*
Machine-generated data analytics (e.g., Remote device insight, location-based intelligence).
By monitoring and analyzing everything from customer clickstreams and transactions to security events and network activity, Splunk Enterprise helps you gain valuable Operational Intelligence from your
machine-generated data. And with a full range of powerful search, visualization and pre-packaged content for use-cases, any user can quickly discover and share insights.
Splunk officials said the addition of Cloudmeter will enhance the ability of Splunk customers to analyze machine data directly from their networks and correlate it with other
machine-generated data to gain insights across Splunk's core use cases in application and infrastructure management, IT operations, security and business analytics.
As a result of the takeover, Splunk will be able to offer its clients an enhanced solution to analyse machine data directly from the networks and correlate it with other
machine-generated data to generate insights across the company's core use cases in application and infrastructure management, IT operations, security and business analytics, the buyer said.
Ventana's research shows that a majority of companies that are using Hadoop are using it mainly to collect and analyse huge volumes of unstructured and
machine-generated data such as log and event data, search engine data, and text and multimedia data from social media sites.
* Predictive Asset Management: will improve performance and uptime of assets by leveraging
machine-generated data.
Organizations using Splunk software to gain operational insights into their
machine-generated data have experienced reduced website downtime, faster resolution of IT issues, identification of system abuse, and access to real-time and historical trends.