In this challenge, the goal is to identify duplicate payments for the same invoice within a large dataset. You can choose from various approaches to solve this problem. We are excited to see what ideas you come up with.

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. 

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?