Splunk’s innovated ability to access and use machine data for targeted operational insights can help improve IT and enhance business operational efficiency. Its work to capitalize on big data was part of my last analysis, while my colleague Tony Cosentino looked at its focus on search and operational analytics. Splunk also was a recipient of the 2012 Ventana Research Technology Innovation Award for IT Performance for Splunk Enterprise.
Splunk Provides Operational Intelligence in the Cloud
Topics: Big Data, Splunk, Business Analytics, Business Intelligence, Cloud Computing, Machine data, Operational Intelligence, Information Applications (IA), Information Management (IM)
Splunk: Big Data Machine for Operational Intelligence
Splunk recently entered the financial markets as a publicly traded company (NASDAQ: SPLK) and also entered a new phase in its corporate growth. Splunk combines the power of search and discovery with analytics on data generated by IT systems, that they call machine data, and provide insight for a new generation of operational intelligence that helps everyone in IT including the CIO determine the efficiency of its systems that support business. The company has built a platform that can index data on a large scale (“big data”) for rapid analysis and search. They also through its analytics provide the ability to perform visual and data discovery which is critical to reduce the time to determining unknown issues in existing IT systems. This helps IT staff ascertain not just the performance but the efficiency of systems that operate on a 24-by-7 basis. Splunk’s software operates in real time, surpassing the traditional methods of applying business intelligence against a data warehouse – a practice that’s ineffective for use in IT, where time is not the CIO’s friend when it comes to understanding issues or opportunities for improvement. Splunk has grown rapidly, partly because it’s simple to download and try, and then to license for use in production. It has more than 3,300 licensed customers in 75 countries. The management team is led by CEO Godfrey Sullivan, who has experience and a track record at companies such as Hyperion.
Topics: Big Data, Social Media, Operational Performance Management (OPM), Splunk, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Technology, CIO, Cloud Computing, Governance, Risk & Compliance (GRC), Information Management, Information Technology, IT Analytics, Location Intelligence, Machine data, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Supply Chain Performance Management (SCPM), Strata+Hadoop