Scalable Data Architecture for a Pharma Giant

Case study - Pharma Giany

A pharma company needed a data system to handle the massive influx of R&D and operational data.

THE CHallenge

Scalable Data Architecture for a Pharma Giant: Challenges

A pharma company needed a data system to handle the massive influx of R&D and operational data

Despite these hurdles, Cipla aimed to create a seamless experience for its users, reinforcing its commitment to innovation and accessibility in healthcare.

THE solution

Scalable Data Architecture for a Pharma Giant: Solution

We built a cloud-native data architecture with automated pipelines for real-time processing.

Glimpses of the DXP we built for Cipla

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This includes the detailed solution we provided them to overcome their challenges
THE impact

Scalable Data Architecture for a Pharma Giant: Impact

Data processing times decreased by 40%, enabling faster time-to-market for critical products.

Data processing times decreased

0 %

Enabling faster time-to-market for critical products.

0 %
Frame 222

We see INT. as a future partner for their own expansion. After almost a decade of working together, we will need INT’s support for our new steps in the growing markets.

Michael Schiener
CEO, Cashpoint
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