Cancer detection startup saves critical time processing clinical trial data
Everest Detection, a Bay Area Biotech firm, is on a mission to revolutionise early cancer detection. Their early stage discovery process involves handling a large amount of clinical data which researchers need to clean and transform before exporting to a Lab Inventory Management System (LIMS).
$80K
savings annually
30 min
from 6 hours per week
Everest Detection wanted their scientists to be able to focus on the analysis more than on the data preparation.
Challenges
Clinical data delivered in different formats and containing data input errors
Manual and labour intensive process to extract and collate data
Engineering resources required to process data
Mammoth Solution
Mammoth’s solution empowered the researchers to bypass engineering and handle the data consolidation and cleansing by themselves.
The key benefits included:
Transparent and automated data pipeline that normalises clinical data
Access to discovery anomalies and transform data without IT
Key outcomes
With the lab researchers empowered to manage their own data, Everest now has a scalable approach to being data driven.
Some key outcomes:
Entire Data Flow managed by Lab Reseachers, not IT
Increased productivity with immediate access to data
“Mammoth allows us to have complete control of our data, without relying on engineering. In terms of time savings and increase in productivity, it’s been a game changer”
Tien Yin Yau
Senior Scientist – Everest Detection
$120K
savings annually
100%
automation in reporting
Inspired Learning Group’s new data-driven decision making isn’t just for management, it is for the entire staff.
“Mammoth allows us to have complete control of our data, without relying on engineering.
In terms of time savings and increase in productivity, it’s been a game changer”
Tien Yin Yau
Senior Scientist – Everest Detection
