A Leading Economic Hub Optimises Operations with Data-Driven Solutions
10
days faster, cost-effective delivery (DataOps/MLOps)
4M+
rostering scenarios, improved employee well-being and flexibility
5x
faster and precise analytics
About the company
A leading economic hub, employing over 500 workers, handles over 5 million tonnes of cargo annually. It facilitates logistics for numerous ships and tourists, contributing significantly to the region’s economic activity. While not directly mentioned, the economic impact of this hub is substantial, generating billions in GDP and supporting numerous jobs.
The Challenge
This vital economic hub needed to optimise their complex rostering process while ensuring employee well-being and operational efficiency. Manual methods proved cumbersome, leading to unpredictable schedules, fatigue, and high turnover.
Solution
Partnering with dataengine, the customer embraced a data-driven approach. Leveraging DataOps, MLOps, and agile methodologies, dataengine delivered a multi-phased solution:
Decoupling data: A data integration layer separated data from core systems, ensuring flexibility.
Centralised data platform: A data lake and operational data store simplified integration, facilitated faster billing integration, and unlocked advanced analytics.
Data management platform: Enhanced existing data management practices, ensured good governance, data remediation, and compliance.
New operating model: Supported new platforms and capabilities, empowering data teams to deliver sustainable value through standardised practices and governance.
Outcome
10x Faster Delivery: DataOps and MLOps reduced delivery time by ten days.
4M+ Rostering Scenarios: The solution generated millions of scenarios to improve employee well-being and flexibility.
Improved Efficiency: Processing time decreased by 90%, enabling faster decision-making.
Optimised Resourcing: Data-driven insights identified upskilling as a key solution, reducing operational costs.
Continuing Collaboration: dataengine continues to work with the customer, evolving and optimising the analytical product for long-term success.
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