Data, Digital & Technology
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Data, Digital & Technology
Digital transformation isn’t just about adding more tools or chasing the next AI breakthrough. It’s about ensuring data, digital and AI deliver real business value through faster decisions, smarter operations and a more connected enterprise.
At ZS, we work at the intersection of business and technology as an end-to-end partner, we combine deep domain and industry expertise, process excellence and modern technology to help organizations realize that value at scale and with speed.
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Consulting and technology solutions
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Let’s connect
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What we do
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Digital & Technology Advisory
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Digital & Technology Advisory
Build the foundation to scale innovation across your enterprise. Align business and IT strategies, modernize technology and make the right investments in your digital, data and AI capabilities.
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Digital Products, Solutions & Platforms
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Digital Products, Solutions & Platforms
Bring AI, human-centered design, engineering and data together to create connected experiences for your teams and customers. From transforming how you use enterprise CRM systems to building proprietary assets, we help people work and engage in new ways.
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Data, Analytics & AI Transformation
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Data, Analytics & AI Transformation Banner
Turn complex data ecosystems into scalable, AI-ready environments that power analytics and insights across your business, all while modernizing how analytics turns information into intelligence.
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The next frontier for pharma IT: Agentic AI in action
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AIagents aren’t the future—they’re already reshaping pharma today. Join ZS’s Mahmood Majeed and Forrester’s Arielle Trzcinski as they share unique insights from 100+ tech leaders on scaling AI, reimagining work and building smarter, faster and more human-centered pharma systems.
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Watch now
Watch now
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Differentiators that move the needle
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ZS helps you turn data, digital and technology strengths into measurable value
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Expertise that spans the healthcare ecosystem
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From strategy to care, we understand how healthcare moves. With decades of experience across pharma, medtech, plans and providers, ZS combines data, AI and deep industry expertise to solve the challenges that keep leaders up at night.
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Unify your data to drive enterprise intelligence
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Real progress happens when insight flows freely across teams and decisions. ZS integrates datasets, platforms and processes so leaders can see clearly, move faster and make decisions that turn enterprise potential into measurable performance.
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Turn every project into a foundation for speed
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We test what works, share what we learn, and turn every project into a foundation for speed. ZS brings decades of data and analytics expertise, proven frameworks and prebuilt digital accelerators that get results into the market faster.
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Focus on outcomes, not output
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We measure success in outcomes, not output, and we design systems that keep delivering long after the project ends. Our goal isn’t transformation for today. It’s building the capacity to keep delivering outcomes long after the initial project.
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Push boundaries responsibly
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Innovation only succeeds when people trust it. ZS designs for data governance, privacy, security and responsible AI practices, so you can push boundaries with confidence.
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Hear from our clients and partners
There has never been a better time to rethink the way we operate in our industry and to rethink how we want to operate as a company.
Alex Koehler
VP and head of Digital Technology and Innovation at Amgen
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The opportunity that we see is thinking about patient services. We asked, what if we could bring all our existing programs together under one interconnected patient data ecosystem?
Seth Freund
North American Data, Digital & IT, Novo Nordisk
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We will continue to work with ZS to innovate as they bring solutions for healthcare and life sciences that aim to transform the industry along the entire value chain.
Chris McCurdy
Chief Architect for Healthcare and Life Sciences at AWS
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Clients/Partners
We’re part of a powerful partner network
Our partner-led approach strengthens go-to-market channels, accelerates solution deployment and ensures we remain at the forefront of emerging technologies.
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Adobe logo
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Explore our products and solutions
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ZAIDYN®
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ZAIDYN
Unify data, analytics and workflows across commercial, medical and patient teams on one AI-powered life sciences intelligence platform.
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Personalize.ai
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Personalize.ai
Use AI to personalize every interaction and help your brands drive loyalty, conversion and revenue.
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Trials.ai
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Trials.ai
Digitize and optimize clinical trials with intelligent design, faster data flow and automation that keeps studies on track.
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What makes ZS uniquely positioned to solve complex data problems?
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Data in life sciences is rarely simple—spanning research and development all the way through the provider and patient journey. ZS brings deep experience to all of it, built over decades of partnering with the world’s leading pharma, medtech and health organizations. Our teams understand the data models, privacy frameworks and regulatory constraints unique to this industry, and we know how to connect scientific, operational and commercial data. That expertise isn’t just good for our life sciences clients; it also equips us to solve the toughest data challenges in other industries.
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How does ZS use its partner ecosystem to deliver?
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ZS partners with a powerful network—including AWS, Snowflake, Databricks, Microsoft, Informatica, Salesforce and Veeva—to deliver scalable, secure, and high-performance data integration and analytics solutions.
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How does ZS maximize the ROI of CRM investments we already made in Salesforce or Veeva?
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ZS views the CRM system as a part of an integrated ecosystem—connecting the CRM with an agentic system to deliver proactive insights, orchestrate workflows, and create consumer-grade user experiences. This approach avoids costly bolt-ons and drives smarter, more scalable engagement.
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How does ZS prepare data for AI?
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ZS gets data AI-ready by using advanced engineering, automated extraction, contextual enrichment and rigorous governance. This includes digitizing raw documents and harmonizing structured and unstructured data to ensure accuracy, completeness and AI readiness.
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