As IT organizations attempt to modernize, they continue to look for ways to offer more of their capabilities as a service. Good examples of this are software as a service and infrastructure as a service. The problem is one of the missing elements in the service model is the crown jewel of IT: data. Data is the information lifeblood of most organizations and it needs to be delivered as a service.
In the past, data was used by production applications, backed up by traditional backup applications and maybe, just maybe, archived. Now production data is used for test/dev, analytics and reporting. All of these use cases, including data protection, need to operate on the most current copy of data possible.
Click here to watch our latest ChalkTalk video “Enterprise Data as a Service“. Actifio Senior Vice President and Co-Founder David Chang and I map through why organizations need to develop a data as a service strategy and how to actually set that service up. After deploying a data as a service strategy, users can spin up near real-time copies of production data and have it seamlessly connect those copies to the test/dev, analytics and reporting as well as, of course, the data protection and disaster recovery processes.