Client: US based global Leader in Heart care
Industry: Medical Devices
Product/Service: Medical Devices focused on Heart care and Critical Care
Area of Operation: Worldwide
Number of Employees: Over 14,000
With an average outlay of $18 million during the past five years, a US-based global leader in heart care sought to better track and report its annual spending with health care professionals (HCP) to comply with the Transparency Reporting Act. The company wanted to build a solid foundation for managing HCP data, centralize its processes to enable common data standards, and improve the accuracy of its aggregated spend across HCPs. Its legacy system necessitated multiple touchpoints and manual processes, so the heart-care leader knew it needed a comprehensive application that could track the full lifecycle of HCPs. The company sprang into action to ensure its reports were accurate and kept the company in regulatory compliance.
Wipro designed a comprehensive, service-enabled Informatica MDM solution that addressed all HCP creation touchpoints, including the Concur expense-reporting platform, using a match and merge process. This new system also consolidated existing data with other systems to establish a single source of truth, reduced the amount of duplicate data, and provided a daily data-publishing interface that allowed integration with applications such as JDE, Coupa, and ECLM.
In addition, the consolidated system enabled the heart-care leader to minimize the number of HCP touchpoints, establish a common user interface, and institute a new governance process to create and update master data across regions.
The consolidated hub enabled the enterprise to obtain a single view of HCP data from eight sources, with attributes merged from each, and provide sales representatives a one-point interface to search between MDM and external data sources based on geography. This process reduced cycle times for HCP creation by more than 50%. Meanwhile, automated updates increased HCP data accuracy to nearly 99%, significantly reducing the risk of inaccurate reporting. Automation of the HCP approval process has also reduced data steward efforts by more than 40%.