FINANCIAL & DATA ANALYTICS IN PROJECT MANAGEMENT

Course Overview 

Effective project management requires more than delivering projects on time and within scope—it also demands strong financial planning, cost control, and data-driven decision-making. This Financial and Data Analytics in Project Management program is designed to equip project managers, engineers, supervisors, and business professionals with the knowledge and practical skills to manage project finances, analyze project data, and make informed decisions that improve project performance. By combining project financial management with data analytics, participants will gain valuable insights into project costs, budgets, forecasts, and key performance indicators (KPIs) throughout the project lifecycle.

Throughout this Project Financial Management and Data Analytics Training, participants will explore essential topics including project budgeting, cost estimation, project cost management, financial forecasting, revenue planning, cash flow analysis, and project financial reporting. The program also introduces practical data analytics techniques that enable participants to interpret project data, monitor project performance, identify financial risks, and support evidence-based decision-making. Participants will learn how to use financial information and project analytics to improve cost control, minimize budget overruns, optimize resource allocation, and enhance overall project success.

Through practical case studies, interactive exercises, and real-world project scenarios, participants will develop the confidence to apply financial analysis, project data analytics, and performance measurement tools in their own projects. By the end of the program, participants will be better equipped to manage project finances effectively, monitor key financial indicators, support strategic project decisions, and deliver projects that achieve both operational and financial objectives.

Course Objectives

On completion of the programme, participants will be able to:-

1. Understand industry structured project management principles like project charter, milestones, documentation of lessons learned.
2. Know how to analyse data based on analytics key financial indicators provided by finance team in view to contribute towards improving organisation’s performance.
3. Equip oneself with knowledge in order to effectively manage costs in project and also propose cost saving or mitigations strategies.
4. Understand the proper finance cost calculation in tender submission processes

Who Should Attend

Professionals, Senior Managers, Managers, Assistant Managers, Senior & Junior Executives who wish to understand, interpret project financials report, perform and review costing for project proposals to ensure achievement of target project Return on Investments (ROI) and other key performance indicators (KPI) analytics

Where appropriate, activities will include the following:

• Lecture & Videos
• Facilitated Group Discussions/Interactions & Gamifed Spot Quiz
• Practical exercises and case studies

Note: Laptop is needed for above learning activities using excel and business Intelligence (BI) tool access

Duration

2 Days (9.00 A.M. – 5.00 P.M.)

Course Content

The key content of the program includes the following:

Module 1: Project Management Fundamentals

• Project Finance vs Corporate Finance
• Key Stakeholders in Project Finance
• Project Management Practices: PMP Framework (PMI), Agile/Scrum Framework and relation of project finance
• Project Governance
• Project Compliance
• Project benefits and business value
• Phases in project management: initiation, planning, execution, monitoring, closure which impacts costs and revenue accounting.
• Legal and Regulatory Framework Governing Contractual Arrangements in Project Finance
• Dispute Resolution in Project Finance

Module 2: Project financials

• Understanding key financial terms for projects -OPEX, CAPEX
• Understanding and generating simple Cost Benefits Analysis (CBA) for project business case
• Project Finance Appraisal Techniques and Applications: Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period for selection of projects

Module 3: Project costing and cost management

• Best practices for revenue Projections, cost Estimations ensuring Project target margin is achieved.
• Detailed Costing and estimation for work packages from top level WBS
• Economic Value Added (EVA) calculation for projects
• Costing methods and structure for decision making
• Identify project cost drivers for cost reduction.
• Different types of cost – fixed, variable costs for calculation of contribution margin.
• Debt and Equity Financing Options
• Sources of Funding for Project Finance
• Case study: Excel hands on exercises for financial modelling and predictive modeling

Module 4: Modelling project risks

• Financial modelling based on what if scenarios based on project risks.
• Risk Allocation Mechanisms Among Project Stakeholders – Contractual Arrangements and Risk Sharing
• Risk Mitigation Strategies
  • Use of Insurance
  • Use of Derivatives for Hedging Project Risk

Module 5: Project Monitoring Techniques

• Importance of data analytics and its purpose in projects
• KPIs in projects and earned value management KPIs
• Understand essentials project profitability reports

1. 1. Project financials variance analysis & how variances are calculated.
   2. Expense analysis using Work Breakdown Structure (WBS)

• Sample case study financial interpretation & group presentation exercise.

Module 6: Dashboarding

• Data visualization reporting do’s and don’ts
• Case study –
  • Dashboarding data and related analytics
    • Part 1, 2 & 3

• Group presentation

Keywords: Financial and Data Analytics in Project Management, Project Financial Management, Data Analytics for Project Management, Project Financial Analysis, Project Data Analytics