CIO Best Practices: Intelligent Automation and Improving Service Through Optimization

By October 25, 2022 Automation

Part of a blog series covering the top 5 CIO best practices

Intelligent Automation Data Protection

In a recent blog post, we talked about rapid provisioning, one of the best practices CIOs use to ensure their enterprise’s data stays secure in the face of massive IT complexity and ever-changing business environments.

Today we’re going to talk about two more: intelligent automation and improving service through optimization.

Intelligent automation is the act of using AI-powered software and automation technologies to handle repetitive tasks in your business. Almost every industry uses intelligent automation, and KPMG expects spending to increase almost 19-fold by 2025 ... to $232 billion. That’s because of its power to streamline workflows, free up resources, and make the business run more efficiently.

Cobalt Iron Compass puts intelligent automation to work in data protection, using intelligent analytics to perform automatic updates and to apply deep expertise consistently across the entire landscape. It is especially critical when the IT staff has limited expertise to manage an ever more complex and expanding data environment.

With intelligent automation from Compass, you’re well on your way to not just improving but transforming your data protection processes so you can meet strategic and business goals. Among intelligent automation’s many benefits: the ability to optimize critical business areas, such as resource and talent utilization.

Which brings us to the next best practice — optimizing to improve service levels.

Today’s businesses are under constant pressure to improve service levels while cutting costs. But counterintuitively, they often end up throwing more money at the problem in the form of more infrastructure, which breeds more complexity and can actually cause more problems if not properly managed.

Compass automatically optimizes backup infrastructure (including on-premises, cloud, and SaaS resources) and operations (e.g., backups, replications, recoveries, migrations, data life cycle management, etc.) to achieve maximum efficiency in every area.

For example, unlike the common approach of giving all types of data the same level of protection regardless of where it lives (sales, finance, service, etc.), Compass uses analytics and automation to categorize and manage the different types of data accordingly. Compass also automatically provisions appropriately, ensuring data protection is being applied wherever it is needed rather than overprovisioning across the business. These actions ultimately improve data service levels at significant cost savings.

For more on these and other best practices in data protection, see our white paper “5 Best Practices CIOs Are Using to Modernize Enterprise Data Protection.”

We’ll be back with more on this topic in a future blog.



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