Tredence
97 Case Studies
A Tredence Case Study
A Fortune 100 Technology Company was struggling with customer data split across multiple IT systems, with around 120K customer records and 300 product records duplicated across online platforms. This created siloed revenue operations, poor targeting, lost sales opportunities, and lower customer satisfaction. Tredence helped address the challenge using its AI/ML-based augmented data quality engine, Sancus, to unify and clean the data.
Tredence implemented a solution that brought together SAP and Salesforce data, standardized and deduped customer and product records, built product hierarchies, and used whitespace analysis to identify upsell and cross-sell opportunities. The team also delivered an interactive graph network visualization integrated with Tableau dashboards. As a result, the client improved customer satisfaction and achieved an 11% year-over-year sales increase.
Fortune 100 Technology Company