Why You Need Improved Operational Intelligence for Big Data

Today, a big data solution offers hope for governments to unlock potential from all the data they collect, store and manage. Through better data management, governments can re-imagine their business processes. At a time when public sector resources and budgets are shrinking and citizens are demanding improved services, big data promises much needed relief for government agencies. Now is the time for agencies to capitalize on their data.

For years, government has been developing data lakes, or locations where they aggregate and store massive amounts of data they collect, all resting on the promise that someday the information will be valuable. That day is today. The technology now exists to quickly process and analyze data. Organizations can finally derive value from their data lakes as well as from their machine data, or data that is created without the intervention of humans, from transactions, APIs, call centers, sensors, and more.

Machine data is growing at an exponential rate, and requires organizations to take a new approach to manage all the information and extract value. In this industry perspective, we will provide an overview of how big data is reshaping government, the challenges agencies face in extracting value from this information, and ways to work around common big data roadblocks. We will also highlight how Splunk, an operational intelligence company for government, is helping government organizations leverage their data in new ways. Specifically, this report will:

  • Provide an overview of the current landscape for big data
  • Explain how Splunk can help agencies unlock new value from their information
  • Describe what machine data is and the role it plays for big data programs
  • Highlight an interview with William Von Alt, Sales Engineering Manager at Splunk
  • Show how big data can mitigate the risks of insider threats

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