Since there is no data set provided, is it at least possible to get an idea about the type of data? For instance, can it be assumed that there are transactions available per customer with labeled transactions types (such as groceries, salary, electricity bill, ...), amount transferred and some demographic information about clients?
Typical transaction data, will not be labelled by category, amount, supplier, date. Yes there will be demographic information about the client, plus any other interactions that have with the bank.
During the live stream and on the youtube recording, you mentioned at time stamp 17:14/24:45 there would be some public data sets that will be put up on the web site for us to access. I am currently still working on the conceptual solution but I feel like a proof of concept demo would impress Heritage along side the conceptual solution.
Since there is no data set provided, is it at least possible to get an idea about the type of data? For instance, can it be assumed that there are transactions available per customer with labeled transactions types (such as groceries, salary, electricity bill, ...), amount transferred and some demographic information about clients?
Typical transaction data, will not be labelled by category, amount, supplier, date. Yes there will be demographic information about the client, plus any other interactions that have with the bank.
Regarding the customer rewards, does HB like to use their existing reward system or a new reward system?
Are there any Information about the customer demographics i.e what percentage of customers are in Agribusiness?
Hi Thuy,
During the live stream and on the youtube recording, you mentioned at time stamp 17:14/24:45 there would be some public data sets that will be put up on the web site for us to access. I am currently still working on the conceptual solution but I feel like a proof of concept demo would impress Heritage along side the conceptual solution.
Hi here are some samples. I would suggest doing some authentic data to demonstrate.
https://data.world/lpetrocelli/czech-financial-dataset-real-anonymized-transactions
https://www.kaggle.com/mamtadhaker/lt-vehicle-loan-default-prediction
https://data.gov.au/data/dataset/fires-in-australia-s-forests-2011-16-2018
We are looking at getting more. But have had some issues locating decent ones.