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BABOK Guide
BABOK Guide
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

2.1 Tasks

2.1.2 Identify and Understand the Stakeholders

Guide to Business Data Analytics

Identifying and understanding stakeholders allows analysts to actively engage and collaborate with the variety of stakeholders involved in an analytics initiative. Each stakeholder group:
  • articulates different needs and objectives,
  • poses different types of research questions,
  • is interested in different volumes and timings of analytics results,
  • holds different skillsets for interpreting those results, and
  • possesses different levels of education in, and experience with, analytics.
Understanding the unique characteristics of each stakeholder group increases the analysts' effectiveness with each group. Before an initiative starts, analysts seek to answer the following questions:
  • Who are the stakeholders?
  • What is their level of knowledge about analytics?
  • What aspect of the project is of interest to them?
  • What communication methods and techniques are appropriate?
  • When should stakeholders be communicated to?
It is critical to understand the custodians and consumers of data to identify the relevant stakeholders for an analytics initiative.

When identifying and understanding stakeholders, analysts use techniques such as brainstorming, interviews, or reviewing process flows and organizational charts.

In an analytics initiative, it is critical to have a data view of the business problem where analysts try to understand who:
  • is creating the relevant information,
  • is exposed to the data created within the organization, and
  • are the decision-makers being influenced by the insights derived from the data.
Analysts use models such as stakeholder matrices and onion diagrams to depict aspects of their stakeholders. Analysts also create models to show how the organization’s strategic goals relate to the organizational goals and objectives and the stakeholders or stakeholder groups impacted. They create or review personas to gain a deeper understanding of stakeholders. Facilitation and communication skills, along with knowledge about the business or specific organizations, help analysts perform stakeholder identification.