Who needs Splunk

16 Mar 2017 01:47 PM By Nick Edwards

Today’s IT systems generate MASSIVE amounts of information.

Until recently an analysis of this information focused on the machines that generated the data and how they operated and not on what this machine data could tell us about business. 

Historically machine data has been an underused and undervalued asset of any company, but some highly important IT and business insights can be found hidden in this data.

Splunk is valuable because it leverages machine data in ways that traditional monitoring and analysis software is unable to do. Since machine data contains the definitive record of all activity and behaviours of your customers, transactions, applications, networks, servers and web traffic, gaining an understanding of this data can greatly increase end-to-end operational visibility; provide real time monitoring to enable proactive problem determination and risk analysis; identify trends and patterns to enable better informed business decisions; and allow for enhanced search and investigation techniques to find and fix problems.

So who needs Splunk?

Splunk is able to take any machine data at a massive scale and from wherever it’s generated regardless of format and adds it to a searchable index adding structure to unstructured data. Because Splunk’s software doesn’t rely on schemas or databases it can be rapidly deployed to create a very short time to value and it is easy to use and readily scalable. Users quickly find many possible use cases and ways of searching their data, and can define reports, visualisations and alerts to help make that data more meaningful.

In short, every organisation that places a high value on comprehensively understanding their business needs Splunk.

It’s really no longer a case of putting yourself at a competitive advantage. As more and more businesses adopt Splunk and begin to benefit from its many inherent benefits those that fail to do so risk putting themselves at a competitive disadvantage.

As Splunk likes to ask: “Machines are talking, are you listening?”