Many companies are investing in Splunk® as a modern way to analyze machine-generated big data. Splunk provides a data analytics infrastructure that can load data from any source. Splunk is a versatile platform for data mining, and it provides a development platform to create reports and dashboards from raw data. In theory it is an excellent place to integrate all of your IT infrastructure and application data, but this is not without its challenges.
Splunk is optimized to parse and process unstructured log files and lets the user create any type of report. But since it does not contain built-in knowledge of your IT infrastructure, deriving deep insights in your data is largely up to the user. As a Splunk user, it is up to you to provide context and insights into your data. If you use Splunk to read infrastructure measurement data from your distributed infrastructure, or raw SMF and RMF data from your z/OS mainframe, it will not provide any interpretation out of the box.
This is where IntelliMagic Vision comes in: with its deep knowledge of storage, SAN, and mainframe infrastructures, it is designed to bring out both in-depth insights and relationships within your data. By turning raw data into rich information based on embedded expert knowledge, IntelliMagic Vision enriches your data which can then be sent to Splunk if so desired.
This way you can benefit from the enhanced data to create in-depth and meaningful insight within Splunk.