Data Analytics in Road
Fund Management

Transforming Road Fund Decision Making
through Data Insights and Analytics

23 - 27 June 2025
Sandton Centre Johannesburg South Africa

3

Register Now! Limited Seats Available!

Overview

In an era where financial resources are critical for infrastructure development, efficient management of road funds has become a top priority for governments, development organizations, and financial institutions worldwide. The ability to allocate, monitor, and assess the utilization of these funds hinges on accurate data, advanced analytics, and strategic decision-making.

The “Data Analytics in Road Fund Management” course is designed to bridge the gap between financial management and data-driven insights by equipping participants with practical skills and knowledge to analyze, forecast, and monitor road fund performance. This comprehensive program combines foundational principles of road fund management with cutting-edge data analytics techniques to ensure that participants can effectively track compliance, assess risks, identify revenue trends, and forecast fund performance.

Participants will gain hands-on experience with tools and techniques to visualize data, streamline reporting, and improve strategic planning. The course emphasizes real-world applications of data analysis in road fund systems, offering participants the tools to make informed, efficient, and impactful decisions.

Course Objectives

  • Understand Road Fund Management Fundamentals: Learn the core principles, structure, and financial flow mechanisms of road funds and their role in infrastructure development.
  • Apply Data Analytics to Forecasting: Use predictive models to forecast revenue trends and expenditure patterns for improved road fund allocation.
  • Enhance Decision-Making with Data Visualization: Master visualization tools to translate complex data into actionable insights for strategic planning.
  • Monitor Compliance & Risk Effectively: Identify risks, assess compliance, and detect irregularities in road fund management using data analysis techniques.
  • Adopt Advanced Tools & Techniques: Learn advanced data analysis methods, including machine learning tools, to enhance fund performance insights.
  • Strengthen Financial Reporting: Develop robust and transparent financial reporting capabilities through data-driven strategies.
  • Evaluate Performance Using Metrics: Track key performance indicators (KPIs) to ensure efficient fund utilization and successful project execution.
  • Build Capacity in Analytics Skills: Equip participants with hands-on knowledge of analytics tools, trends, and software applications for road fund monitoring.

Who Should Attend

  • Road Fund Managers & Financial Planners
  • Government & Infrastructure Officials
  • Auditors & Compliance Officers
  • Data Analysts & Decision-Makers
  • Project Managers in Road Development
  • Quality Assurance & Risk Assessment Professionals

End of the workshop

IN HOUSE AND ONLINE TRAINING

While both In-House and Online training can present with cost-effectiveness and time-efficacy, there are some very specific differences between in-house courses and those based online.
The demand for additional courses by individuals or groups of people is increasing. Still, it depends entirely on the preferences of a person what type of training he or she wants to receive. Online courses and in-house training carry some similarities but they are considered to exhibit some very pivotal differences too. Despite that, both types of learning can be really beneficial for attendees.

For Registration and other Training arrangements,
contact us on the detail below.

SOUTH AFRICA : +27 11 057 6001
TANZANIA Cell: +255 769 688 544
WhatsApp +27 79 574 0389
info@bmktraining.co.za / www.bmktraining.com