Life sciences companies are trying to tap into exponentially growing data sources and adopt new analytical approaches to unlock insights for defining targets and devising strategies around brand growth, competitor analysis, new launches, patients’ unmet needs and inventory planning. Effective utilization of analytics is proving to be a key differentiator between the leaders and laggards. Hence, data engineering and effective data visualization become critical.

At WNS, we work with our clients to successfully scale their data engineering and visualization capabilities, and establish best-in-class customer-focused functions while delivering agile yet comprehensive, effective yet efficient, and simple yet scalable solutions.

Our vast experience in open source technologies and enterprise solutions enables us to provide execution muscle for driving bespoke data engineering and data visualization solutions for our clients.


WNS built a cloud-based big data platform, integrating 200+ disparate data sources
WNS defined the data strategy to enhance the cloud infrastructure, and data management & reporting
WNS developed a Power BI dashboard to enable tracking of sales and other key performance indicators


Segmentation and TargetingData Strategy and Advisory

We support our clients in establishing their data and infrastructure strategy for their analytics and big data needs. We help define the optimal Key Performance Indicators (KPIs) to drive their business performance. We perform a feasibility analysis on tools / technologies and design the operating model for clients’ Business Intelligence (BI) capability – encompassing people, processes and the technology required to deliver best-in-class BI, either in-premise or on-cloud.

Sizing and Territory AlignmentData Engineering

WNS’ end-to-end data engineering capabilities help clients leverage their existing and new investments to evolve towards using information strategically. We enable enterprises to implement connected data supply chains using scalable data architectures, state-of-the-art technologies and best practices. WNS’ data engineering services ensure smooth flow of data across the enterprise, thereby increasing ROI from data inventory.

Incentive CompensationReporting Analytics

We design and build intelligent, standardized processes to align data from disparate systems. This enables clients to ‘slice and dice’ their data in new ways. We have developed alliances with market-leading BI technology vendors such as Microsoft, Tableau, Qlik, etc. We combine this with our proven best-practice methodologies and design principles to deliver best-in-class reports to our clients.

Sales Reporting and AnalyticsData Governance

We help our clients Discover, Understand, Govern and Socialize their data to support their data governance needs. We enable data visibility, control and collaboration to unlock real business value of their data assets. We support master data management to integrate customer’s data (customer profile and customer affiliation) across various data sets to provide a single view of the customer.

The WNS Advantage

Therapeutic Area Expertise

WNS leverages 15+ years of experience in research and competitive insights services to drive outcomes for more than 30 leading life sciences clients. We support 17+ therapy areas covering 150+ indications.


Domain Knowledge

WNS has a global team of analysts, well-versed in a full range of life sciences data sources and deep operations. Our 2900+ people strong research and analytics team – comprising data analysts, engineers, project managers, subject matter experts and data scientists – solves the BI data management and visualization implementation challenges of clients for in-premise or on-cloud deployment.



A dedicated Artificial Intelligence Innovation Lab is focused on building enterprise-grade, scalable and business outcome-focused solutions for our clients. We have developed a portfolio of innovative products combined with advanced analytics, which enables a fit-for-purpose solution for our clients.


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