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Web Intelligence – Multinational Enterprise Group Data Discovery Challenge aimed to develop approaches that automatically identify sources of annual financial data on the World Wide Web for MNE Groups.
The European Statistics Awards Programme Web Intelligence competitions aim at stimulating innovation when retrieving data from the world wide web for producing European statistics. The goal of the Multinational Enterprise Group Data Discovery Challenge was to develop approaches that automatically identify sources of annual financial data on the World Wide Web for MNE Groups.
A multinational enterprise group, abbreviated as MNE Group and sometimes also called multinational corporation, or simply multinational or international corporation, is an enterprise producing goods or delivering services in more than one country. MNE Groups publish their financial data and annual financial results (financial statements) on documents, referred to hereby as "financial" reports.
The competition dataset contained 200 MNE groups. Participants were required to develop a method which automatically identifies sources of annual financial data and provide up to 6 of these sources for each MNE Group along with the reference year. One of the key elements of the competition was to develop robust approaches for generic use on identically structured arbitrarily chosen datasets.
The MNE Groups Data Discovery Challenge was launched in March 2025, with a final deadline for submissions in May 2025 and documentation in June 2025.
A total of 58 teams, comprised of 71 individuals from 21 countries, signed up for this challenge, with 16 teams following through by submitting solutions for evaluation. The results of the evaluation are announced below.
The participants were competing for three types of awards:
- Accuracy – aimed at reflecting the team’s performance in the discovery and identification of annual financial data.
- Reusability – aimed at rewarding submissions which show great potential to be scaled up to European statistics production. The Reusability award is intended to support the most thoroughly described and documented solutions, with the most scalable, well described and open approach.
- Innovativeness – aimed at rewarding submissions which show the most originality in their approach. The Innovativeness award is intended to encourage cutting-edge solutions that go beyond current best methods.
Accuracy Award winners
| Place | Prize | Team name | Team members | Country |
|---|---|---|---|---|
| 1st place | 10 000 EUR | MUR | Miguel Ureña | Spain |
| 2nd place | 5 000 EUR | ASE_TEAM | Ebru Şen Ahmet Hilmi Oyan Serdar Ayar | Türkiye |
| 3rd place | 3 000 EUR | YXAnalys | Yingfu Xie | Sweden |
Reusability Award winners
| Place | Prize | Team name | Team members | Country |
|---|---|---|---|---|
| 1st place | 10 000 EUR | ASE_TEAM | Ebru Şen Ahmet Hilmi Oyan Serdar Ayar | Türkiye |
| 2nd place | 5 000 EUR | MUR | Miguel Ureña | Spain |
| 3rd place | 3 000 EUR | HCSO | Róbert Lakatos László Mészáros István Porupsánszki Miklós Salánki | Hungary |
Innovativeness Award winners
| Place | Prize | Team name | Team members | Country |
|---|---|---|---|---|
| 1st place | 5 000 EUR | HCSO | Róbert Lakatos László Mészáros István Porupsánszki Miklós Salánki | Hungary |
| 2nd place | 3 000 EUR | MUR | Miguel Ureña | Spain |
| 3rd place | 1 000 EUR | DOUBLE_A | Andreas Hadjittofis Andreas Soteriou | Cyprus |
Since the Reusability and Innovativeness awards both required thoroughly described and documented solutions we are happy to share the solutions by all winners:
Solutions of the Reusability and Innovativeness Award winners
- ASE_TEAM: GitHub repository
- MUR: GitHub repository
- HCSO: GitHub repository
- DOUBLE_A: GitHub repository