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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

3. Techniques

3.19 The Big Idea

Guide to Business Data Analytics

3.19.1 Purpose

The “big idea” is a concept that helps analysts communicate an important foundational or central insight to stakeholders. By removing extraneous information, the stakeholders better understand the essence of the key insight.

Effectively communicating the big idea increases the chance of influencing key stakeholders to take a recommended course of action.
3.19.2 Description

The big idea is used to convey an insight, story, or concept in a way that gains attention from stakeholders. The big idea distills an interpretation of an insight or answer to a question into one single, powerful statement of fact that compels key stakeholders to make a decision.

There are three integral parts to a big idea:

  • Understanding the audience: Who are the key stakeholders? Who are the decision-makers? Who are the influencers? What are their biases? What is the action been recommended?
  • Understanding the impact on key stakeholders: Why should certain stakeholders agree to a specific business decision? What would happen if the recommended action is not followed?
  • Communicating the big idea: Communicate a data-driven recommendation that satisfies the business need. Simply stated as a concise statement about what needs to be done and what maybe lost if the recommended is not followed.
The simplicity of the big idea ensures that stakeholders understand what is at stake. The big idea is often used during data presentations, along with the results, narrative, and business visualizations to frame the insights and recommendations.

Using a structured approach helps refine the big idea. The following template is one example:

big-idea-template-rev1.jpg
3.19.3 Elements
 
.1    Audience Details (Who is your audience?)

The details of the audience include who is impacted by the analytics outcome or the insight that analysts want to communicate to a specific audience.

Analysts carefully assess if there are stakeholder biases that could impact the recommended action or if there could be conflicts created by the recommendation. Analysts consider what level of influence or impact key stakeholders could have on the recommendation or insight being communicated. Reviewing the stakeholder analysis that was completed during the analytics initiative is a critical component to helping formulate the big idea.

.2    Impact of Change (What is at stake?)

The impact of rejecting the recommended course of action is addressed through the big idea. Negative impact can be widespread and may include impacts to existing processes, future finances, brand value, and even the business model. The impact is explained in a way to that the audience can relate. For example, executive decision-makers may not want to get into system level changes or impact, but will be very interested in the business outcome. The potential impact also includes a discussion of opportunity costs and risks.

.3    The Big Idea Outline

The big idea articulates the primary insight discovered from the analytics effort. The business decision, course of action, or the insight explained through the big idea may be accompanied by an explanation of success. For example, “Tracking success of our marketing campaign” is not the big idea, but “10% increased investment in digital marketing would result in a 40% increase in revenue by end of the next quarter” is. The big idea is fully formed and described in a way that compels action from decision-makers.
3.19.4 Usage Considerations
 
.1    Strengths

  • Provides a direct and declarative statement involving a business decision.
  • Reduces ambiguity in interpretation of insights among stakeholders.
  • Can be used as a concluding summary for a 3-minute story, a data journey, a business visualization, or an analytics solution demonstration to underline the expected outcome.
.2    Limitations

  • The big idea may not be useful if there is a lack of evidence or presence of bias from stakeholders.
  • Without proper stakeholder analysis the big idea may lead to conflict.
  • Multi-level insights are difficult to communicate through the big idea.