Business Intelligence and Analytics for Finance Professionals

The programme

Programme overview

In an intensely competitive landscape, finance professionals must evolve beyond traditional reporting roles to leverage cutting-edge Business Intelligence (BI) and Business Analytics (BA) systems. This course aims to equip participants with the tools and techniques that power modern finance functions, enabling them to generate real-time financial insights and support C-Suite decision-making with data-driven intelligence.

• Integration of AI-driven financial analytics for automated performance tracking
• Leveraging machine learning for financial forecasting and anomaly detection
• The critical role of the 21st-century finance function
• Comprehensive utilisation of BI and BA tools by finance professionals
• Enhancement of business processes and performance through BI and BA
• Foundational and advanced techniques in statistical analysis and forecasting
• Mastery of data visualisation and infographic creation
• Application of agile methodologies in BI and BA system development

Who should attend

Who is this programme for?

• Finance Professionals Throughout an Organisation
• Central Planning Managers
• Budgeting and Forecasting Teams
• Commercial Managers
• Strategic Business Partners in Finance
• Financial Controllers & CFOs Seeking AI-Enhanced Insights
• BI Analysts Supporting Financial Functions

Learning outcomes

What you will learn

• Integrate AI and automation tools for real-time financial monitoring
• Utilise self-service BI tools (e.g., Power BI, Apache Superset) for reporting
• Contextualise financial insights for business process enhancement
• Master the use of Business Intelligence and Analytics systems
• Craft key financial and non-financial performance indicators
• Harness predictive analytics tools and techniques
• Create compelling data visualisations and interactive dashboards

Explore the programme

Detailed programme outline

5-Day Comprehensive — Training Outline

• Value creation for organisational stakeholders
• Evolving roles of finance professionals in the 21st century
• Insights into business models and processes
• Techniques for business process improvement and re-engineering
• Introduction to Business Intelligence and Analytics
• Foundations of Data-Driven Decision Management (DDDM)
• Financial metrics and shareholder value considerations
• Establishing key success factors and performance metrics
• The role of real-time financial data in decision-making
• Case studies of BI-driven financial transformations
• Self-service BI tools (Power BI, Tableau) for finance professionals, including Power BI's integrated Copilot for natural-language querying and formula assistance
• Integration of AI-powered financial monitoring tools
• Leveraging real-time dashboards for financial KPIs
• Frameworks for managing business performance
• Clarifying the objectives and scope of BI
• The evolution of BI systems
• Exploring the features, tools, and terminology of BI systems
• Defining and detailing the goals of Business Analytics (BA)
• Comprehending descriptive and predictive analytics
• Exploring the diverse sources and types of BI and BA tools
• Delineating statistical, descriptive, and predictive analytics
• Characteristics and design of business databases
• Fundamental concepts of distribution and probability theory
• Techniques for analysing time-series data
• Forecasting trends with moving averages and linear regression
• Monte Carlo simulations for predictive modelling in Excel
• Crafting 'what-if' scenarios for predictive analytics
• AI-driven predictive analytics for financial performance tracking
• Risk modelling and fraud detection with machine learning
• Defining the continuum from data to insight
• Distinguishing between data visualisation and infographics
• Employing charts and graphics for effective data representation
• Creating visuals and infographics tailored to non-financial stakeholders
• Utilising Excel and PowerPoint for dynamic data presentations
• The art of designing and using scorecards and dashboards
• Building interactive dashboards using Power BI and Apache Superset
• Customising dashboards for financial health monitoring
• Creating automated reporting systems with AI integrations
• Best practices for constructing dashboards and mashups in Excel
• Embracing an agile methodology for BI/BA system development
• Actionable steps for designing and implementing agile BI/BA systems
• Emphasising the criticality of urgency in system deployment
• Proven tactics for facilitating organisational change
• Strategies for mitigating resistance to new system implementations
• Leveraging AI for continuous financial performance monitoring
• Deploying cloud-based BI solutions for real-time analytics
• Developing automated alerts for financial anomalies and risks

Learning approach

How you will learn

Our diverse instructional approaches ensure effective learning:

– Lectures & Presentations: Engage with expert-driven, stimulating content.– Course Material: Access well-crafted supporting resources.– Group Work: Collaborate on discussions and case studies for practical insights.– Workshops & Role-Play: Participate in immersive, scenario-based activities.– Practical Application: Focus on applying theoretical knowledge in real situations.– Post-Training Support: Receive extensive support after training for skill implementation.

Discuss your requirements

Dates, duration & arrangements

Contact Ratomac to confirm dates, duration, delivery format, entry requirements and any applicable assessment or certification before booking.