IIBA

Business Strategy, Requirements, and Performance Analysis

(UOP-DSC400)
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Skills You’ll Get

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1

Introduction to Business Data Analytics

  • What is Business Data Analytics?
  • The Business Data Analytics Cycle
  • Business Data Analytics Objectives
  • Business Analysis and Business Data Analytics
  • Applications of Data Analytics
2

Identify the Research Questions and Source Data

  • Define Business Problem or Opportunity
  • Identify and Understand the Stakeholders
  • Assess Current State
  • Define Future State
  • Formulate Research Questions
  • Plan Business Data Analytics Approach
  • Techniques - Identify the Research Questions
  • Plan Data Collection
  • Determine the Data Sets
  • Collect Data
  • Validate Data
  • Techniques - Source Data
  • A Case Study for Source Data
3

Analyze Data

  • Develop Data Analysis Plan
  • Prepare Data
  • Explore Data
  • Perform Data Analysis
  • Assess the Analytics and System Approach Taken
  • Techniques
  • A Case Study for Analyze Data
4

Reporting Results and Influence Business Decision-Making

  • Validate Understanding of Stakeholders
  • Plan Stakeholder Communication
  • Determine Communication Needs of Stakeholders
  • Derive Insights from Data
  • Document and Communicate Findings from Completed Analysis
  • Techniques - Interpret and Report Results
  • A Case Study for Interpret and Report Results
  • Recommend Actions
  • Develop Implementation Plan
  • Manage Change
  • Techniques - Use Results to Influence Business Decision-Making
  • A Case Study for Use Results to Influence Business Decision-Making
5

Guide Organizational-Level Strategy for Business Data Analytics

  • Organizational Strategy
  • Talent Strategy
  • Data Strategy
  • Techniques
  • Competencies
  • A Case Study for Guide Organization-Level Strategy for Business Data Analytics
A

Appendix A: Techniques

  • Business Simulation
  • Business Visualizations
  • Concept Modelling
  • Data Dictionary
  • Data Flow Diagrams
  • Data Mapping
  • Data Storytelling
  • Decision Modelling and Analysis
  • Descriptive and Inferential Statistics
  • Extract, Transform, and Load (ETL)
  • Exploratory Data Analysis
  • Hypothesis Formulation and Testing
  • Interface Analysis
  • Optimization
  • Problem Shaping and Reframing
  • Stakeholder List, Map, or Personas
  • Survey and Questionnaire
  • Technical Visualizations
  • The Big Idea
  • 3-Minute Story

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