Cost, risk, complexity: how to combat the trifecta of data center challenges

 

Software Defined Data CenterThe sheer amount of data companies deal with is overwhelming. There’s data that’s actively used for business intelligence insights, data needed for compliance and dark data, like older files and information that should probably be eliminated.

As data increases and the ways companies use it become more complex, data centers face an increasing number of challenges. It’s impossible to detail every single challenge here, of course, as they vary by company, data type and other factors. We can, however, break them down into three main categories: cost, risk and complexity.

Just think about some common issues IT deals with every day. If capacity is running low, the traditional solution is to add more disks. This adds cost, obviously, and complexity to the system. If you have a new compliance initiative, you likely need to implement an archive, DMS and RMS. This is expensive, adds complexity to your system and still puts you at risk for non-compliance. If you need to retrieve some historical data, you search multiple data stores and archives and recover it. This is a complex process that takes up system and employee time – adding cost.

These are just a few of the many situations facing IT departments today. How can you can get a handle on them and win the battle against cost, risk and complexity?

One way we’ve seen that’s been successful for clients is HPE’s converged storage strategy. Many of our clients use active information management from HPE to deal with all the data types they’re managing. By converging primary, backup, performance archives and low-cost archives, HPE solutions help teams reduce complexity, risk and cost.

This happens in a number of interesting ways that are worth looking at on our HPE partner page, but let’s look at one particular instance that completes a task all enterprises struggle with: classifying data and dealing with what to keep for how long. The amount of data generated, and the increasing regulations with which companies need to comply, means that misclassifying data can have lasting effects. Never mind that storing data is expensive, so shifting from performance archive to low-cost archive to deleting in an efficient manner can really cut costs.

Classifying data manually is, of course, untenable. This is where HPE can really make a difference. As part of a larger converged solution, HPE and KeyInfo can help efficiently and accurately classify your data, letting you shift and dispose of it at the best possible times, decreasingly the complexity, risk and, finally, cost of managing your data.

Need help dealing with complexity, risk and excess costs? Let’s talk about your data center challenges.

 

Lief MorinLief Morin
Chief Executive Officer

Key Information Systems, Inc.