Main content start

What's Happening Events

27
Nov 2024
(Wed)

How can we automate Invoice Matching Process and design a Customer Debt Aging Dashboard System? (27 Nov 2024)

Subject
FinTech and Financial Analytics

Date & time
27Nov 2024 (Wed)13:00 - 13:45
Fee
Free
Speaker
  • Mr Danny W. C. Chan (Practitioner in Financial Risk Management, IT and Data Science)

Mr Danny W. C. Chan

Mr. Chan, FRM, has possessed rich experience in financial risk management, information technology and data science and worked as IT Manager over a decade. Being a practitioner in information technology, he is currently a consultant and trainer at Big Data Consultancy Services Company. Also, he is strong in Cloud-based solutions, Big Data Technology, Data Mining and Machine Learning. Moreover, Mr. Chan has obtained a Bachelor Degree in Mathematics from The Chinese University of Hong Kong as well as three Master Degrees in Risk Management Science from The Chinese University of Hong Kong, Quantitative Analysis for Business from City University of Hong Kong and Industrial Logistics Systems from The Hong Kong Polytechnic University.

Enquiry
2867 8331 / 2867 8424 (finedec@hkuspace.hku.hk)
Relevant Programmes
Postgraduate Diploma in FinTech and Legal Regulations Postgraduate Diploma in Financial Analytics and Algo Trading Postgraduate Diploma in Finance and Data Analytics Certificate for Module (Technical Analysis and Data Analytics for Stock Investment) Certificate for Module (Business Intelligence and Data Automation) Certificate for Module (Business Analytics and Web Scraping) Executive Certificate in Interpretation and Visualization of Business Big Data Big Data and FinTech Executive Workshop Series - Big Data and Data Visualization Big Data and FinTech Executive Workshop Series - Applied AI and Business Analytics
moreRelevant Programmes
How can we automate Invoice Matching Process and design a Customer Debt Aging Dashboard System? (27 Nov 2024)

Having received customer invoice payments, AR team members would need to match up the received payments with the corresponding customer orders (or invoices), which would be partially matched, fully matched or even overpaid.

Collectively, the team members would need to prepare a customer aging analysis report for management based on the outstanding or overdue invoice amounts for debt analytics.

The pain point is that all these are done manually with Excel spreadsheets and it would take much time to reconcile all of worksheets.

A perfect solution is to get all these routine tasks automated with Excel automation (no-coding approach) with a dashboard system.

 

If you are interested in knowing a bit about the design, please don’t hesitate to register for the coming lunch talk with the following link.

Mr Danny Chan, the speaker, lecturer and data consultant, will present to you the solution with a live demo.

Language: Cantonese (Supplemented with English)

P1

P2