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How SkinVision Is Saving Lives With Tech Help from Looker + Stitch
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Product Research & Development
Use Cases
- Predictive Maintenance
- Remote Patient Monitoring
Services
- Data Science Services
- System Integration
The Challenge
SkinVision, a mobile app for early detection of skin cancer, was facing a data challenge. With over a million users and growing rapidly, the company had hit a data wall in terms of volume, complexity, and ease of access and analysis. This was due to the multitude of disparate data sources and the geographical separation of their business users in the Netherlands and their IT team in Romania. As a result, SkinVision constantly faced discrepancies in how the various teams viewed, used, and interpreted their ever-expanding pool of data. Without a single source of truth, concerns grew around data definitions, accuracy, reliability, and consistency between teams.
About The Customer
SkinVision is a groundbreaking company in the fight against cancer. Founded in 2011 by researchers and dermatologists, the company has developed an early-detection mobile app that is helping individuals find, assess, and track the risk of suspicious moles and skin conditions. Participants in the SkinVision program simply take a high-resolution photo of a suspicious spot on their skin and, through the app, have it evaluated for any signs of cancer. The app even offers advice and unique treatment recommendations based on the assessment. SkinVision projects they will save 250,000 lives in the next decade.
The Solution
To address these challenges, SkinVision decided to house all the different data sources under one roof. They selected the Stitch data integration tool for bringing all the source data into an Amazon Redshift data warehouse. Stitch proved to be easier to use, delivered faster time to value, and was quite cost effective, compared to other tools evaluated. Next, SkinVision needed a solution that would allow users to access this data in a secure and scalable way. They turned to Looker, whose robust data governance infrastructure allowed them to give everyone in the company the ability to answer their own questions, while keeping access to sensitive information restricted. Today, Looker allows all users in the company to perform simple to complex analysis, create data visualizations, and build dashboards in a secure, governed environment.
Operational Impact
Quantitative Benefit
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