MJN powers data breakthrough with Tiger Analytics and Microsoft Azure
In the race to innovate, global enterprises aren’t usually held back by a lack of ideas but rather by the friction hidden in their data. Legacy SAP systems, siloed data storage environments, and inconsistent data structures can quietly slow operations, including reporting, forecasting, compliance, and even cutting-edge AI adoption.
This friction can be especially acute in the retail life sciences and consumer health sectors, where any new products must adhere to strict standards of safety and scientific rigor, all at an enterprise scale. In these data-intensive environments, the stakes are high, and the pressure to innovate safely and without business disruption is even higher.
Healthcare and consumer health organizations need a partner who can help them move fast while respecting the boundaries, systems, and regulations that keep them compliant. In other words, they need a partner with the speed and precision of a tiger—and Tiger Analytics is true to their namesake.
Founded in 2011, Tiger Analytics is an innovator in AI and data science consulting with a team of more than 6,200. A Microsoft partner with specializations in Analytics and AI and Machine Learning, the team helps enterprises around the world modernize complex data ecosystems at scale so they can harness insights for real-world innovation. With deep experience in SAP, data engineering, and Azure cloud services, they’ve built a reputation for solving high-stakes data challenges with clarity and speed.
And it was these capabilities that made Tiger Analytics an ideal option when global pediatric nutrition leader Mead Johnson Nutrition (MJN) decided to transform their digital operations and lay the foundation for faster, more efficient, and scalable enterprise AI.
Modernizing data architecture to fuel smarter innovation
With more than a century of experience developing science-based formulas for infants and children, MJN serves millions of families in highly regulated markets across North America, Asia, and Latin America.
The scale of their operation makes any digital transformation a significant undertaking. So when they initiated a major effort to modernize their enterprise resource planning—which included migrating from SAP ECC to SAP S/4HANA—there was some inherent risk involved. The switch disrupted the existing data replication layer that fed analytics and reporting systems across the enterprise.
To maintain business continuity, MJN needed to rapidly rebuild and enhance this layer. MJN already had an established partnership with Tiger Analytics, having worked with them on various data engineering initiatives. MJN brought Tiger Analytics in again to help design, build, and operationalize the new replication layer, enabling seamless data flow from the upgraded S/4HANA system to MJN’s analytics platform. MJN outlined three key strategic goals they needed the solution to support:
- Real-time replication from S/4HANA into the DnA Delta Lakehouse for advanced analytics, AI and machine learning use cases, and enterprise-wide reporting.
- 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.
- A smooth, timely transition to ensure business teams retained access to business-critical SAP tables.
With MJN's goals clearly articulated and the partnership already well established, Tiger Analytics was ready to get to work.
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