IFRS and Advanced Financial Modelling for Strategic Decision Making

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IFRS and Advanced Financial Modelling for Strategic Decision Making
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T3638

Istanbul (Turkey)

05 Apr 2026 -09 Apr 2026

5830

Overview

Introduction:

Advanced financial reporting and modelling operate within an integrated financial reporting and modelling framework that governs disclosure accuracy, valuation logic, and executive decision support across modern financial environments. This framework aligns IFRS standards with structured financial modelling architectures to ensure transparent reporting, consistent valuation structures, and forward looking analytical interpretation across organizations. This training program presents advanced frameworks, analytical models, valuation structures, and reporting governance principles linking IFRS application with strategic financial modelling and decision support. It provides an institutional perspective on how reporting accuracy, modelling precision, and analytical consistency strengthen financial control, efficiency, and executive level decision quality.

Program Objectives:

By the end of this program, participants will be able to:

  • Analyze advanced IFRS frameworks governing financial recognition, measurement, and disclosure.

  • Explore financial modelling structures supporting valuation and strategic decision making.

  • Classify revenue, cost, and asset treatment under IFRS within modelling environments.

  • Assess DCF and valuation model structures for investment and financial planning decisions.

  • Evaluate integrated reporting and modelling frameworks enhancing accuracy and efficiency in financial analysis.

Target Audience:

  • Finance managers and senior financial analysts.

  • Financial reporting and IFRS specialists.

  • Corporate finance and planning professionals.

  • Budgeting and financial modelling specialists.

  • Decision support and financial strategy professionals.

Program Outline:

Unit 1:

Advanced IFRS Frameworks and Financial Reporting Structures:

  • Advanced IFRS reporting framework and institutional financial disclosure architecture.

  • Strategic rationale for inclusion of IFRS 18 and IFRS 19 within modern reporting frameworks.

  • Recognition, measurement, and presentation structures under IFRS 18 and IFRS 19.

  • Structured application steps for integrating new IFRS standards within financial reporting systems.

  • Revenue recognition, lease accounting, and presentation implications within modelling environments.

  • Alignment between IFRS reporting accuracy, modelling consistency, and institutional transparency.

Unit 2:

Financial Modelling Architecture and Design Logic:

  • Core structures of integrated financial models in corporate environments.

  • Model design standards supporting consistency and auditability.

  • Data structuring and assumption governance frameworks.

  • Linking financial statements within unified modelling architecture.

  • Scenario structuring steps and sensitivity configuration models.

Unit 3:

Valuation and Discounted Cash Flow Modelling:

  • Discounted cash flow model architecture and logic.

  • Cost of capital structures and discount rate modelling.

  • Cash flow forecasting structures under IFRS assumptions.

  • Terminal value estimation frameworks and sensitivity structures.

  • Integration between valuation outputs and strategic planning decisions.

Unit 4:

IFRS Integration with Strategic Financial Analysis:

  • Alignment of IFRS reporting outputs with financial modelling inputs.

  • Financial performance indicators derived from IFRS based data.

  • Forecasting structures supporting executive decision scenarios.

  • Risk and uncertainty considerations within financial models.

  • Governance structures ensuring consistency between reporting and modelling.

Unit 5:

Advanced Financial Modelling for Decision Efficiency and Accuracy:

  • Model validation and accuracy assurance frameworks.

  • Oversight on analytical dashboards and reporting structures for executive decisions.

  • Efficiency structures supporting faster financial analysis cycles.

  • Integration of advanced analytics and AI supported modelling environments.

  • Institutional controls strengthening reliability of financial forecasts and reports.