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Business intelligence and analytics are in need of change. Our solution? Rebuild with a new framework: Data as a Service.
Data as a Service isn’t a new term, but to this point, its definitions have been disparate. There are two common understandings of data as a service:
- DaaS means purchasing relevant data sets (from a provider like LexisNexis) and disseminating that data into insights.
- DaaS revolves around the storage and dissemination of data.
While these definitions describe data services, they don’t describe Data as a Service. In the same way that infrastructure and software as a service are scalable to everyone in an organization, DaaS is ubiquitous.
In this e-book, we redefine Data as a Service as a methodology and framework for overhauling the way businesses approach analytics. A DaaS solution grants access to data insights at every level of an organization, all while maintaining consistent metrics and comprehensive security.
Download the e-book to learn how DaaS solves for the last mile of analytics.
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