Cost-Benefit Analysis; Develop a Current Project Plan
  • Set Realistic Expectations for the Data Warehouse
  • DATA WAREHOUSE PROJECT REQUIREMENTS
  • Characteristics of Successful Data Warehouse Projects: Measurable Benefits; Properly Trained Staff; Data Quality and Consistency; Ensure Subject Privacy; Start Small and Evolve; Ensure End User Involvement; Properly Planned Infrastructure; Use Data Modeling and Stress Testing; Choose the Right Tools
  • PERSONNEL REQUIREMENTS
  • A Data Warehouse Team Uses a Matrix Organization
  • Roles in a Data Warehouse Team
  • Data Warehouse Team Members: The Project Sponsor; The Project Manager; The Warehouse Architect; The Systems Administrator; Legacy Database Experts; The Database Administrator; The Operations Manager; The Metadata Specialist; End User Interface Specialists; The Network Administrator; The Oracle Developer; The Statistician
  • Training Programs and Certifications for Oracle Data Warehouse Professionals
  • COMPUTING THE ORACLE DATA WAREHOUSE RETURN ON INVESTMENT
  • Tangible Benefits of a Data Warehouse Project
  • Intangible Benefits of a Data Warehouse Project
  • Intangible Benefits of a Data Warehouse Project: Worker Productivity
  • Intangible Benefits of a Data Warehouse Project: Fast Interpretation of Customer Behavior
  • Intangible Benefits of a Data Warehouse Project: High Quality of Marketing Efforts
  • IDC Survey: How ROI for a Data Warehouse Compares to ROI for Other IT Projects
  • Trends in Data Warehouses: Very Fast Payback Period
  • Trends in Data Warehouses: Larger ROI Variance
  • Trends in Data Warehouses: Higher ROI for Data Marts
  • Trends in Data Warehouses: Application Area Differences
  • Other Findings of the IDC Data Warehouse ROI Study
  • TIPS FOR MANAGING A SUCCESSFUL ORACLE DATA WAREHOUSE PROJECT
  • CONCLUSION

    AVAILABLE ON:

    Videotape, CD-ROM, Internet, Intranet

    Presenter:

    Donald Burleson
    View Bio | Email the Expert

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