Enterprise Resource Planning (ERP):
Shrewd business management begins with quality data
The premise of any ERP system is to improve every aspect of enterprise operations with effective resource planning. The promise of ERP can only be realized with high-quality data— business processes which ensure that all data fed into the system is clean, correct, standardized and reliable.
Reap incremental business value as better data drives operational and transactional efficiencies. Trillium Software data quality solutions help any ERP deliver on its promise to manage global spend efficiently across multiple suppliers and their subsidiaries.
- Enforce tighter inventory controls and appropriate stocking levels by product and location
- Increase cash flow by eliminating duplicate payments to suppliers and accurately computing charge-backs and rebates
- Deliver the right product to the right place at the right time for the right amount and improve order tracking
- Coordinate stock and shipments among multiple partners, customers and distributors for better customer service
- Implement dynamic pricing based on risks, demand, and volume discounts to compete more competitively
The flexibility of the Trillium Software System® enables easy integration of data quality processes into all major ERP platforms including Oracle and SAP and allows enterprises to assess, monitor and correct data in real-time, as data enters the organization from any source. The Trillium Software System provides the vital link between ERP implementation and operations success.
- Standardize enterprise data to ensure consistent, accurate data is maintained for all data domains: customer, product, financial, sales, and supplier
- Manage global data and distribution networks through built-in rule sets that automatically detect and apply the correct language protocols to each data item
- Correct, cleanse and match multiple instances of name, product and address data for standardization, regardless of field inconsistencies, misspellings or misplacements
- Coordinate data among multiple partners, distributors, vendors, departments, business units and more
