Data security is a top priority for organizations and there are a plethora of tactical details that DevOps and security experts need to worry about. But, what should CIOs, architects, and business leaders focus on at a strategic level?
Discover cloud-native data integration with MarkLogic Data Hub Central, allowing agile teams to work together to load multi-model data, build an entity model, map and master data, and explore it – all in a single UI.
How do you avoid losing customers at the point of claim? Are you effectively leveraging AI, automation and data analytics? Is the Lemonade-model really the holy grail? Get the answers from our panel of experts.
MarkLogic was joined by Zurich Insurance UK and Liverpool Victoria on an interactive panel hosted by InsurancePost to discuss how to deliver positive customer outcomes by unlocking the full potential of your underwriting data
How can underwriters deliver on both better precision and efficiency? Leading insurers have found the answer with a MarkLogic Data Hub that allows them to surface, match, and use data more effectively.
For insurance companies to access and operationalize all business data to help reduce the cost and increase the performance of claims processing, the MarkLogic Data Hub for claims handling provides better reporting and improves business decision-making capabilities.
An insight into the key big data management challenges experienced by insurers and the opportunities for optimizing the integration and use of big data assets for improved customer insights leading to better customer experiences.
The following report presents insights from the findings of a global research study conducted by MarkLogic in partnership with Research in Insurance in 2019. The research identifies key big data management challenges experienced by insurance organizations, and explores opportunities to optimize the integration and use of big data assets for improved customer insights and business performance across the enterprise.
MarkLogic and Wipro explore a modern approach to the insurance industry's unique data challenges, and how a semantic data hub enables insurance organizations to improve business intelligence and build smarter applications.
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