Analysis

These are three scenarios which are enabled by the i-doit Add-on Analysis.

Analysis of CI relations

The connection of several CIs to a service tree und its display in the CMDB explorer is a default function of i-doit which is used by many users to document their IT. The information of the relations is essential to identify vulnerabilities and potential risks.

By means of the i-doit Add-on Analysis, what-if queries (impact analysis) can be performed at anytime by pressing a button. The impact of a necessary change or an outage of a single Configuration Item on the depending IT services can be simulated without changing the current data.

With the possibility to add freely definable weights and consider them in the analysis the impact analysis in the change process is becoming more effective and meaningful. Cluster structures and the hierarchy of the elements of the service tree are considered automatically.

Check the CMDB data quality

Keeping track of the data quality of the CMDB is a task that affects many of our customers and users.

The i-doit Add-on Analysis relieves us of much control and reporting activity, which is often forgotten in the bustle of day-to-day operations. The quality of the data becomes apparent to the user every time i-doit is applied. The completeness rate of the active object types, categories and attributes is constantly monitored and graphically displayed. Thus, you always keep an eye on the task to actually feed information into the CMDB. Some belated information suppliers got motivated to contribute based on this check.

Cost control for IT services

Different cost types like acquisition cost or ongoing operating cost can be stored in the respective attributes in in-doit . The i-doit Add-on Analysis accumulates these costs on service level. Therefore, you can keep track of the license, maintenance and electricity costs, accumulated on service level, without complex reporting.

Recommended for custom CMDB data usage

Users who would like to make use of the data of the CMDB for their own purposes e.g. in Change Management, accounting or budgeting. Because of the high dependency of these processes on well maintained data the ongoing display of the data quality puts a clear visual sign.