Data Engineering and Business Intelligence Services | BI Solutions for Life Sciences Companies | Data Engineering and Business Intelligence Consulting and Outsourcing Solutions Provider| Data Strategy & Advisory Services| Reporting Analytics & Data Governance Solutions

An effective and agile go-to-market strategy for a Life Sciences company demands advanced Business Intelligence (BI) with real-time, multi-sourced and predictive insights. The BI capabilities must be scalable to manage a growing volume of data from patients, social media, internet and clinical trials. To convert this rich raw data into a strategic advantage, there is a need to blend data engineering and visualization capabilities with data mining for actionable insights.

WNS offers a comprehensive range of scalable solutions for sales and market intelligence, physician profiling, patient intelligence, Salesforce performance, pricing and spend patterns and macroeconomic trends and forecasts. The solution leverages:

Data integration and data management, including cleansing and validation, consolidated data framework, harmonization and enrichment.

Visualization with scalable and custom dashboards and reports that can be cloud-based or on-premises and utilizes tools to provide predictive, automated and dynamic reports.

WNS’ Unified Analytics Platform, which is a unified, cloud-based, self-serve analytics platform equipped with AI-led pre-trained models and an API-driven modular approach. Deployed alongside Gage, our KPI repository platform, the platform is a game-changer for the Life Sciences sector.

Raw Data to Strategic Assets for Agility, Efficiency and Customer-centricity

End-to-end BI solutions to enable Life Sciences companies to enhance internal efficiencies, evaluate marketing ROI and improve decision-making

Data Strategy and Advisory
Data Engineering
Reporting Analytics
Data Governance

Establish data and infrastructure strategy
Define the optimal Key Performance Indicators (KPIs)
Perform a feasibility analysis on tools/technologies
Design the operating model – encompassing the people, processes and technology

Implement connected data supply chains using scalable data architectures, state-of-the-art technologies and best practices
Seamless integration of data from diverse sources
Executes data cleansing, and incorporates Master Data Management (MDM) processes
Execute data governance policies to uphold responsible and ethical use of data

Self-service Business Intelligence framework, cloud-based reporting platform, use of tools including Power BI, Tableau, Qlik, and MicroStrategy and D3.js and Plotly
Field force reporting
- Field reporting
- Physician profiles
- Incentive compensation reporting
Brand commercial business reporting
Market charter reporting
Marketing efforts reporting
Omnichannel reporting
Competitive intelligence reporting
Market uptake reporting
Forecast reporting
Market access reporting
Trade and distribution reporting

Develop governance policies
Discover, understand, govern and socialize data to support governance
Data visibility, control and collaboration
Support master data management - single view of customer
Data security protocols and measures

Client Success Stories

Client: Leading European Life Sciences Major

Scope of Work: For a client looking for a single repository of data, we created master data for the client and set up the infrastructure and access controls for different levels. The data governance was defined and integrated and we created a single view of the customer across channels and partners.

Business Impact:

~7% increase in ROI across digital channels
~75% reduction in time to generate insights due to faster ETL processes
~50% estimated increase in customer reach owing to improved fill rates and data accuracy

Client: American Oncology Biotechnology Company

Scope of Work: The client’s BI capabilities lacked scalability. The company’s business analysts managed 150+ data sources and files with no documentation and a data lake with limited governance, which led to poor confidence in the BI reports. WNS standardized, streamlined and documented data governance processes, processed and maintained data sets, recommended KPIs and implemented an integrated analytics and reporting solution.

Business Impact:

~30% faster turnaround of downstream activities
Successful implementation of advanced analytics projects
~15-25% increase in user acceptance with transparency in KPI calculation
Enabled insights into the patient journey with relevant metrics
USD 16 million in cost savings with supply-chain analytics

Client: Pharma Client

Scope of Work: The client wanted to transition from spreadsheets as a tool to collate data for pricing discussions to a consolidated single dashboard and tool with role-based access, providing comprehensive product and market information with a what-if simulator. Our team helped the client move all information to Power BI and developed a simulator tool providing a collective view across products, geographies and pricing corridors.

Business Impact:

Reduced time-to-insights with a one-stop comprehensive dashboard
Saved cost and effort in reporting and analysis
Single view of product performance, pricing corridors and influencing factors
Data drill-down capability to identify exact impacting factors

WNS Advantage

18+ years of experience in Life Sciences research and Business Intelligence services
More than 40+ leading Pharma clients
1500 BI experts with specialization in Life Sciences
Agile development framework
Strategic partnerships for cutting-edge technology and innovation
Customer-centric approach
Dedicated AI innovation lab with 50+ members
Cost-efficiency with scalable BI architecture

Data Engineering, AI-led Analytics to Power Decision-making for Pharma, Medical Devices Companies

Raw Data to Strategic Assets for Agility, Efficiency and Customer-centricity

Client Success Stories

Client: Leading European Life Sciences Major

Business Impact:

Client: American Oncology Biotechnology Company

Business Impact:

Client: Pharma Client

Business Impact:

WNS Advantage