Business Intelligence & Analytics for Finance Leaders (FA57)
Duration: 5 days
In today’s data-driven world, finance professionals must go beyond traditional reporting and embrace the power of business intelligence (BI) and analytics to make strategic, high-impact decisions. This course equips senior finance leaders and investment professionals with the tools, frameworks, and insights to transform financial and operational data into business value. It focuses on building analytical capability, implementing BI systems, and fostering a data-led culture that enables better forecasting, performance evaluation, and long-term planning. Practical case studies and technology demonstrations are used throughout to bridge theory and practice. By the end of the programme, delegates will be equipped to lead data-driven transformation within their organisations and harness analytics to unlock strategic advantage.
This course is designed for senior finance leaders, investment analysts, CFOs, financial controllers, and strategic planners who lead financial decision-making and performance oversight. It is ideal for professionals working in investment firms, corporate finance, private equity, government finance bodies, and strategic financial planning teams. Delegates should be responsible for or influencing strategic data initiatives and interested in leveraging analytics for competitive and operational advantage.
Principles of Business Intelligence and Data Strategy
- Understanding the BI landscape and modern data ecosystems
- Identifying strategic data needs in finance
- Aligning BI initiatives with organisational goals
- Mapping data value chains across financial operations
- Assessing data readiness and maturity in your organisation
Data Architecture, Systems and Integration
- Building scalable and secure financial data architectures
- Integrating internal systems with external data sources
- Understanding data warehousing vs. data lakes
- Enabling real-time analytics and dashboards
- Exploring finance-focused BI platforms (Power BI, Tableau, Qlik)
Financial Data Analytics and Visualisation
- Applying descriptive, diagnostic, and predictive analytics in finance
- Using analytics for performance measurement and forecasting
- Building compelling dashboards and KPI visualisations
- Storytelling with data to influence stakeholders
- Avoiding common pitfalls in financial data interpretation
Advanced Analytics, AI and Machine Learning in Finance
- Exploring predictive modelling and scenario planning
- Applying AI and machine learning to financial use cases
- Automating reporting and decision workflows
- Managing ethical and governance risks in financial AI
- Assessing ROI of advanced analytics initiatives
Leading Data-Driven Finance Teams and Strategy
- Building a data-driven culture in finance
- Setting up governance, roles, and ownership in BI functions
- Driving cross-functional collaboration through data
- Leading analytics projects and managing change
- Embedding continuous improvement through insights
At the end of the course, delegates will be able to:
- Align BI initiatives with strategic finance objectives
- Evaluate and implement fit-for-purpose BI tools and platforms
- Interpret and communicate data insights for stakeholder impact
- Apply advanced analytics to forecasting and investment decision-making
- Visualise financial performance using interactive dashboards
- Understand and manage the ethical implications of AI in finance
- Lead cross-functional BI and analytics initiatives effectively
- Build a sustainable, data-driven finance culture in their organisation