Catalyzing Innovation in Pharma

with Data-driven Digital Products

Cloud Platforms

to Drive Business Outcomes

Competitive Insights

for Strategic Advantage

Delivering Superior Value

in Life Sciences

Purpose-Driven Disruptive Innovation

At DataZymes, we are the catalysts and change agents for a better Pharma.

Deep Focus on Pharma

To achieve our vision of catalyzing Pharma innovation, we've taken up the hardest problems faced by Pharma today.

Data-Driven Problem-Solving

To solve these problems, we extensively leverage data and cutting-edge technologies to create novel solutions.

Collaborative Partnership

Client-centric collaborative approach to build transparent, scalable solutions realizing short-term value while being aligned to long-term goals.

Tech-Driven Expertise with Industry Best Practices

We take a holistic, integrated, and cross-functional approach to deliver business solutions.

Analytics Services

Advanced analytics using cutting-edge machine learning and AI techniques to extract maximum value from data.

  • Consumer and Prescriber Analytics
  • Marketing and Omnichannel Analytics
  • RWE and Patient Analytics
  • Specialty and Sales Performance Analytics
  • Market and Competitive Insights
  • Medical Affairs Insights
  • Data Science and NLP

Technology Services

Robust technology infrastructure and architecture to support enterprise data initiatives.

  • Data Engineering
  • Master Data Management
  • Data Quality Implementation and support
  • Data Governance and Strategy
  • Data as a Product (ARDs)
  • Visual Analytics
  • Custom AI/ML Applications

Data-Driven Digital Products for an Empowered Pharma

Our Digital Products accelerate the data-to-insights journey for Pharma.

Key Product Tenets

Purpose-built

Readily Deployable

Modern Tech Architecture

Enable Self-serve

Our Products

Innovative solutions designed specifically for the pharmaceutical industry.

HARMONY

Best in Class Commercial Data Platform

LUMEN

AI Powered Intelligent Data Quality

INTELLIA

GenAI for Competitive Intelligence

MAVEN

Next Gen Omnichannel Measurement

Insights

Advanced Predictive Analytics: Driving Operational Efficiency across Pharma Processes

The pharmaceutical industry is facing growing competition with increasing pricing pressures and strict regulations. Evolving drug regulatory landscape and supply disruptions caused by the pandemic cast a shadow on operations. To reduce their costs and increase profitability, adopting operational excellence and transforming in an agile way is the way forward.

Embracing data-driven decision-making that is proficient in data ingestion and generating actionable insights through analytics platforms is driving change in pharma.

Dissecting Operational Efficiency: A Case in Point

Operational efficiency broadly refers to the ability of an organization to deliver quality services with relatively less resources.

How Predictive Analytics is Refining Pharma Processes?

Clinical Trials

The goal of these data analytical models is to improve the operational efficiency of all phases of the clinical trial.

Drug Discovery

These technologies are helping biotech companies and their research partners identify and select promising therapeutic molecules with a potential to treat certain illnesses.

Drug Safety and Pharmacovigilance

In drug safety processes and pharmacovigilance, analytics are also playing a pivotal role.

Drug Supply Chain

Next key area of impact is in the drug supply chain.

Drug Marketing and Advertising

Another area of operational efficiency is drug marketing and advertising. Companies rely heavily on predictive analytical models during early stages of product development.

Using Advanced Analytics: The Challenges

Considerable number of pharma companies seem interested in applying prototyped analytics solutions and have sought to operationalize them.

References