Managing technology costs across a large retail environment is rarely simple.
As IT estates grow across stores, users, vendors, mobile environments, networks, cost centres and finance teams, traditional reporting processes can quickly become difficult to scale.
This was the challenge facing a leading enterprise retailer with more than 2,000 stores and 90,000 employees.
The organisation had mature financial reporting and vendor processes in place. But as its ICT environment became more complex, challenges started to emerge around reporting speed, mobile spend control, operational continuity and cost allocation.
The initial concern was mobile overspend. However, through OneView’s guided discovery process, broader opportunities were uncovered to strengthen IT cost governance across the environment.
Key challenges included manual invoice processing across multiple vendors, days or weeks required to generate reports, disconnected workflows, inconsistent cost allocation logic, limited real-time mobile controls, and key financial processes that depended heavily on one individual.
With OneView and 1Nebula Managed Services, the retailer was able to move from manual risk and reactive spend management to a more scalable model for technology expense governance.
Using OneView’s modular approach, the solution brought together IT Expense & Cost Allocation, Mobile Expense Management, Network Expense Management and a Governance Layer supported by 1Nebula Managed Services.
This helped the retailer automate invoice ingestion, improve ERP-ready chargeback workflows, monitor mobile usage in real time, improve network cost visibility and create stronger role-based access, alerting and workflow controls.
The result was not only cost recovery. It was a more scalable operating model for managing technology spend across a complex retail environment.
OneView’s methodology followed a simple process: discover the real problem, diagnose the operational blind spots, align the right modules, activate measurable improvements and evolve the governance model over time.