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David Bowman
Data Warehouse Solution Architect
The
Solution Architect Consultant
An
information management architect, David Bowman helps helps
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:
- 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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