Mead Johnson Nutrition Accelerates Data Innovation with Tiger Analytics and Microsoft Azure

In the competitive landscape of pediatric nutrition, innovation is often constrained not by a lack of ideas but by the friction hidden within enterprise data systems. For global leaders like Mead Johnson Nutrition (MJN), legacy SAP environments and siloed data storage can quietly impede critical operations from reporting and forecasting to compliance and AI adoption. This challenge becomes particularly acute in the retail life sciences and consumer health sectors, where new products must meet stringent safety and scientific standards at enterprise scale.

When MJN embarked on a major digital transformation initiative—migrating from SAP ECC to SAP S/4HANA—they faced a critical juncture. The transition disrupted their existing data replication layer that fed analytics and reporting systems across the enterprise. To maintain business continuity while laying the foundation for future innovation, MJN needed a partner who could move quickly without compromising the boundaries, systems, and regulations that keep them compliant.

The Tiger Analytics Advantage

Enter Tiger Analytics, a Microsoft partner with specializations in Analytics and AI and Machine Learning. Founded in 2011, the firm has built a reputation for solving high-stakes data challenges with clarity and speed. With a team of more than 6,200 professionals and deep expertise in SAP, data engineering, and Azure cloud services, Tiger Analytics brings the precision and speed their namesake suggests.

MJN's decision to partner with Tiger Analytics was informed by an already-established relationship. The two organizations had previously collaborated on various data engineering initiatives, creating a foundation of trust and understanding. When the S/4HANA migration threatened to disrupt critical data flows, MJN turned to Tiger Analytics once again to design, build, and operationalize a new replication layer that would enable seamless data flow from the upgraded system to MJN's analytics platform.

Strategic Goals for Digital Transformation

MJN outlined three key strategic objectives that their solution needed to support:

1. Real-time replication from S/4HANA into the DnA Delta Lakehouse for advanced analytics, AI and machine learning use cases, and enterprise-wide reporting

2. Clean and secure nutrition data delivery from SAP S/4 to the Global EDAP team, which manages centralized analytics and data processing across business units

3. A smooth, timely transition to ensure business teams retained access to business-critical SAP tables throughout the migration process

These goals reflected MJN's dual mandate: to modernize their data architecture while maintaining the operational stability that their global operations require. The stakes were particularly high given MJN's century-long history of developing science-based formulas for infants and children, serving millions of families across highly regulated markets in North America, Asia, and Latin America.

Building the Foundation for Enterprise AI

By leveraging Microsoft Azure's cloud capabilities in partnership with Tiger Analytics' data engineering expertise, MJN has positioned itself to harness insights for real-world innovation. The modernized data architecture enables faster, more efficient, and scalable enterprise AI capabilities while respecting the regulatory requirements that govern the pediatric nutrition industry.

This transformation represents more than just a technical upgrade—it's a strategic investment in MJN's ability to innovate safely and without business disruption. As the company continues to serve families worldwide, their enhanced data infrastructure provides the agility needed to respond to market demands while maintaining the scientific rigor and safety standards that have defined their brand for over 100 years.

The success of this partnership demonstrates how global enterprises can overcome data friction through strategic technology partnerships, enabling them to move fast while respecting the complex regulatory and operational constraints that define their industries.