Course overview
Business data analytics is increasingly becoming an area of great attention for organizations and professionals. Organizations recognizes it as a means by which they can obtain valuable insights from reporting; analysis and supporting more informed business decision-making. As a result, more organizations are investing in business data analytics as a means to deliver on their strategic imperatives, innovate, and obtain competitive advantages in their marketplace. Such investments are driving the demand for more skilled professionals with business data analytics knowledge and experience. This course will introduce you to Business Data Analytics, business analysis concepts, activities, tools, techniques, and the skills needed to pass the "Certification in Business Data Analytics" exam.
Target audience
Experienced business analysts or project managers looking to gain an understanding of industry best practices on business analysis, Product Managers, Consultants, Trainers, Business Analysis professionals, Project Manager, Testers, Quality Assurance (QA) professionals, Change Transformation Managers, and Designers
Course objectives
- Identify Research Questions
- Source Data
- Analyze Data
- Interpret and Report Results
- Use Results to Influence Business Decision Making
- Guide Company-level Strategy for Business Analytics
- Develop Strategy for Business Data Analytics
Target competencies
Course methodology
This course demonstrates core principles in Business Analysis. You will build proficiency in the six knowledge areas defined in BABOK® Guide Version 3 and utilizes BABOK V3 in performing modern and creative techniques of Business Analysis. Real-life case studies, individual workshops, and team presentations by participants.
Course outline
WHAT IS BUSINESS DATA ANALYTICS?
- Business Data Analytics as a Movement
- Business Data Analytics as a Capability
- Business Data Analytics 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 Analysis and Business Data Analytics
BUSINESS DATA ANALYTICS METHODS
- Descriptive
- Diagnostic
- Predictive
- Prescriptive
DATA CHARACTERISTICS
- Accuracy
- Completeness
- Consistency
- Uniqueness
- Timeliness
THE BUSINESS DATA ANALYTICS CYCLE
DATA ANALYTICS TECHNIQUES
- Balanced Scorecard
- Benchmarking and Market Analysis
- Business Model Canvas
- 5 Forces analysis
- Metrics and Key Performance Indicators (KPIs)
- SWOT
- Value chain analysis
BUSINESS DATA ANALYTICS DOMAINS AND TASKS
Identify the Research Questions
- Define Business Problem or Opportunity
- Assess Current State
- Define Future State
- Formulate Research Question
- Plan Business Data Analytics Approach
Source Data
- Plan Data Collection
- Determine the Data Sets
- Collect Data
- Validate Data
Analyze Data
- Develop Analysis Plan
- Prepare Data
- Explore Data
- Perform Data Analysis
- Assess the Analytics and System Approach Taken
Interpret and Report Results
- Identify and Understand the Stakeholders
- Plan Stakeholder Communication
- Determine Communication Needs of Stakeholders
- Derive Insights from Data
- Document and Communicate Findings from Completed Analysis
Use Results to Influence Business Decision-Making
- Recommend Action
- Develop Implementation Plan
- Manage Change
TEAM STRUCTURE AND REQUIRED SKILLS
- Subject Matter Experts (SMEs)
- Data architect
- Data engineer
- Data scientist
- Data analyst
- Data journalist
- Business analyst
STRATEGY FOR BUSINESS DATA ANALYTICS
- Building a Business Data Analytics Team
- Establishing Best Practices
- Curating Data
- Performing Data Management Functions
- Developing a Data Strategy
- Challenges for Business Data Analytics
Want to run this for your team?
Request a tailored quote - we'll come back with delivery options, language preferences, group-size pricing, and dates that work for you.
Request a quote