Retailing and Distribution
Cause and effect relationships
Metapraxis techniques identify the cause and effect relationships between the different factors driving performance across the product-geography matrix.
Bringing together data from across your management information systems confirms managers' intuitive understanding of the relationship between different metrics within the business. For example, combining information on profit, working capital and cash flow helps store managers recognise the size of the prize available through improvements in working capital management.
The approach also enables interactive analysis of trends and forecasts by senior managers at any appropriate level of the company hierarchy, without the need for specialist computer skills.
Retail specific questions that can be explored include:
Cause and effect relationships
Metapraxis techniques identify the cause and effect relationships between the different factors driving performance across the product-geography matrix.
Bringing together data from across your management information systems confirms managers' intuitive understanding of the relationship between different metrics within the business. For example, combining information on profit, working capital and cash flow helps store managers recognise the size of the prize available through improvements in working capital management.
The approach also enables interactive analysis of trends and forecasts by senior managers at any appropriate level of the company hierarchy, without the need for specialist computer skills.
Retail specific questions that can be explored include:
- What is the risk associated with our year end forecasts?
- How does footfall per square foot correlate with average basket size?
- What is the potential reward from tighter stock control?
- How does cashier productivity vary across different stores?
Client benefits
"I am using these techniques daily to get instant answers to my questions about yesterday's sales, margins and product availability.
Previously, this type of analysis took our finance team several hours to prepare each day."
FD, Leading UK Retailer