Case Study - Retail
Case 4 - Office Furniture
Minimize Lead Times - Budgets / Rolling Forecast
Financial Service
key issue
  1. To improve performance management for business units across the group
  2. To handle the continuing increase in business units and their size
  3. To minimize the extensive work load in handling each version of the rolling forecast
  4. To facilitate the preparation of reports with different “views”
  5. To handle the increasing demand for higher quality and timeliness of budget / forecast reports

Facts at a Glance
  1. Global Employees: 8,000+
  2. Global Revenue: US$ 2b+
  3. Country: Asia Pacific
Needs and Challenges
  1. Automation of data collection so user groups can submit budget data directly into the system
  2. Allow for the quick configuration of performance management reports
  3. All versions of the budget and forecast data to be kept and auto managed by the system
Benefits
  1. Lead times for handling budget planning and rolling forecast data are greatly reduced to as low as a few hours
  2. Quality and reliability of performance management is greatly improved
  3. Comparison of actual, budget and forecast data across any budget version become very quick
  4. System can support further increases in business unit numbers and size