The client is a Global 500 chemical company that supplies corporate customers with specialty chemicals and emerging industrial technologies. The client has embraced Industry 4.0 and is seeking to extend its specialty additives business by providing intelligent real-time systems for agricultural customers. The new business is driven by a revenue-sharing model based on real-time data. The profitability of the business depends on the quality of the data, but the client didn’t know whether or not they could trust the data.
5 Sprints to complete a rapid Data Quality Audit
Real-Time feedback from implementing plan for test automation
100% Trust in a lean process designed to monitor and ensure data quality