Business Data Analytics

Part 1: Introduction to Business Data Analytics – Practitioner View

·        What is Business Data Analytics?

·        Business Data Analytics as a Movement

·        Business Data Analytics as a Capability

·        Business Data Analytica as a Data-centric Activity Set

·        Business Data Analytics as a Decision-Making Paradigm

·        Business Data Analytics as a Set of Practices and Technologies

·        Business Data Analytics Objectives

·        Business Analysis and Business Data Analytics

·        Why Data Analytics Matter

·        Understanding Data Analytics

·        Data Analytics Illustrations

·        Module Exercise

Part 2: Business Data Analytics Domain and Tasks

·        Identify the Research Question

·        Define Business Problem or Opportunity

·        Assess Current State

·        Define Future State

·        Formulate Research Question

·        Plan Business Data Analytics Approach

·        Section Exercise/Discussion

·        Source Data

·        Plan Data Collection

·        Determine the Data Sets

·        Collect Data

·        Validate Data

·        Section Exercise/Discussion

·        Analyze Data

·        Develop Analysis Plan

·        Prepare Data

·        Explore Data

·        Perform Data Analysis

·        Assess the Analytics and System Approach Taken

·        Section Exercise/Discussion

·        Interpret and Report Results

·        Identify and Understand the Stakeholders

·        Plan Stakeholder Communication

·        Determine Communication Needs of Stakeholders

·        Derive Insights from Data

·        Document and Communicate Finds from Completed Analysis

·        Section Exercise

·        Use Results to Influence Business Decision – Making

·        Recommend Action

·        Develop Implementation Plan

·        Manage Change

·        Section Exercise

Business Data Analytics – Organizational View

Part 3: The Business Data Analytics Cycle

·        What is the Business Data Analytics Cycle?

·        The scientific method paired to the BDA Cycle

·        Why this cycle is important?

·        Examples of Business Data Analytics Cycle

·        Module Exercise/Discussions/Exercise

Part 4: Team Structure and required Skills

·        Team structures that are best for BDA

·        Roles and skills that are best for BDA

·        Module Exercise/Discussions/Reviews

Part 5: Strategy for Business Data Analytics

·        Building a Business Data Analytics Team

·        Establishing Best Practices

·        Curating Data

·        Performing Data Management Functions

·        Developing a Data Strategy

·     Business Strategy Supporting Data Strategy

·     The Data Strategy

·      Components of a Data Strategy

·        Challenges for Business Data Analytics

·        Techniques

·        Module Exercise/Discussions/Reviews

Part 6: Course Simulated Practice Exam

Business analysts who have the International Institute for Business Analysis CCBA® or CBAP® certifications, Project Management Institute PMI-PBA ® certification, or have taken other fundamental business analysis training combined with over 3 years of experience. Familiarity of business analysis terminology and techniques, as described in the BABOK®, is required.

• Improve leadership skills by examining business data analytics leadership from many perspectives and the many factors that can affect how they lead business in digital-driven decision making. 
• Build up courage and confidence addressing the fear of uncertainty of data and information by knowing how to confront and handle change in a digital transformation initiative. 
• Think more strategically by knowing how to collaborate with tactical, operational, and strategic decision-makers and strengthen relationships with executive-level management, vendors, enterprise architects, and government entities. 
• Gain a better understanding of strategic roles that can be a career move into Business Data Analytics 
• Effectively evaluate business data analytics life cycle variables that represent the research aspects of business data analytics.
• Adapt to the ever-changing and challenging business environment so that decision-makers can make faster and more actionable decisions. 
• Improve their ability to see value from using different analytical approaches to solve problems and create solutions.  

• 75 Multiple Choice Questions to be completed in 2 hours.