We divide our work into four distinct stages:
- We continuously scan publicly available data to retrieve new IT system implementations in education. We gather our information from university and company websites, social media accounts, and press releases. We also review requests for proposals, contracts, board approvals and other legal documents to amass more data.
- Each day, we review over 25,000 new alerts. Compiled in a central database, this information is initially filtered using machine learning algorithms to remove useless information. Then, our team of over 20 full-time employees manually looks at the information to add new product lines or modify existing lines to enrich our database.
- Each month, our data quality experts test 1,000+ database entries to ensure that our information is accurate.
- Each year, we perform a thorough database review to ensure that the institutions are still using the identified systems. We are proud to say that our 300,000+ data lines (comprising more than 3,000,000 data points) are accurate and verified yearly.