The 5 pillars of cloud data management

As more and more businesses adopt cloud services, seizing on the latest software tools and development methodologies, the lines between them are blurring. What really distinguishes one business from the next is its data.

Much of the intrinsic value of a business resides in its data, but we’re not just talking about customer and product data, there’s also supply chain data, competitor data, and many other types of information that might fall under the big data umbrella. Beyond that there are a multitude of smaller pieces of data, from employee records to HVAC system logins, that are rarely considered, but are necessary for the smooth running of any organization. And don’t forget about source code. Your developers are using cloud-based repositories for version control of application code. It also needs to be protected.

In the past, companies would typically try to centralize their data and lock it safely away in an impenetrable vault, but hoarding data doesn’t allow you to extract value from it. Data gains business value when it’s transported from place to place as needed and available to be leveraged, not locked away in some dark place. People need swift, easy access to data and real-time analysis to make innovative leaps, achieve operational excellence and gain that all-important competitive edge.

Managing the mess

As the importance of data has grown clearer many businesses have been stockpiling as much of it as they can get their hands on with the idea that the value will come along later. Businesses grow organically, so new systems and software are adopted, mergers and acquisitions prompt integrations and migrations, and new devices and endpoints are added to networks all the time. Even the most organized of businesses inevitably ends up with a complex structure and data that’s distributed globally.

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