User goals and features
The TrueSight IT Data Analytics product provides you the capabilities for addressing the following business goals:
|User goals||Description and references|
|Collect and index data|
You can collect various kinds of machine data generated by a variety of data sources, and subsequently perform in-depth analysis as a part of your troubleshooting, or understanding the data.
For more information about data collection, see the following topics:
You can automate your data collection process in the following ways:
|Search and investigate|
For more information, see Searching for data.
|Create data charts|
Create custom dashboards to represent data graphically, and monitor trends in your data to track irregularities or abnormalities.
Use dashboards to represent data such that you can correlate events or seemingly unrelated activities or discover data relationships.
For more information, see Creating and managing dashboards.
|Generate notifications and log events|
Save searches to monitor data for an extended period of time and locate real-time abnormalities or events and then send out alerts via email messages or logging events into supported external systems (via an integration or via scripts). You can also attach PDF reports with the related search results and the summarization chart.
Notifications can be sent in real time, depending on the conditions and thresholds specified.
For more information, see Setting up notifications to create alerts or reports.
|Integrate with other products and analyze context-aware data|
Integrate with external systems such as ProactiveNet and TrueSight Infrastructure Management to get event data and perform root cause analysis.
You can perform in-depth analysis on events by using the context from these systems, create notifications, and create custom dashboards to monitor these events. You can also log events into the external system for any abnormalities found.
For more information, see Integrating.
|Import and export content packs|
Content packs are a group of product components such as saved searches, data patterns, and collection profiles.
You can perform the following actions related to content packs:
Content packs are also useful for sharing in multiple-server environments or when you have multiple product instances.
For more information, see Creating and managing content packs.