Can you afford for your team to lose eight hours a day? According to the 2016 State of Data Center Architecture and Monitoring and Management report by ActualTech Media in partnership with my company, SolarWinds, that’s precisely what is happening to today’s IT administrators when they try to identify the root cause of a virtualization performance problem. And that doesn’t even take into account the time required to remediate it.

Are you trying to make the business case to your management that it’s time to upgrade to NetBackup 8?

Recognized by Gartner as  a “Leader” in its Magic Quadrant for Data Center Backup and Recovery Software and loved by customers, the NetBackup Platform routinely delivers near 100% backup and recovery success rates across enterprise workloads.

In some ways, data has become just as much a colleague to federal IT managers as the person sitting next to them. Sure, data can’t pick up a burrito for you at lunchtime, but it’s still extraordinarily important to agency operations. Data keeps things going so that everyone in the agency can do their jobs – just like your fellow IT professionals.

Net-centric and data-centric warfare is transforming how warfighters conduct operations. Data from satellite feeds, remote sensors, ship manifests, etc. depend on secure and quality data to inform intelligence-based decision-making.

In some ways, data has become just as much a colleague to federal IT managers as the person sitting next to them. Sure, data can’t pick up a burrito for you at lunchtime, but it’s still extraordinarily important to agency operations. Data keeps things going so that everyone in the agency can do their jobs – just like your fellow IT professionals.

Cloud computing has made collecting, storing, and processing data easier and cheaper than ever. Agencies are increasingly leveraging big data to drive actionable insights and improve cyber threat detection. Furthermore, more than 60% of agencies are using big data to reduce costs and operating expenses, writes Information Week.

We all know that sifting through data is an overwhelming challenge for federal agencies. Various data types, stored across a range of disparate siloes, and a lack of resources to analyze the sheer amount of data, has long held up data analytics in government.