Saama’s Data Quality (DQ) Co-Pilot is the industry’s first generative AI offering, eliminating the need for programmers to manually code and test data quality checks. See for yourself.
What is Saama’s DQ Co-Pilot?
Saama’s DQ Co-Pilot can generate any data quality check including visit window, date comparisons, reconciliations, and more. Simply describe the DQ check you need, and DQ Co-Pilot will write the code for you, automatically, using generative AI. It will even generate test data and check the code for you. DQ Co-Pilot is embedded directly in SDQ, allowing for seamless deployment.
Benefits include:
Faster trial setup
Reduce reliance on programmers
Seamless deployment
Using the industry’s most advanced artificial intelligence (AI) models, SDQ automatically identifies data discrepancies, pre-generates query text, and allows you to send queries in a few clicks. This allows data managers to generate and post a query in just 3 minutes — compared to almost 30 minutes per query with a manual data review process.
Why Saama?
Saama’s SDQ automates the data cleaning, review, and reconciliation process for data management teams.
Benefits of using SDQ include:
Accelerate Time to Database Lock
Reduce Time To Issue A Query
Manage More Studies With Existing Resources
Why Saama?
Saama’s SDQ automates the data cleaning, review, and reconciliation process for data management teams.
Benefits of using SDQ include:
Accelerate Time to Database Lock
Reduce Time To Issue A Query
Manage More Studies With Existing Resources
“
(SDQ) saved us an entire month. It really has had a significant impact on the first-pass quality of our clinical data and the speed through which we can move things along and make decisions.”
Head of Data Monitoring Top 3 Global Pharmaceutical Company
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Learn more about SDQ
SDQ Case Study Learn how Saama helped a Top 3 pharma company save data managers 20,000+ hours of manual effort.
