Challenge
A government funding agency in Europe needed to assess its investment portfolio, which consisted of over 160 high-tech companies and start-ups. The goal was to analyse these companies in terms of their technology, competition level, and market presence. An analyst representing the agency was preparing for an important meeting where he would brief stakeholders on the performance of these 160 companies.
The analyst uploaded a .csv file containing the list of companies and their web addresses to Milda.ai.
Milda identified the companies, with 70% already present on the platform.
Milda automatically collected data for the remaining 30% of companies.
Within 12 hours, Milda enriched the data for these companies, linking them to similar companies, matching them with intellectual property databases, extracting location and network data, and calculating advanced metrics.
94% data coverage was achieved within 12 hours.
The analyst was able to export data on 153 of the 160 companies, making them ready for analysis.
The client began tracking the 153 companies on Milda, receiving weekly alerts with updates on new investments, partnerships, and other relevant data.
Convenience
The process required almost no direct effort from the analyst, as Milda handled the data collection and enrichment automatically.
Comprehensive coverage
Near-total data coverage was achieved in under 12 hours, allowing the analyst to have a complete and up-to-date view of the portfolio.
New insights
The data on investments made by the companies in the portfolio proved to be highly valuable for the agency's decision-making process.
This case study demonstrates how Milda.ai's data enrichment capabilities can quickly and effectively prepare a comprehensive analysis of a large company portfolio, providing valuable insights with minimal effort.
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