Who We Are
We empower the Pharma industry with our innovative products
The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. Already a laggard in analytical maturity, the Pharma industry had been facing challenges to adapt to a Big Data world.
We saw that the products offered by technology companies were too rigid and generic to handle novel problems. The custom solutions offered by consulting organizations took too long to deploy and required many services to maintain and improve.
We felt the need for a different approach to finding solutions and we knew it would take a different kind of company to build it. That’s why DataZymes.
We’re focused on creating the world’s best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modeling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis.
What We Do
We make digital products purpose-built for Pharma
To achieve our vision, we have taken up the hardest problems that Pharma is struggling with. We have picked specific use cases where we feel we can provide the most impact. We have built vertical productized solutions – from data to insights – and enabled stack through cloud-native, secure, scalable, and agile analytical platforms. These comprise of data platform and one or multiple insights applications.
To enable these vertical, productized solutions we have a rockstar professional services team that ensures clients get the best value with a great user experience. Our problem-solving culture fosters continuous improvement – our solutions are constantly upgraded by our visionary product development team.
How We Help
We create the disruption that Pharma needs
At DataZymes, we believe we are the catalysts, the change agents for a better tomorrow — born to disrupt the way analytics and insights are delivered to the Pharma industry. Life Sciences need not depend any longer on established consulting companies for sub-optimal solutions.
We Take Pride in Solving Problems That Matter
We don’t bury problems, we face them head-on. We believe it is critical to discuss and evaluate challenges extensively in order to arrive at the correct solutions.
At the heart of our organization lie our CORE values that guide and support us at every step of the way.
We challenge one another to push boundaries and think beyond them. We explore, learn, test, iterate, and improve all the time
We promote individual decision-making combined with accountability. We jump into problems without the fear of making mistakes and aspire to grow continuously
We treat all employees and customers with dignity. We always act with empathy, honesty, transparency, and integrity
We have high standards for ourselves and one another. We take pride in our work and have an uncompromising focus on impact and excellence
We Have a Cross-functional Team of Pharma and Technology Consulting Experts
DataZymes is led by experienced industry professionals and biopharma experts. Together with Pharma and Life Sciences clients, we work to improve the patient outcomes and healthcare ecosystem.
We have strategic partnerships with the best technology companies to build world-class solutions for Pharma and give them the competitive edge.
Tableau is our visual analytics platform partner. We are connected with their engineering, solutions, and client services teams to bring the best of Tableau to our tools.
Reltio is our leading master data management platform partner. They help us leverage their functionalities to provide Pharma with high-quality data.
Matillion enables complex and sophisticated data pipelines to extract, transform, integrate, and load Pharma datasets for high volumes and faster time to insight.
KNIME builds software to create and produce data science using an easy and intuitive environment, enabling every stakeholder to focus on what they do best.