Enterprise Data Management: The Essential Backbone of AI Success

Executive Summary

In the fast-evolving landscape of Artificial Intelligence (AI), enterprise data management (EDM) plays a key role in unlocking the technology’s full potential. Emphasizing that high-quality data is essential to avoid biases, Infosys Consulting has successfully transformed data management for a global pharmaceutical leader, enhancing governance, quality, and collaboration. The initiative has led to measurable business outcomes and a significant leap in data maturity. As AI evolves, effective data management will remain essential for businesses aiming to lead in this dynamic landscape.

The promise of AI to transform industries is well understood, but what’s often overlooked is its critical dependency on data. High-quality, well-managed data isn’t just important; it is the very fuel that powers AI. Without a solid data foundation, AI systems are vulnerable to flawed insights, bias, and poor decision-making.

Infosys Consulting recognizes that effective AI starts with enterprise-grade data management. The approach is grounded in the EDM Council’s Data Management Capability Assessment Model (DCAM) for building and maturing data capabilities. DCAM goes beyond storage to encompass the crucial elements of governance, quality, architecture, and lifecycle management – all vital ingredients for successful AI initiatives.

Our Approach: Transforming Data Management into Strategic Value

Collaborating with a global pharmaceutical leader, Infosys Consulting applied DCAM to establish a centralized EDM function. Together, frameworks were built across:

  •  Foundational layers: data governance, metadata, and architecture
  •  Executional capabilities: data quality, security, and operations
  • Strategic elements: cross-functional collaboration and sustained adoption

A key differentiator in this engagement was Infosys Consulting’s development of an automated DCAM assessment tool, enabling real-time internal and external audits. This gave the leadership a clear and consistent view of maturity across data domains and helped prioritize areas for improvement.

The engagement also involved the co-creation of value realization frameworks, which translated improved data management into measurable business outcomes. One-click dashboards gave executives enterprise-wide visibility into data health and impact, ensuring that data management moved from back-office hygiene to boardroom strategy.

Finally, Infosys Consulting supported the client in defining both enterprise-wide and domain-specific data strategies, coupled with adoption roadmaps and organization design structure, enabling a data-first culture across teams.

Real Impact, Rapid Progress

The transformation was fast and measurable. Within a year, the client moved from DCAM Level 3 (Developmental) to 5 (Achieved) in a critical domain, which proves that a structured and comprehensive data management approach can unlock AI’s full potential.

To sum it up, “Data is not the byproduct of operations, it is the foundation of intelligence. In the age of AI, those who manage data well will lead the future.”

As AI continues to evolve, so must the data ecosystems that support it. Infosys Consulting      is a proud partner of the EDM Council and is ready to help organizations navigate this journey of turning complex data environments into strategic assets and unlocking AI’s full potential through trusted, enterprise-wide data management.

 

Author Details

Suresh Bhabu K

Suresh is a seasoned data and analytics professional with 17+ years of experience in enabling data-informed decision-making for organizations, particularly in Healthcare and Life Sciences. His proven expertise encompasses D&A consulting, architecting and implementing end-to-end analytical engines and bespoke data solutions. Known for his strong business acumen and collaborative approach, Suresh effectively navigates multi stakeholder tech landscapes to deliver large-scale data solutions that drive tangible business value

Shanmugam Lakshmanan

Shanmugam is a consulting professional with over 22 years of expertise in Business Consulting, Pre-Sales, Delivery Management, Program Management, Engineering Framework Solutions, and CoE Development for Data Management, Data Analytics & AI, Gen AI, and Responsible AI. He is presently the Data, Analytics, and AIX Practice Lead at Infosys Consulting Life Sciences.

Inder Neel Dua

Inder is Partner at Infosys Consulting and leads the Life Sciences unit. With over 18 years of consulting expertise, he specializes in Listening, Communication and Solutioning business objectives with practical implementation. Inder likes to simplify complex information, develop effective frameworks, and streamline delivery through change management and operational effectiveness.

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