CASE STUDY
From fragmented pipelines to a unified data foundation in Pharma R&D
IMPACT SUMMARY
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Time-to-insight acceleration
From data collection to actionable insight in 2 days.
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Efficiency in data processing
Parallelized workflows and pipeline orchestration
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Operational cost savings
Lowered data ops and analytics infrastructure spend.
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Reduction in manual reporting tasks
Fewer analyst hours needed per report cycle.
Project Snapshot
A leading biotech firm faced major delays in R&D decision-making due to siloed data
infrastructure. Clinical trial data, lab results, and market feedback were scattered across
legacy systems and cloud instances—creating bottlenecks in analytics, compliance risks,
and duplicated reporting. Teams lacked trust in data accuracy and spent more time
validating sources than generating insights. Without a scalable architecture, innovation
timelines lagged and opportunities to accelerate drug development were lost.
Our Solution
We rebuilt the firm’s data foundation from the ground up—designing a modern,
cloud-native architecture that unified all research, operational, and market data into a
single, governed ecosystem. AI agents mapped data schemas, flagged duplication, and
enforced MDM standards across systems. Metadata cataloging and lineage tracking
ensured compliance and transparency. Now, analysts and researchers pull from one
trusted layer—fueling faster insights, safer trials, and a more responsive R&D process.
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Move past the hype. Get real world results – fast.
Move past the hype.
Get real world results – fast.