EdX

Robotic process and intelligent automation for finance (edX)

Offered by ACCA,

In this course we explain how automation can play a key role in delivering the requirement to have robust processes and clean data. By using automation tools and machine learning, finance leaders can identify, implement and configure the right solutions for their organisation. It also shows how tools, such as Python, can be applied to finance processes and the benefits this will bring.

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This course is designed for accountancy, finance and business professionals working in all organisations from small business, large corporates or financial services or who are just interested in learning more about these new and exciting technologies and how they can transform organisational processes and customer experiences of services and products. With a focus on practical skills throughout, this course provides the ability to apply skills as well as understand them.
This course is part of the FinTech for Finance and Business Leaders Professional Certificate.

What you'll learn

Understand how automation can assist in the efficiency of the finance function
Identify how the use of automation can support the organisational strategy
Correctly identify the opportunities for automation in their function
Be able to develop a business case for investment in automation
Appreciate the range of tools that can be used and how to select the right one for your business case
How to plan the implementation of an automation solution to realise benefits and maximise efficiencies

Syllabus

1. What is Intelligent Automation

The concept
Why finance functions need to transform
The nature of the opportunity
Target operating model for finance
Role of the finance function in decision making
Data governance – one version of the truth

IA and process improvement

Relation between IA and process optimisation
How clean do your processes need to be?

The tools in overview

Robotic Process Automation
Machine Learning and Artificial Intelligence
Python

How it is delivered ?

Overview of software
End-user vs. formal IT project
Agile project approaches

2. Process optimisation
Approach
Role of automation
Workflow management
Design thinking
Implication on headcount

3. Choosing the solution
Approach
Business issues facing finance
Correctly identify the problem / opportunity
Opportunity

What type of processes are you looking to automate?
Repetitive processes vs. judgement

Evaluating candidates

Is RPA the right solution?
Repetition and frequency
Data manipulation

Types of RPA solution

Do-it yourself – user level using publicly available / free tools, such as Python
Off-the-shelf – package software
Customised – vendor developed bespoke solutions
Selecting the appropriate solution

4. Do-it-yourself
Python based solutions

What is Python?
Application of Python to finance problems?
Machine Learning in context of finance

Go to Class

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