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


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


"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