Using Mobile Data to Increase Foot Traffic in Retail
How Gongcha has utilized mobile coupons and the real time data it collects to increase foot traffic to their stores
Submissions
import.io & Web Scraping for the Average Joe or Jill
Why should just the big-shots have access to an unlimited flow of data from the unstructured web?
The NYC MTA: “Keeping Up” in the Age of Information
The MTA has historically been super sensitive about sharing data with third-party developers…Who reaps the benefits as they transition to open data?
Fighting fraud using machines
Sift Science uses machine learning and pattern recognition to detect and prevent fraud. The company has strong network effects and has managed to create and capture value by improving its product over time.
Counsyl: Genetic Testing Meets Amazon
“DNA screening for the important moments in life”, says Counsyl’s website, with family vignettes playing on loop on the site’s background. Counsyl sells a genetic test, such that via a blood or saliva sample, couples seeking to have children can […]
Uber’s Use Of Data As A Competitive Advantage
Uber uses data to create unique value offerings.
23andMe Ancestry- Are you secretly my brother?
A consumer genetics company tackles ancestry through matching data
Noah Basketball — The Data Perfected Jump Shot
Noah Basketball is a machine vision tool that facilitates impactful basketball training through data-driven analytics.
Tinder Wants You to Tone Down Your Right Swipes
Tinder is a matchmaking app that was launched in 2012. Today, Tinder has over 50 million active users, which swipe 1.8 billion times per day, resulting in more than 26 matches per day. The company states that on average users log in 11 times a day, women spending up to 8.5 minutes a day and men spending up to 7.2 minutes a day swiping. Tinder uses data analytics software from a start-up named Interana to analyze conversion, engagement, retention and root-cause analysis challenges.
The Automatic and the Zubie and How They Can Capture More Value
These two companies have the potential to make a great deal of money from their products' data.