The variance of data management policies across organizations and industries is high, and is indicative of the absence of benchmarking and standardization across strategies. Many organizations lack a ...

Often, enterprise data management falls into two strategies: offensive and defensive. While defense entails mitigating risk, being offensive unlocks new opportunities. Organizations must incorporate ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’re in for a rough couple of quarters. Or maybe we’re not. This ...

In the complex and highly regulated financial services environment, the cost of poor data management is staggering, estimated to cost businesses billions annually in operational inefficiencies, ...

Oracle has a history of delivering the data management solu­tions of choice for managing customers’ operational and ana­lytical workloads on-prem and in the cloud. Oracle’s strategy is to continue ...

Competent management of business information is a challenge for organizations across industries, but banking and financial services organizations face heightened information governance challenges that ...

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In this podcast, we talk to Pure Storage EMEA field chief technology officer Patrick Smith about the issues of data management in an era where the upsurge of artificial intelligence (AI) has created ...

At CDMI Europe 2025, experts will discuss some of the newest technologies in data management and how these can be best ...

A solid customer master data management system should give you design and functionality freedom, whether for marketing, service, sales or support, or anything else. That way, you can cope with all ...