Transactional Data Quality Analysis

Business Needs

• Reconcile Product UOM in Supplier Invoices against Retailer Receiving
• Manage data quality lapse in multi-billion dollar payment processing with multiple suppliers with their own invoicing systems, and paper or manual invoices.

Key Features

• A unique Data Sciences based approach using K-Means Clustering around UOM Price Clusters at multiple hierarchy levels such as Retailer, Chain, Store level.
• Match multiple product Unit of Measure(UoMs) types to Product UoMs received at Retailer’s Stores

Benefits

• Innovation
  • Allowed iControl to better advertise its analytics and offerings around reconciliation
• Speed to Value
  • Low Cost end to end solution developed to dramatically increased the invoice matches in less than 3 months
• Reduced Total cost of Ownership
  • Zero additional resources to deploy & manage Elevondata Solution
  • Annual cost dramatically less than on premise infrastructure and existing platforms