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Home >> Operations Case Studies >> Commercial Productivity Uplift
case study: Commercial Productivity Uplift
| BACKGROUND |
Our client, the commercial lending division of a leading Australian banks' middle office function, had recently been restructured into a regional model with offices in all mainland capitals. Processing volumes were increasing rapidly as a result of a significant increase in the number of relationship managers. The increased volume necessitated long hours in the middle office and resulted in poor quality of service. Overtime costs escalated, morale plummeted and turnover exacerbated the situation. The bank was caught in a resourcing squeeze, unable to hire enough good people and train them while being unable to extract maximum performance from the existing workforce.
The Divisional General Manager brought in a traditional consulting firm to drive performance improvement. However their approach failed due to lack of engagement and over-emphasis on benchmarks and inflexible “best practices”.
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| OUR ROLE |
Our Workforce Improvement solution is focused on empowering line managers to drive the improvement with coaching and facilitation from our experienced consultants.
Our approach included the implementation of the following key objectives:
- Introduction of operations management capabilities, tools and techniques
- Introduction of consistent and meaningful operational performance measures
- Drive productivity and enable processing of increasing volumes
- Drive tangible results quickly and stabilise operations
- Improve staff engagement and reduce turnover
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| RESULT |
Our Workforce Improvement program delivered impressive results:
- 37% productivity improvement
- 10% reduction in FTE without reducing quality or service
- Achieved consistent delivery against service levels
- Significantly reduced rework
- Unit Cost reductions in the order of 20%
- Employee engagement survey results improved considerably
- Improved cross skilling, enabling sharing of resources across teams to meet demand fluctuations
- Productivity data is now used to support management decisions, eg rewards, staffing levels, career progression
- Processes can now be compared based on unit costs to determine which are the most efficient and effective and has since aligned processes across states.
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