Description
Objectives
The course "Data Analytics in Banking - Fundamentals" focuses on the application of data analytics techniques to the banking and financial services industry. In this course, participants will learn how to use various data analytics tools and techniques to analyse large datasets, extract insights, and inform business decisions in the banking sector.
Programme
Key items that will be addressed in this programme (the below schedule is an indication and can be modified):
Risk management: Data analytics can be used to identify and assess risks in the banking industry, including credit risk, market risk, and operational risk. Data analytics can help banks to better understand the sources of risk, assess the likelihood and impact of different risks, and develop strategies to mitigate or manage these risks.
Customer acquisition and retention: Data analytics can be used to identify and target potential customers, understand their needs and preferences, and design personalised marketing campaigns to attract and retain customers. Data analytics can also be used to understand customer behaviour and identify opportunities for cross-selling and upselling.
Fraud detection: Data analytics can be used to detect and prevent fraudulent activities in the banking industry, such as credit card fraud, money laundering, and cyber attacks. Data analytics can help banks to identify suspicious patterns of behaviour and take appropriate action to prevent or mitigate losses.
Operational efficiency: Data analytics can be used to identify inefficiencies and bottlenecks in banking processes and operations, and to develop strategies to optimise these processes. For example, data analytics can be used to identify opportunities to streamline processes, reduce errors, and improve customer service.
Product development: Data analytics can be used to understand customer needs and preferences and to inform the development of new banking products and services. Data analytics can help banks to identify customer segments with unmet needs, assess the potential demand for new products and services, and design products that meet these needs.
Target audience
All functions within banks that have large amounts of data.
Applicable to all companies from finance sector.
Anyone interested in the subject.
Modalities
Course Material
Please note that for environmental reasons no paper version of the training material will be provided for your training. The course material can be downloaded free of charge via your portal before the start of the course (download the Client Portal User’s Guide here ). You will be able to view it on the screen of your mobile device or print it if necessary. If your registration has been made by a training manager of your company please contact him/her so that he/she can give you access to it or send it to you.
Exam
No exam is available for this course.
Contact
For further questions please contact our partner in your country