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David Bowman
Data Warehouse Solution Architect

The Solution Architect Consultant

An information management architect, David Bowman helps helpsDavid Bowman organizations accelerate product launch, improve competitive edge and reduce costs.

He established a successful consulting practice in Ottawa in 1989, relocated to Saint Lambert (Montreal) in 1995 and now provides management consulting services in the United States, Canada and Europe.

David Bowman has more than thirty-five years of information systems engineering, data warehouse architecture, and project management consulting experience.

Information Management Architect Services

David Bowman has earned an international reputation for helping clients translate complex information management needs into practical solutions, and for providing technical leadership required to ensure very rapid project development, successful implementation and reduced production support costs.

He helps clients when they need to reduce data warehouse development and production support costs, and they require specialized data warehouse architect expertise to plan, design and direct rapid delivery of on-time, cost effective solutions
His consulting services specifically help IT project managers ensure cost efficient data warehouse architecture, rapid project delivery, and quality assurance of all project deliverables.

The Data Warehouse Solution Architect Approach

Planning and analysis
  • Starts by working with senior management to create a data warehouse business case which clearly outlines management expectations, and project scope;
  • Requirements analysis commences upon approval of the business case and includes directing project team members to specify and secure approval for:
    • Data requirements, including:
      • Logical data model; and
      • Dimension data model;
    • Data movement requirements, including source to target mapping;
    • Data conversion and historical data requirements;
    • Data warehouse security requirements;
    • Data quality requirements;
    • Business intelligence reporting requirements including any business intelligence dashboard requirements;
    • End user requirements including:
      • Functional requirements; and
      • Non functional or system requirements including production support; and
    • Requirements management plan.
Project planning
  • Finishes upon approval of the requirements specification;
  • Delivers project management plans including:
    • Project implementation plan;
    • Project team management plan;
    • Project management approach;
    • Communication plan;
    • Risk management plan;
    • Configuration management plan;
    • Project quality assurance plan;
    • Training plan;
    • Test plan; and
    • Scope management plan.
Architecture and Design and Development
  • Starts upon approval of requirements analysis and project planning; and
  • Delivers and/or directs the delivery of all data warehouse architecture, including all data base design documentation, data movement, data conversion, data quality, and business intelligence design specifications; and
  • Provides technical leadership to the development, system testing, and integration test teams
Quality Assurance Testing
  • Commences upon approval of development, and includes
  • Providing technical leadership for defect management, and release testing
Data warehouse implementation
  • Relies heavily on mentoring client teams and transferring knowledge; and
  • Provides on-going technical leadership, coaching and training to ensure successful implementation.

The Results

A fully functional data warehouse with minimal production support burden

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