Training on Business Intelligence & Analytics for Finance Professionals

In today's data-driven world, finance professionals need to leverage business intelligence (BI) and analytics to enhance decision-making, optimize financial performance, and drive strategic growth. This 5-day intensive course provides finance professionals with the knowledge and skills to utilize BI tools and analytical techniques effectively. Participants will learn to transform financial data into actionable insights, automate reporting processes, and gain a competitive edge through advanced data analysis.

Course Duration

5 Days

Who Should Attend

• Financial Analysts
• Chief Financial Officers (CFOs)
• Finance Managers
• Accountants
• Budget Analysts
• Risk Managers
• Business Analysts
• Financial Controllers
• Professionals involved in financial planning, analysis, and decision support

Organizational Impact

• Enhances financial performance and decision-making through data-driven analysis.

• Improves efficiency by automating reporting and providing real-time financial insights.

• Fosters a data-driven culture that uncovers trends, optimizes resources, and strengthens competitiveness.

Personal Impact

• Builds in-demand skills for senior finance roles such as CFO or financial controller.

• Enables contribution to profitability and strategic success through data-driven recommendations.

• Provides confidence to lead and champion finance-focused data initiatives.

By the end of this course, participants will be able to

• Frame financial insights in the context of business process improvement
• Exploit the tools of Business Intelligence and Analytics systems
• Develop financial and non-financial key performance measures
• Apply the tools and techniques of predictive analytics
• Design powerful graphics for data visualisation and infographics

Module 1: Understanding Business Models and Business Processes

• Creating Value for Key Organisational Stakeholders
• The Role of the 21st Century Finance Professional
• Business Models and Business Processes
• Business Process Improvement and Re-engineering
• Introduction to Business Intelligence and Business Analytics
• Introduction to Data Driven Decision Management (DDDM)
• Key Financial Measures and Shareholder Value Drivers
• Key Success Factors and Key Performance Measures

Module 2: Purpose and Principles of Business Intelligence and Business Analytics

• Implementing a Business Performance Management Framework
• The Definition and Purpose of Business Intelligence (BI)
• History and Development
• Features Tools and Terminology of BI Systems
• The Definition and Aims of Business Analytics (BA)
• Understanding Descriptive and Predictive Analytics
• Sources and Types of BI and BA Tools

Module 3: Principles of Statistical and Predictive Analytics

• Defining Statistical, Descriptive and Predictive Analytics
• Business Database Features and Design
• Principles of Distribution and Probability Theory
• Time Series Data Analysis
• Trend Analysis and Forecasting using Moving Averages
• Trend Analysis and Forecasting using Linear Regression
• Analysis and Forecasting with Monte Carlo Simulation in Excel
• Predictive Analytics using ‘what-if’ Forecasts

Module 4: Data Visualisation and Infographics for Finance Professionals

• Defining Data, Information and Insight
• Comparing Data Visualisation and Infographics
• Using Charts and Graphics for Data Visualisation
• Designing Visuals and Infographics for Non-financial Users
• Using Excel and Powerpoint for Data Visualisation
• Designing and Using Scorecards and Dashboards
• Practical Tips for Building Dashboards and Mashboards in Excel

Module 5: BI / BA – Implementing Systems and Managing Change

• An Agile Approach to Systems Development
• Practical Steps in Agile BI / BA Systems Design and Implementation
• The Importance of Urgency
• Effective Steps to Achieving Change
• Overcoming Resistance to Change