Insurance

Data lies at the heart of an ESG framework, yet it remains a major hurdle. For most organizations data is stored in numerous different silos, from mainframes, to mid-range servers, different data warehouses, and of course the cloud. Enterprises have difficulty bringing all of this data together in a coherent way – and if they cannot, risk their ESG (environmental, social and governance) initiatives failing. They need to be able to monitor, manage and enhance their sustainability plans, and that requires consistent, joined-up data.

Read this IDC Spotlight to understand how well-managed data – captured from numerous systems, business units, and geographies – is key in supporting broader ESG frameworks.

In order for financial services and insurance companies to embrace a data- and artificial intelligence (AI)-driven future, they must effectively integrate data from a growing array of sources. This necessity has evolved into a critical requirement for establishing a solid, secure, compliant, and robust data foundation. This foundation is pivotal in generating fresh insights, suggestions, and forecasts. By establishing this groundwork, companies can develop real-time customer profiles, manage credit risks, combat fraud and financial crimes, improve  data security, address cybersecurity concerns, expand their customer base, and enhance customer service.