This success story showcases how the analytics center of excellence delivery model improved the relevance and quality of scientific content for a global pharma intelligence provider.
As we know...
Pharma companies rely on high-quality, timely and actionable intelligence to drive strategic decision-making and unlock value at speed. Data-led insights are vital to core enterprise objectives, including navigating market complexities, adapting to evolving customer expectations and optimizing portfolio strategy.
This puts the onus on intelligence and research firms to provide pharma companies with calibrated and connected data to support the end goal of helping patients get access to life-saving therapies.
The challenge for the pharma research firm was...
Meeting its clients’ growing demand for comprehensive coverage, high-quality analysis and rapid turnaround. The firm lacked the specialized skills required to process complex and unstructured scientific information, derive insights and provide an up-to-date view of the global drug pipeline and sales forecasts.
Compounding the challenge was the pressure to scale operations as the clients’ needs grew with geographic and portfolio expansions. With a lean team possessing generic skills, the firm found it difficult to manage existing content, let alone add new datasets or increase coverage.
WNS stepped in as a research and analytics partner...
Leveraging WNS Analytics Center of Excellence (CoE), a key pillar of WNS Analytics (our data, analytics and AI practice). We implemented a data management and analysis solution that involved deploying highly specialized domain experts, leveraging best practices in operations delivery, and incorporating Artificial Intelligence (AI) tools specific to the pharma and life sciences sector.
Key aspects of the solution included:
- Employing highly sophisticated tools to acquire unstructured scientific information from public sources, third-party sources, syndicated reports and clinical trial registries of multiple countries
- Deploying domain experts to identify and monitor drug-specific competitive information, resulting in the creation of therapy records
- Integrating equity research into therapy records to publish a global view of the healthcare market
- Developing an authoring tool to record, publish and report this highly strategic content from across the depth and breadth of global coverage
Streamlined operations enabled the pharma research firm to…
Retain and grow its customer base while expanding its global coverage of insights across the pharma, biotech and MedTech sectors. By steering end-to-end content operations, WNS created transformative value for the client through the constant enrichment and addition of datasets and ideation on new revenue streams. Furthermore, transitioning content operations enabled the firm to focus on new product development.
Tangible benefits for the client included:
- 100x increase in company coverage
- 50x scale-up in database coverage and geographic expansion
- Less than 24-hour turnaround time on key projects
About WNS Analytics:
WNS is a digital-led business transformation and services company with 60,513 professionals across 64 delivery centers worldwide, including facilities in 13 countries. WNS combines deep industry knowledge with technology, analytics and process expertise to co-create innovative, digitally led transformational solutions with over 600 clients across various industries. WNS Analytics is the Data, Analytics and AI practice of WNS that enables business decision intelligence for clients by combining Artificial Intelligence (AI) and Human Intelligence (HI). We cater to 250+ global companies including Fortune 100 and Fortune Global 500 organizations. WNS Analytics is a robust practice of 6,500+ Domain, Data, Analytics and AI experts with proprietary AI-led assets and innovative technologies. We enable businesses to make transformative decisions backed by data-led intelligence, ensuring differentiated outcomes. WNS Analytics is an end-to-end Consulting-to-Implementation partner delivering business goals for clients with an integrated ecosystem of co-creation labs, strategic partnerships and outcomes-based engagement models
To know more, visit https://www.wns.com/capabilities/analytics
FAQs
1. Why should pharmaceutical organizations establish an Analytics Center of Excellence (CoE)?
An Analytics Center of Excellence centralizes data, domain expertise and advanced analytics capabilities to deliver consistent, high-quality business insights across the enterprise. For pharmaceutical organizations, it improves research quality, accelerates insight generation and supports better strategic decision-making. WNS helps life sciences organizations build scalable Analytics CoEs that combine AI, automation and scientific expertise to improve operational efficiency and business growth.
2. How can an Analytics CoE accelerate pharmaceutical competitive intelligence and market research?
Pharmaceutical companies rely on timely intelligence covering drug pipelines, clinical trials, competitor activity and market dynamics. An Analytics CoE streamlines the collection, analysis and publication of scientific information through standardized processes, AI-powered automation and domain specialists. WNS enables faster, more comprehensive competitive intelligence that supports commercial strategy, portfolio planning and innovation.
3. How can AI and automation improve scientific content management in pharmaceutical research?
Managing large volumes of scientific publications, clinical trial data and competitive intelligence manually can slow decision-making and limit scalability. AI-powered analytics, Natural Language Processing (NLP) and intelligent authoring tools automate data extraction, classification and content generation while maintaining scientific quality. WNS combines AI with life sciences expertise to improve research productivity, accelerate turnaround times and enhance knowledge management.
4. What challenges do pharmaceutical intelligence providers face when scaling global research operations?
Organizations often struggle with fragmented data sources, unstructured scientific information, growing therapeutic coverage requirements and shortages of specialized talent. These challenges affect insight quality, consistency and speed. WNS helps pharmaceutical research organizations overcome these barriers through scalable Analytics CoE models, standardized operating frameworks and AI-enabled research operations.
5. Why should pharmaceutical companies partner with WNS for analytics-led research transformation?
WNS combines deep life sciences expertise with advanced analytics, AI, machine learning and global research operations capabilities. From competitive intelligence and scientific content management to data engineering and analytics consulting, WNS helps pharmaceutical organizations build intelligent research ecosystems that improve decision-making, accelerate innovation and create sustainable competitive advantage.