Agile BI: Value-Driven Data Warehousing and BI Training in France

• Data warehouse and BI project managers
• Directors and leaders
• Architects, designers, developers, and administrators
• Testers
• Business intelligence practitioners
• Business analysts and product owners

• Story point estimation
• Story prioritization techniques
• Product backlog grooming
• Capacity-based planning
• Story conferencing
• Sprint backlog creation and commitment
• Team roles and responsibilities
• Team self-organization and self-management
• Kanban and scrum
• Feature showcase practices
• Retrospectives for continuous learning and improvement
• Writing good BI/DW user requirements/stories
• Slicing epics into smaller stories

1. Introduction

• Agile Overview
• Agile Manifesto Exercise

2. How Scrum Works

• Scrum Overview
• Product Backlog Prioritization
• Product Backlog Management
• Story Conferencing
• Sprint Tracking
• Capacity-based Planning
• Daily Scrum
• Project Monitoring
• Sprint Showcase
• Executive Showcase
• Sprint Retrospective
• Adapt and Close

3. Scrum and Kanban

• Lean & Agile Principles
• Scrum Basics vs. Kanban Basics
• Kanban Example
• Kanban Metrics
• Value Stream Mapping
• Limiting WIP
• Scrum and Kanban Cadence
• Continuous Improvement
• Scrum & Kanban Summary
• Kanban Exercise

4. User Stories

• Capabilities to Stories
• User Story Template
• Well-Written Stories
• Stories are Not Requirements
• Architecturally Complete Stories
• User Story Exercise

5. Story Slicing

• Epics
• Slicing Epics
• Anti-Stories
• Ridiculously Thin-Slicing
• This-Slicing Points in the DW/BI Architecture
• Story Slicing Exercise

6. Relative Estimating

• Agile Estimating & Conventional Estimating
• Absolute vs. Relative Estimating
• T-Shirt Sizing
• Story Point Estimating
• Estimating Poker

7. Building Project Community

• The Agile Project Community
• Self-Managing and Self-Organizing Teams
• Shared Values: Team Working Agreements
• Honoring Commitments
• Visual Controls
• Agile Roles