Pharmaceutical Manufacturer

Case Study

About the Client

Our client, is one of world’s leading healthcare providers committed to innovation in diagnostics, medical devices, nutrition and branded generic pharmaceuticals to help community lead healthier lives, full of unlimited possibilities.

The Challenge

Our client approached us for their data challenges and digital transformation initiatives.

When our team first met the client, we identified that the primary challenge is the influx of data from disparate systems and inventory management with data being spread across 47 systems. At Kasmo, we term this stage as Digital Discovery.

After a thorough analysis to identify the data pain points at a root level, our team  discovered numerous latent data challenges as hereunder:

  • Disparate data locations across 47 local ERP systems
  • Lack of streamlined business processes
  • Non availability of Master Data
  • Absence of a centralized platform for sales numbers
  • Poor visibility into overall financial status
  • Demand planning challenges
  • Legacy, manual effort intensive processes
  • Cumbersome workflows and long time to market
  • Lag in decision making
  • Data Quality & Standardization issues

The Solution

The next step was to eliminate the pain points and provide value adding data solutions. Our intensive experience in solving data challenges of businesses helped us design effective solutions as hereunder: 

  • Cloud data lake for all kinds of data needs of the client.
  • Highly scalable Data Governance Model for the client.
  • Data Standardization and automated data quality management solution.
  • Automated all data integration process by eliminating legacy manual processes.
  • Custom data security Framework to ensure data security to follow GDPR, HIPPA and other standards.
  • Automated framework for Data Localizations that facilitates all countries local currency, language and other Reporting needs.
  • Master Data Management Solution (Product Master, List of Therapeutic Areas Mater, Customer Master etc.) for Data Storage in Cloud.


We successfully integrated all solutions we offered across 40+ systems to bring the data into centralized repository.


At this stage, our client is all set to reap the benefits of cutting-edge data solutions we designed using SAP HANA cloud, architecture AWS cloud, PySpark in the place of legacy systems.

Interested to learn more, talk to our experts