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Successful Legacy Systems Modernization for the Insurance Industry
A data management perspective on modernizing these legacy systems, examining the business purposes, benefits, risks, and dependencies of three different approaches.
A data management perspective on modernizing these legacy systems, examining the business purposes, benefits, risks, and dependencies of three different approaches.
Whitepaper focusing on strategic drivers affecting Insurers, including customer centricity, analytics, regulation readiness & modernization. Create a vision for enterprise information management that ties these together & enables you to treat data as an asset.
Learn how financial institutions are leveraging a repeatable data governance framework that encompasses three key elements – people, processes, and technology – to move data across their organizations.
As insurers retire legacy applications and archive dormant data, they must also protect themselves against the risks and costs of data breaches. This white paper examines why legacy modernization projects pose a risk of data breaches and offers a way for insurers to mitigate the risk.
A data management perspective on modernizing these legacy systems, examining the business purposes, benefits, risks, and dependencies of three different approaches.