Course Overview

This course is designed to introduce participants to the best practices in approaching data analytics initiatives, from asking the right questions to sourcing and analyzing the data, all the way until deriving insights from data and influencing decision-makers. The course is aligned with IIBA Business Data Analytics Guide and features a case study to help participants use the concepts in their work immediately.

The course covers all the knowledge domains needed for the IIBA-CBDA exam. This is an added value for those aspiring to become certified in business data analytics.

Course Objectives

By taking this course, you should expect the following:

• You will construct a good understanding of the data analytics process and tasks
• You will recognize the important areas you need to focus on while engaged in a data analytics initiative
• You will develop practical skills to perform data analytics tasks
• You will acquire the right material to prepare for the CBDA exam

Who Should Attend?

This course has been specifically designed for:

• Anyone looking to develop his/her business and data analysis skills
• Business Analysts involved in data analytics initiatives
• Data Analysts aspiring to address the business side of the data analytics initiatives
• Anyone looking to achieve IIBA-CBDA certificate

Prerequisites

Participants are expected to have some understanding of basic business practice, and to have been exposed to the capabilities and limitations of computer systems.

Course Outline

1.0 Introduction to Business Data Analytics

1.1 What is Business Data Analytics?

1.2 The Business Data Analytics Cycle

1.3 Business Data Analytics Objectives

1.4 Business Analysis and Business Data Analytics

2.0 Business Data Analytics Domains and Tasks

2.1 Identify the Research Questions

2.1.1  Define Business Problem or Opportunity

2.1.2  Identify and Understand the Stakeholders

2.1.3  Assess Current State

2.1.4  Define Future State

2.1.5  Formulate Research Questions

2.1.6  Plan Business Data Analytics Approach

2.2 Source Data

2.2.1  Plan Data Collection

2.2.2  Determine the Data Sets

2.2.3  Collect Data

2.2.4  Validate Data

2.3 Analyze Data

2.3.1  Develop Data Analysis Plan

2.3.2  Prepare Data

2.3.3  Explore Data

2.3.4  Perform Data Analysis

2.3.5  Assess the Analytics and System Approach Taken

2.4 Interpret and Report Results

2.4.1  Validate Understanding of Stakeholders

2.4.2  Plan Stakeholder Communication

2.4.3  Determine Communication Needs of Stakeholders

2.4.4  Derive Insights from Data

2.4.5  Document and Communicate Findings from Completed Analysis

2.5 Use Results to Influence Business Decision-Making

2.5.1  Recommend Actions

2.5.2  Develop Implementation Plan

2.5.3  Manage Change

2.6 Guide Organizational-Level Strategy for Business Data Analytics

2.6.1  Organizational Strategy

2.6.2  Talent Strategy

2.6.3  Data Strategy

3.0 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

3.1 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

3.2 3-Minute Story