Pharma and Life Sciences AI Solutions
Opportunity for Pharma to improve operating margins by 20 – 50%
using Data Science, AI & ML Technologies.
Transformation enabled by 90+ use-cases across the Pharma value chain.
Choose Gramener as your data science partner
in pharma & life sciences
The Need to leverage Data Science, AI and ML
in Pharma & Life sciences
Five Transformative Forces shaping the Industry
Healthcare & Lifesciences is transforming as seen by:
- Increasing Healthcare cost pressures
- Increasing Patient centricity & Personalization
- Entry of Digital natives into healthcare
- Transforming the role of healthcare stakeholders
- Technology advancements in Sciences, Digitization, Data Science & Advanced Analytics including AI & ML
Pharma companies can improve operating margins
by 50% Using Data Science
Improvement opportunities across the value chain
Improvement opportunities exist across the Pharma functions of R&D, Operations, Sales & Marketing, and Enabling functions.
The improvement potential could be 5% in revenue, 5-20% on cost baseline, or in total 20-50% improvement in the operating margin.
3 Lighthouse Project examples from 90+ Use-Cases compiled exclusively for Pharma Senior Executives
Drug Research & Development
Computer vision for drug content analytics, Anonymize Patient data, Generate clinical study report; patient narratives
Optimize manufacturing yield and Overall Equipment Effectiveness (OEE) by creating a digital twin of the operating process
Pharma Sales & Marketing
Leverage physician segmentation & performance data, salesforce capacity and historic calling patterns
Compelling reasons to choose Gramener as a Data Science Partner for PHARMA and Lifesciences
Proven Pharma Domain Expertise
Gramener can help you with 90+ Use-Cases curated across R&D, Operations, Commercial & Support Functions, with hands on implementation of 30+ Use-cases
Broad & Deep Tech Expertise
Gramener’s Innovation Labs ensures to be at the cutting edge of advanced AI & ML technologies such as Computer Vision, Natural language processing & generation
DS & AI Platform for Productivity
Gramex low code framework enables data scientists rapidly build enterprise grade custom applications, enabled by ready to use Microservices, Data Connectors, Processors, Pre-built Libraries, Models, Visual Analytics & Storyboard Templates
ROI Focus, Mindset & Accountability
Gramener starts every project by assessing the business impact potential for the client by implementing a use-case and investigating if there us a positive ROI potential upfront
One-Team Partnership Mindset with internal & external resources
Gramener starts with a holistic advisory to clients on creating a data & analytics roadmap, and partnering seamlessly with best of breed 3rd party software/ service providers already chosen by clients to ensure business impact
A Decade of Track Record with Satisfied Clients
Our clients are our best ambassadors and are testimony to the value we support them create
our solutions are trusted by
Pharma & Lifesciences companies, can choose from four options, ranging from 4 hours to 8 weeks, to leverage Gramener’s advice before embarking on Use-case implementation support
Executive Advisory on the Art of the Possible (4-6 Hours)
Empower leadership teams to build a data-driven organization. Learn to harness the power of data & analytics to enhance your Organization
Data & Analytics Strategy and Roadmap
Help enterprises develop a business-aligned D&A strategy and translate it into a comprehensive roadmap with high-impact use cases.
Data & Analytics Use Case Design
Help organizations design the blueprint of D&A use cases including functional design, technical approach and business ROI.
Establish a Data & Analytics Team
Support Enterprises to strategize, establish and scale a Data and Analytics team / Center of Excellence (COE)
Get 90+ Pharma Data & Analytics Use-Cases
To secure access*, click the “Get Me Access” button or write to us at firstname.lastname@example.org.
*Exclusively for executives accountable for Digital, Data & Analytics transformation in Pharma, Generics, Life sciences companies