Case Study
The firm wanted to automate the process of data collection regarding executive departures from companies across the world. We worked with our client to create an easy to use and visually appealing cloud-based dashboard that is updated periodically to replace the existing manual process.
Solution
- Extracted articles from the internet about companies of interest using a Selenium-based web crawler
- Developed criteria / features with predictive significance (such as lemmatized words, bigrams & underlying structure) to highlight articles specific to executive departure
- Classified said criteria by importance to increased accuracy using Naive Bayes algorithm
- Built cloud-based infrastructure to rerun process periodically and display results in an easy-to-use web-accessible format
Value Addition
Scalable process that may be extended to track multiple companies / sources
Eliminated manual input and drastically cut down time taken by existing solutions
All relevant and crucial information such as date, country, article summary with reason for leaving presented in a concise format
This model may be extended to many other applications such as tracking deals, finding relevant news & legislation
→ Related Service Offering: Private Equity Analytics as a Service