Google Cloud Platform Case Studies How SkinVision Is Saving Lives With Tech Help from Looker + Stitch

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	How SkinVision Is Saving Lives With Tech Help from Looker + Stitch Google Cloud Platform

How SkinVision Is Saving Lives With Tech Help from Looker + Stitch

Google Cloud Platform

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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 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.

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.

Impact #1	Once a user is deemed “at risk” for skin cancer, SkinVision must get in touch to ensure they are seen by a doctor. The customer support team works with Looker, allowing them to know who to contact faster than ever before.
Impact #2	Since implementing Looker, SkinVision has experienced a cultural shift. With easy access to data, users across the company are now empowered. The easy-to-understand platform delivers answers to virtually any question, allowing everyone to dig deeper on their own, ask questions, and get answers they can trust, knowing the data is fresh.
Impact #3	Gone are the days of data bottlenecks and long turnaround times. With Looker, there is no more waiting in queue to make a request to someone in IT, who would run a SQL query against the relevant datasets.

Impact #1

Once a user is deemed “at risk” for skin cancer, SkinVision must get in touch to ensure they are seen by a doctor. The customer support team works with Looker, allowing them to know who to contact faster than ever before.

Impact #2

Since implementing Looker, SkinVision has experienced a cultural shift. With easy access to data, users across the company are now empowered. The easy-to-understand platform delivers answers to virtually any question, allowing everyone to dig deeper on their own, ask questions, and get answers they can trust, knowing the data is fresh.

Impact #3

Gone are the days of data bottlenecks and long turnaround times. With Looker, there is no more waiting in queue to make a request to someone in IT, who would run a SQL query against the relevant datasets.

Benefit #1	SkinVision projects they will save 250,000 lives in the next decade.

Benefit #1

SkinVision projects they will save 250,000 lives in the next decade.

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Overview

How SkinVision Is Saving Lives With Tech Help from Looker + Stitch

Operational Impact

Quantitative Benefit