Chief Executive Officer and Founder
Location: California, USA
Number of employees: 18
Year founded: 2010
188 King St., Unit 502
San Francisco, CA 94107
Businesses are increasingly able to collect additional data about various aspects of their work, and analysing that data can greatly improve their performance. But analysing data is a complex task, with a variety of techniques that can be employed. There can be a big difference between interrogating a data set with a great algorithm or a merely good one.
Kaggle allows clients – including Fortune 500 companies – to tap a worldwide community of over 100,000 experts in data science through a combination of consultancies and competitions.
Competitions enable businesses to offer cash prizes to members of Kaggle’s community who can improve on their existing algorithms to extract more value from their data sets. Participation can be restricted when data is sensitive. Some competitors are academics interested in testing new ideas on real-world data; others work in data science and want a challenge in their spare time.
In this way, companies can be reassured that they are squeezing maximum predictive accuracy out of their data – whether it is GE Aviation predicting arrival times more accurately, Allstate predicting who will not renew their insurance policy, or Pfizer predicting demand for drugs in different geographies.
As refining an answer first requires defining the question, Kaggle also works with businesses that have data but are not sure how it can help them, by setting up bespoke consultancy projects with community members who have ranked highly in competitions. A high Kaggle ranking has become a currency through which data scientists can demonstrate their worth.