A new model for data management

Regeneron isn’t the only company looking to derive more value from its data. Despite the massive amounts of data they collect and the capital they invest in data management solutions, business leaders are still not benefiting from their data. According to research by IDC, 83% of CEOs want their organizations to use more data, but they struggle with the cultural and technological changes required to implement an effective data strategy.

In response, many organizations, including Regeneron, are moving to a new form of data architecture as a modern approach to data management. In fact, by 2024, more than three-quarters of existing data lake users will invest in this type of hybrid “data lake house” architecture to enhance the value created from accumulated data. their own, according to Matt Aslett, research director at Ventana Research. .

“Data lakehouse” is a term for a modern, open data architecture that combines the performance and optimization of a data warehouse with the flexibility of a data lake. However, achieving the speed, performance, flexibility, optimization, and governance that this technology promises also requires adopting best practices that prioritize corporate goals and support enterprise-wide collaboration.

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This content is produced by Insights, the custom content arm of MIT Technology Review. It was not written by the editorial staff of the MIT Technology Review.

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