Case Summary
A leading investment firm struggled with manually analyzing Glassdoor eviews for investment insights, a time-consuming process. SLK Implemented an AI-driven sentiment analysis solution, processing 15 million reviews and assessing 35,000 companies. This resulted in a 480x increase in processing efficiency, enabling smarter, data-driven investment decisions.
The Challenge
Manual Analysis Limitations: The firm’s manual analysis of Glassdoor reviews was slow & inefficient, covering only 250 reviews in 8 hours.
Data Overload: Handling vast volumes of employee feedback (15 million reviews) was impractical without automation.
Missed Insights: Important cultural themes were overlooked due to the manual process, risking poor investment decisions.
Competitive Pressure: The firm needed to gain deeper insights into company culture to maintain a competitive edge.
The Solution
AI-Powered Sentiment Analysis: SLK deployed an AI solution to analyze employee sentiment across key cultural themes such as collaboration, honesty, and flexibility.
NLP-Driven Categorization: Natural Language Processing (NLP) categorized themes and provided sentiment scores for each.
Scalable Processing: The solution processed 15 million reviews in 8 hours, covering 35,000 companies.
Actionable Insights: Generated reports with clear, actionable insights, enhancing the firm’s investment decisions.
Utilized by Multiple Teams: Quant generated Alpha signals; Fundamental produced analysis reports.
Business Impact
480X
Faster Processing
35,000
Companies Assessed
