2. Business Data Analytics Domains and Tasks
2.1 Identify the Research Questions
Guide to Business Data Analytics
Business Data Analytics Domains
Browse
The Standard
BABOK Guide
BABOK Applied
Agile Extension
Business Data Analytics
Product Ownership Analysis
The Standard
BABOK Guide
BABOK Applied
Agile Extension
Business Data Analytics
Product Ownership Analysis
10. Techniques
Introduction
10.1 Acceptance and Evaluation Criteria
10.2 Backlog Management
10.3 Balanced Scorecard
10.4 Benchmarking and Market Analysis
10.5 Brainstorming
10.6 Business Capability Analysis
10.7 Business Cases
10.8 Business Model Canvas
10.9 Business Rules Analysis
10.10 Collaborative Games
10.11 Concept Modelling
10.12 Data Dictionary
10.13 Data Flow Diagrams
10.14 Data Mining
10.15 Data Modelling
10.16 Decision Analysis
10.17 Decision Modelling
10.18 Document Analysis
10.19 Estimation
10.20 Financial Analysis
10.21 Focus Groups
10.22 Functional Decomposition
10.23 Glossary
10.24 Interface Analysis
10.25 Interviews
10.26 Item Tracking
10.27 Lessons Learned
10.28 Metrics and Key Performance Indicators (KPIs)
10.29 Mind Mapping
10.30 Non-Functional Requirements Analysis
10.31 Observation
10.32 Organizational Modelling
10.33 Prioritization
10.34 Process Analysis
10.35 Process Modelling
10.36 Prototyping
10.37 Reviews
10.38 Risk Analysis and Management
10.39 Roles and Permissions Matrix
10.40 Root Cause Analysis
10.41 Scope Modelling
10.42 Sequence Diagrams
10.43 Stakeholder List, Map, or Personas
10.44 State Modelling
10.45 Survey or Questionnaire
10.46 SWOT Analysis
10.47 Use Cases and Scenarios
10.48 User Stories
10.49 Vendor Assessment
10.50 Workshops
2. The Agile Mindset
Introduction
2.1 What is an Agile Mindset?
2.2 The Agile Mindset, Methodologies, and Frameworks
2.3 Applying the Agile Mindset
2.4 Agile Extension and the Agile Manifesto
2.5 The Business Analysis Core Concept Model ™
2.6 Principles of Agile Business Analysis
2.7 The Business Analysis Core Concept Model™ and the Principles of Agile Business Analysis
7. Techniques
Introduction
7.1 Backlog Refinement
7.2 Behaviour Driven Development
7.3 Impact Mapping
7.4 Job Stories
7.5 Kano Analysis
7.6 Minimal Viable Product
7.7 Personas
7.8 Planning Workshops
7.9 Portfolio Kanban
7.10 Product Roadmap
7.11 Purpose Alignment Model
7.12 Real Options
7.13 Relative Estimation
7.14 Retrospectives
7.15 Reviews
7.16 Spikes
7.17 Storyboarding
7.18 Story Decomposition
7.19 Story Elaboration
7.20 Story Mapping
7.21 User Stories
7.22 Value Modelling
7.23 Value Stream Mapping
7.24 Visioning
3. Techniques
3.1 Business Simulation
3.2 Business Visualizations
3.3 Concept Modelling
3.4 Data Dictionary
3.5 Data Flow Diagrams
3.6 Data Mapping
3.7 Data Storytelling
3.8 Decision Modelling and Analysis
3.9 Descriptive and Inferential Statistics
3.10 Extract, Transform, and Load (ETL)
3.11 Exploratory Data Analysis
3.12 Hypothesis Formulation and Testing
3.13 Interface Analysis
3.14 Optimization
3.15 Problem Shaping and Reframing
3.16 Stakeholder List, Map, or Personas
3.17 Survey and Questionnaire
3.18 Technical Visualizations
3.19 The Big Idea
3.20 3-Minute Story
6. POA Techniques
Introduction
6.1 Backlog Refinement
6.2 Business Cases
6.3 Collaborative Games
6.4 Customer Journey Map
6.5 Decision Modelling and Analysis
6.6 Definition Concepts (Ready, Delivery, and Done)
6.7 Empathy Map
6.8 Focus Groups
6.9 Human-Centred Design for Products
6.10 Job Stories
6.11 Kano Analysis
6.12 Metrics and Key Performance Indicators
6.13 Minimal Viable Product
6.14 Non-Functional Requirements Analysis
6.15 Personas
6.16 Problem Definition Analysis
6.17 Product Backlog Management
6.18 Product-Market Fit
6.19 Product Roadmap
6.20 Real Options
6.21 Reviews
6.22 Risk Analysis and Management
6.23 Spikes
6.24 Stakeholder Lists and Maps
6.25 Story Mapping
6.26 Value Modelling
6.27 Value Proposition Canvas
6.28 Value Stream Mapping
6.29 Visioning
