DATATHON Fall 2023
02 & 03 November 2023
|
80 + Participants |
3 Challenges |
1000 € Award money |
The STADS Datathon starts again!
Participants can expect two days of intensive teamwork on Data Science, Datavisualization or Programming Challenges and lots of fun.
These benefits are included:
🚀 1.000€ for the winning team
🚀 exciting non-cash prizes
🚀 Food + Drinks included
🚀 Get-together with many companies
The Challenges
RSM Ebner Stolz
The year-end puzzle: Identify the entries that are decisive for the account balance with RSM Ebner Stolz.
One of the main tasks of auditors, for example, is to assess the valuation of a balance sheet item at the end of the fiscal year. The amount of the balance sheet items to be valued depends on the business transactions on the underlying accounts of the company. They are recorded in the form of entries. Over the course of the fiscal year, for example, assets such as receivables are recorded in an account and derecognized when they are settled. In many cases, there is a so-called sub-ledger that can provide information about the composition of an account, but this does not apply to all accounts. In the midst of the greatest stress, the audit manager needs this information for an account, but the accounting department is already completely overwhelmed with other issues. Can you use your analytical skills and algorithmic thinking to crack this numerical puzzle?
STADS
McCar, a fictitious used car dealer from Mannheim, always offers is customers the best prices for their new dream car.
Due to constant growth in recent years, McCar unfortunately no longer keeps up with the pricing. Everyday, the optimal sales prices has to be found for dozens of vehicles.
McCar has a data set with the characteristics and sales prices of the last year at its disposal – can you support them and develop a model that predicts the optimal sales price for every vehicle in the future?
msg systems
The Challenge is about predicting Price shocks.
A price shock is a sudden surge in material prices, which can lead to rising production costs and even to an uneconomical production. In order to be able to predict these shocks, a model was trained using key factors that have caused sudden increases in prices in the past. The model can predict future prices and identify possible shocks based on currently occurring key factors. To provide these current factors to the model as features, they must be extracted from current news articles.
RSM Ebner Stolz
The year-end puzzle: Identify the entries that are decisive for the account balance with RSM Ebner Stolz.
One of the main tasks of auditors, for example, is to assess the valuation of a balance sheet item at the end of the fiscal year. The amount of the balance sheet items to be valued depends on the business transactions on the underlying accounts of the company. They are recorded in the form of entries. Over the course of the fiscal year, for example, assets such as receivables are recorded in an account and derecognized when they are settled. In many cases, there is a so-called sub-ledger that can provide information about the composition of an account, but this does not apply to all accounts. In the midst of the greatest stress, the audit manager needs this information for an account, but the accounting department is already completely overwhelmed with other issues. Can you use your analytical skills and algorithmic thinking to crack this numerical puzzle?
msg systems
The Challenge is about predicting Price shocks.
A price shock is a sudden surge in material prices, which can lead to rising production costs and even to an uneconomical production. In order to be able to predict these shocks, a model was trained using key factors that have caused sudden increases in prices in the past. The model can predict future prices and identify possible shocks based on currently occurring key factors. To provide these current factors to the model as features, they must be extracted from current news articles.
STADS
McCar, a fictitious used car dealer from Mannheim, always offers is customers the best prices for their new dream car.
Due to constant growth in recent years, McCar unfortunately no longer keeps up with the pricing. Everyday, the optimal sales prices has to be found for dozens of vehicles.
McCar has a data set with the characteristics and sales prices of the last year at its disposal – can you support them and develop a model that predicts the optimal sales price for every vehicle in the future?
The Timeline
The Registration starts in
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Datathon Fall 2023 is over, but you can already put your name on the waiting list for the next Datathon.
Simply fill out the following form.
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