Multinational Service Company
Encordia helped a multinational service company to increase productivity in recruitment, improve data quality and standardise their global processes by leading an HR digital transformation.
Multinational Service Company
HR Digital Transformation
Our client faced significant complexity in its HR delivery, being a large scale corporation with operations spanning the UK, Asia Pacific, and the Middle East. Over time, regional variations emerged due to legal requirements and strategic decisions, resulting in fragmented systems with less visibility on data and inefficiencies in the recruitment and onboarding processes. Encordia streamlined and standardised the HR processes on a global scale to reduce complexity and improve overall efficiency.
Our Approach
We thoroughly reviewed the HR processes across all regions, with each region documenting its processes, allowing us to clarify regional differences, and their systems more broadly. The discovery phase revealed over thirty separate processes, multiple standalone systems, and varied data structures.
We collaborated closely with teams responsible for operations, delivery, and management to establish and agree on the core requirements of their HR processes.
Once established, we designed a comprehensive integration layer that collated the pulled and pushed data to all systems currently used for end to end process delivery. We reappraised all processes to ensure they complied with regional regulations, while also standardising business practices.
With a clear overview of the systems, processes, and data migration we agreed on an approved delivery plan, ready for execution.
The Outcome
We achieved:
- Increased productivity in recruitment, with streamlined processes and business process automation, which led to an increase of 75,000 productivity days per annum in recruitment processing alone
- Automated generation of over 20,000 documents, resulting in an estimated 2,500 gained productivity days per annum
- Improved data quality on data submissions through pre-population, using live integrations with systems of record