#PractitionerLevelConfidence
Indegene Designs and Deploys a Data and Analytics Maturity Assessment to Drive Data Organization Transformation for a Global Pharma
The Customer
A leading multinational pharmaceutical company aimed to enhance its enterprise-wide data and analytics (D&A) capabilities to accelerate growth and transformation. The company defined three clear objectives:
Establish a baseline of current data analytics capability maturity across the enterprise.
Assess organizational readiness to drive and sustain large-scale D&A transformation.
Uncover growth opportunities to evolve D&A capabilities in step with the company’s strategic priorities.
The company planned to repeat the exercise annually, track progress, and use insights to prioritize improvements that strengthened its data foundation.
The Challenges
However, it encountered a few challenges in its transformation journey.
Lack of a robust D&A foundation
The data and analytics capabilities varied widely across markets and functions. There was no unified baseline to guide prioritisation or investment. There was also no consistent framework to assess effectiveness and readiness for transformation.
Fragmented & siloed data landscape
Disparate data models limited integration, automation, and analytics. Insight generation was inconsistent across Commercial and Medical. Hence, there was a need to improve the accessibility, security, and usability of data to better support decision-making.
Misaligned adoption & organisational readiness
Capability adoption was uneven across global and market teams. There was a need for a refreshed methodology and stronger alignment with evolving leadership priorities. Structured engagement was needed to refine reporting and strengthen cross-functional collaboration.
The Solution
To address these issues, the company partnered with Indegene and DT Consulting (an Indegene company). We introduced our proprietary Data and Analytics Excellence Maturity Assessment (D&A EMA) framework, which provided a structured and repeatable approach to benchmark D&A capability maturity year on year, surface capability gaps, and chart a roadmap toward becoming a truly data-driven enterprise.
Our approach followed a structured sequence:
Review and refinement – We identified stakeholders to review and refine the D&A maturity survey to ensure alignment with the client’s business context.
Persona mapping – The survey was tailored to two personas:
Front-end data users: For instance, Brand Marketing, Local Operational Excellence (OpEx)/Commercial Ops, Global Medical Affairs, and Medical Operations/OpEx.
Back-end data providers: For instance, Medical Data & Analytics, Data Science, Data Solutions, Data Strategy, Data Management & Reporting, and Regional Analytics, etc.
Execution – We onboarded teams to complete a self-assessment survey around key Data & Analytics capabilities, drivers of capability adoption, and readiness for further transformation. Survey data was complemented with stakeholder interviews to understand what activities had been rolled and to contextualize the data.
Analysis and benchmarking – Data was analyzed against industry best practices to provide a clear picture of maturity levels and gaps.
Recommendations – Shared targeted recommendations to strengthen readiness, build advanced capabilities, and accelerate adoption across the enterprise.
Dimensions of the D&A EMA Framework
Our D&A EMA framework measures maturity across three dimensions.
Organizational readiness
Evaluates how willing and prepared the organization is to adopt data and analytics and its key components.
Capability practices
The set of capabilities that enables an organization to drive excellence in D&A. These include data strategy, data visualizations, data integration, data management, AI readiness, data collection and processing, data access & security, and business insights.
Adoption drivers
The criteria: knowledge, speed, simplicity that highlight where the organization needs to focus to drive adoption across teams.
The Outcome
The baseline assessment revealed gaps in adoption and capability maturity across Commercial and Medical. Guided by focused capability priorities and Indegene and DT Consulting (an Indegene Company) SME recommendations, the client designed and implemented changes across processes, tools, and people enablement. his led to significant capability uplift within one year.
The assessment in Year 2 revealed the following:
The organisation improved back-end capabilities including data collection, processing and data integration. This reflected a shift in enhancing data infrastructure across Medical and Commercial.
2x ↑
YoY uplift in Data Management capability across Medical with collaborative data governance and improvement in data integrity systems
>2x ↑
Maturity in the Business User Insights capability within Medical, moving from very nascent to moderate maturity- biggest gains in processes for identifying key data themes, pre-activity checkpoints, and faster query resolution through D&A teams
1.4X ↑
Improvement in Data Integration capability within Commercial through targeted enhancements to data flows and storage
