.png)
The scope spanned the entire data lifecycle, from governance and master data maintenance to profiling, sharing, and analytics. Key priorities included establishing robust data governance models, harmonizing master data across customers, vendors, materials, and finance, and implementing advanced data quality monitoring processes. Through data enablement and secure archival, the organization ensured compliance, minimized risk, and gained greater control over sensitive information. Simultaneously, the project introduced stronger data security layers, covering user authentication, network and storage security, and segregation of duties.
To address these challenges, a dedicated global data governance team was established to lead the cleansing, standardization, and harmonization of master and transactional data, ensuring consistency across markets. To overcome organizational resistance, the programme embedded change management into every stage of implementation, leveraging local champions, cross-functional leadership, to gather employee feedback and guide cultural alignment. Business continuity was safeguarded through detailed cutover plans, robust system testing, and parallel run strategies to minimize disruption during go-live phases. The programme also implemented a “global template with local flexibility” approach, ensuring core processes were standardized while enabling regional compliance and operational needs. Extensive training programs, on-demand support resources, and collaborative workshops were deployed to accelerate user adoption across all business functions. For the complex integration of R&D and manufacturing, tailored interface layers and data bridges were developed to synchronize systems while preserving domain-specific requirements. This holistic, people-first and data-driven approach enabled the programme to build a strong foundation for operational agility, innovation, and long-term business resilience.
Let us know how we can help with your data transformation
We're here to help you make smarter data decisions.
Interested in working for us? Submit your CV here.
