A top 5 global pharma company was struggling with multiple (60+) separate instances of Customer Masters around the world. As a result they couldn't manage and leverage their customer data in an efficient manner.
A leading pharmaceutical company that has developed and brought to the market numerous new active substances, had their product data scattered across more than 20 systems. As a result they couldn’t harmonize their product hierarchies and categories across different lines of business and global regions.
A global specialty insurance company has served a wide range of customers including athletes, hospitals, software companies, law firms and engineering firms by underwriting a diverse book of insurance and reinsurance business for them. They were struggling to understand relationships among their customers, products, brokers, and transactions.
A top global media marketplace for licensed digital content, with more than 1.5 million customers across 150 countries, and 100K+ contributors, was struggling with siloed customer data across multiple fragmented systems. As a result they could not produce accurate sales reporting for their business users.
A leading personal computer and printer manufacturer had no single view of their B2B customers, resellers, and partners. As a result they missed on cross-sell and upsell business opportunities. They needed a data management platform that not only helps improve customer understanding but also provides a big data scale performance.
An S&P 500 global biopharmaceutical lacked the reliable data needed for efficient, agile new drug launches. They had unique data management challenges due to extreme growth with several new drugs pending approval, while also facing the risk of violating various spend compliance reporting requirements. They needed a modern approach to data management to manage customer information as well as meet regulatory requirements.
A leading provider of medical technologies wanted to become a premier partner for healthcare systems and providers enabled by improved customer understanding by bringing internal & external data sources into one platform. The company had a recent merger with a large manufacturer of medical devices and were struggling with siloed customer data in multiple, disparate sources.
A global diagnostic device & service provider had 50 distributors, each supplying sales data in different, inconsistent formats. It required 500 hours of manual data cleanup every month. They needed improved visibility into their customer base and better view into product and sales data across all their distributors.
A top used car retailer in the US had siloed islands of technology and data, and duplicate customer records due to legacy Mergers & Acquisitions. As a result they couldn’t deliver a buying process tailored to each customer. They needed to provide a seamless customer experience across all their physical and online stores.