Using Postgres Pro AXE as an analytical data store allows you to implement various business scenarios, including, but not limited to, the following scenarios:
Finances and budgeting:
comparing actual and target indicators of income and expenses (by month and quarter, between different departments)
analyzing the profitability of products, services, and departments
controlling the budget and identifying deviations
Smart pricing and marketing:
dynamic pricing (analyzing the demand, competitor prices, and unsold stock)
evaluating performance of sales channels, regions, and managers
analyzing consumer behavior (preferred goods, purchase time and location)
customer segmentation for target marketing campaigns
Service desk:
identifying key issues and their causes
monitoring performance (quality and speed)
analyzing customer satisfaction
Security:
analyzing logs (identifying anomalies and patterns)
investigating incidents and searching for dependent events
Inventory and stock:
analyzing inventory turnover
demand forecasting and purchasing optimization
For more information about OLAP data processing scenarios, refer to Chapter 4.