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Basically the Analytics Builder is a powerful tool to create SQL queries in a simple and fast way by using a graphical interface. Just use drag & drop objects to create a story and integrate different data sources (e.g. IT infrastructure data, master data, business data, etc...).
Typical Use Cases?
Considering the possibilities and flexibility of this function, a variety of possible applications are possible. In the following section, three examples are described how to use the Analytics Builder.
Root Cause Analysis
Combine data sources to analyze an error more quickly. Use different data sources (e.g. Infrastructure, Application, Business, etc...) and create a holistic view of a situation.
Forward finding information to the responsible teams (e.g. business owner, support team, etc...) by using master data information.
If desired create an alert out of the finding so the next time the system can recognize the situation automatically. It is also possible to use the master data information in alerts to inform the responsible target group automatically (notifications to different receivers).
Business View
Combine IT data, master data and business data to analyze financial situations. By example to get an overview over time about the profit, cost or business lost. Drill down from overall view, into departments down to single instances (deep dive details).
A typical scenario is to analyze server downtime and calculate the business lost. In combination with master data information the priority and responsible contact person can be mapped into the context.
It is also possible to define alerts and inform the responsible teams automatically.
Trigger Action
Beside the features to visualize situations and triggering notification via emails the trigger script feature helps to integrate with other system (or trigger activities). Use the flexibility of the Analytics Builder to analyze data sources and forward desired attributes to the scripting interface.
Use the script to trigger 3rd party systems (e.g. via REST API).
One example is to analyze storage capacity (e.g. NFS Storage) and increase or decrease the storage automatically based on configured thresholds. This helps to optimize storage usage and reduces errors.
This is a simple example but imagine the possibilities by combining different data sources to create more complex trigger scenarios.
Of course it is possible to trigger several scripts in parallel and to send notifications via email.
Summary
Faster success since easy to use
Share specific content for different target groups
Flexibility to create complex analyzes and triggering actions
