7 Topics
5 Days
Programme Overview
Training Description
Who Should Attend
• Financial Analysts and Managers
• FP&A (Financial Planning & Analysis) Professionals
• Budgeting and Forecasting Specialists
• Business Intelligence Analysts
• Strategic Planners
• Senior Accountants
• Operations and Department Managers
• Business Consultants
• Data Analysts in Finance
• Corporate Planners
Session Objectives
- Understand the fundamentals of RPA and its specific applications in finance.
- Learn to identify manual, repetitive tasks suitable for automation.
- Design and document an RPA solution for a budgeting process.
- Build and configure a basic RPA bot to perform a financial task.
- Evaluate the ROI and business impact of RPA implementation.
About the Course
In the world of finance, budget management is a critical yet often time-consuming process, bogged down by repetitive and manual tasks. Robotic Process Automation (RPA) offers a revolutionary solution, enabling finance teams to automate these tedious activities, such as data entry, report generation, and variance analysis. By deploying software robots to handle these tasks, professionals can free up valuable time to focus on strategic analysis, forecasting, and informed decision-making. This shift not only increases efficiency and accuracy but also allows finance departments to become more agile and responsive to business needs.
This comprehensive 5-day training course is specifically designed for finance and accounting professionals looking to harness the power of RPA in their budgeting workflows. You will gain a deep understanding of how to identify automation opportunities, design and implement RPA solutions, and measure their impact on efficiency and accuracy. The program provides a practical, hands-on approach to building a business case for RPA, selecting the right tools, and overseeing the successful integration of automation into your organization's financial planning and analysis (FP&A) processes.
Curriculum & Topics
7 Topics | 5 Days
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Subtopic 1.1:
What is RPA and how does it work?
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Subtopic 1.2:
The benefits of RPA: efficiency, accuracy, and compliance.
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Subtopic 1.3:
Common RPA use cases in budgeting, forecasting, and reporting.
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Subtopic 1.4:
Key concepts: bots, workflows, and process mapping.
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Subtopic 1.5:
The RPA journey: from pilot to full-scale deployment.
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Subtopic 2.1:
Analyzing current budgeting processes for repetitive tasks.
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Subtopic 2.2:
Using a structured framework to evaluate potential RPA candidates.
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Subtopic 2.3:
Creating a business case for RPA in finance.
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Subtopic 2.4:
Estimating the time and cost savings of automation.
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Subtopic 2.5:
Prioritizing automation projects based on business value.
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Subtopic 3.1:
Detailed process mapping and documentation for automation.
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Subtopic 3.2:
Designing a bot's workflow and logic.
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Subtopic 3.3:
Integrating different systems and applications.
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Subtopic 3.4:
Handling exceptions and error management.
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Subtopic 3.5:
Best practices for building robust and scalable solutions.
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Subtopic 4.1:
Introduction to a leading RPA platform (e.g., UiPath, Automation Anywhere).
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Subtopic 4.2:
Hands-on lab: building a simple bot for data extraction.
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Subtopic 4.3:
Configuring a bot to perform data entry and reconciliation.
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Subtopic 4.4:
Creating an automated report generation workflow.
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Subtopic 4.5:
Testing and debugging your automation solution.
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Subtopic 5.1:
The role of an RPA project manager.
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Subtopic 5.2:
Managing stakeholders and change management.
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Subtopic 5.3:
Deploying bots and scheduling automated tasks.
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Subtopic 5.4:
Monitoring bot performance and measuring success.
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Subtopic 5.5:
Developing a governance framework for RPA.
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Subtopic 6.1:
Using OCR (Optical Character Recognition) for invoice processing.
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Subtopic 6.2:
Introduction to AI and machine learning integration with RPA.
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Subtopic 6.3:
Security considerations in RPA implementation.
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Subtopic 6.4:
Creating reusable components and libraries.
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Subtopic 6.5:
Scaling RPA across different financial functions.
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Subtopic 7.1:
The impact of intelligent automation on the finance role.
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Subtopic 7.2:
The finance professional of the future.
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Subtopic 7.3:
Integrating RPA with analytics and planning tools.
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Subtopic 7.4:
Case studies of large-scale RPA implementations in finance.
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Subtopic 7.5:
Developing a long-term automation strategy for your organization.
