Making the decision: will BI initiatives pay off for you?
Introduction to Business Intelligence are expensive initiatives that shouldn’t be taken lightly. Both involve high risk — and high reward — for the most experienced project manager or business analyst. Project management is especially critical for a data warehouse project. Without good management, projects are prone to run late, go over budget, deliver low quality, and most importantly, simply miss expectations.
Learn how to:
- Implement best practices Identify business and technical drivers for the project
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Gather and prioritize business and technical requirements
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Identify critical success factors and mitigate risk
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Scope out current and future project phases
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Identify organizational and cultural issues, including staffing, roles, and responsibilities
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Manage user expectations for function, schedules, performance, and availability
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Determine data warehouse methodology, project planning, and project control
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Discern effective change control
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Prepare for success in deployment, rollout and ongoing support
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Implement effective management monitoring and communication
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Harness the most proven data warehouse/BI best practices
Your understanding determines your success
It is imperative that project managers and business analysts allocate sufficient time to gain a complete understanding of the corporate vision including:
- Short and long term objectives and requirements
- Strategic plan to meet those objectives and requirements
- Challenges and obstacles
- All the key performance indicators (KPIs)
The data warehouse project manager or business analyst must embrace new tasks and deliverables, develop a different working relationship with the users, both business and IT, and work in an environment that is far less defined than with traditional operational systems.
Specifically you will:
- Plan by exercise selected portions of your project
- Discuss best practices that are applicable to your project
- Identify critical success factors and risks impacting your project
- Understand how to organize and mobilize both IT and business to achieve success
- Gain a detailed understanding of data warehousing and business intelligence projects
This course helps develop the skills needed to usher projects through all phases of planning and implementation. It provides a solid basis on: test data, metadata planning, data stewardship, governance, backup planning, ROI measurement, documentation, support preparation, user training, communications planning, and other elements of a successful data warehouse.
Immediate Benefits of This Workshop:
- Understand how to develop a comprehensive project plan for your data warehousing or business intelligence project that will lead to successful business solutions
- Grasp how to gather and prioritize business and technical requirements
- How to scope out current and future project phases
- Understand the organizational and cultural issues, including staffing, roles, and responsibilities
- How to manage user expectations for function, schedules, performance, and availability
- How to identify critical success factors and mitigate risk
- Understand what data warehouse methodology, project planning, and project controls you need
- Determine effective change controls for an iterative DW/BI approach
- How to prepare for successful deployment, rollout and ongoing support
- Identify and select appropriate best or pragmatic DW/BI practices for your project
- Recognize the differences between a data warehouse or BI project and a standard IT project
- Understand data quality and integrity metrics
- Grasp the ETL process
- Determine how your current BI tools will fit into your project
- Comprehend a standard test plan for a data warehouse or BI project
- Identify potential rollout strategies for your data warehouse or BI project
- Understand how to fill the communication gaps between IT and business teams
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