Multiple Sclerosis RWD Study
Case Study
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Motivation

We receive thousands of files a year that need to be cleaned and harmonized into a standardized

format. Today, we have to write a custom code script for each file. If we keep going on this way,

we’ll 🔥 out our team and our budget.

Key Results

🖼No-code dashboard replaces the need for thousands of lines of custom code

🧹Automated cleaning and harmonization system ensures highest quality results

📈System is ready for future growth and scale

Challenge

In order for new customers to be onboarded to a client, their census data must be ingested into

the clients’ database.

Census files are often messy, requiring extensive cleaning before they can be uploaded.

The client’s data science team was on track to spend 1 FTE / year writing hundreds of custom

scripts to clean files.

Preparing for January 2023 with the current process would have taken 100% of the data

foundation team capacity, blocking any new investments.

Deliverables

No-code configuration and testing dashboard. Empowers implementation team to define

company specific business logic and test outputs in a UI

Smart cleaning package. Extensible package automates file cleaning tasks, removing the need

for company-specific scripts

Daily CRON job to process latest census files. Deployed, scheduled ETL runs without the need

for manual running or babysitting

Business Impact

All files for January 2023 launches leveraged the new process. 100% passed the new quality

control checks.

One implementation team member implemented and monitored cleaning using a no-code

interface.