New release: Valuemation Analytics 4.4
The new version of the USU solution for IT analytics will be available from February 1. In addition to a new domain for Business Process Management, Valuemation Analytics 4.4 offers additional innovative visualization forms for reports and dashboards. With the new “Module Scheduler”, power users can configure data loading processes themselves.
With this new domain, processes that are executed with the Process Engine in Valuemation can be analyzed specifically using compressed key performance indicators (KPIs).
The “BPM KPI” cube is geared to the business user (end user) perspective and provides answers to questions such as:
- What processes were carried out within / outside the required time period?
- How long is the minimum / maximum / average process runtime?
- How long did process X take in total?
It is easy to calculate KPI values for specific periods and to group the results, e.g. according to process instances or process status.
The “BPM Process Instance” cube allows the more technically minded user (e.g. system supervisor) to monitor the Process Engine and provides answers to questions such as:
- What processes are still outstanding?
- How many and which processes were canceled / completed?
- How many processes ran successfully at the same time?
Here too, it is easy to narrow down the evaluation to specific periods or to group the results, e.g. according to status, process name or instance description.
Valuemation Analytics 4.4 offers a number of new visualization options:
The tree map diagram is used to visualize hierarchical structures which are shown as nested rectangles. Proportions are clearly depicted as the area of the rectangles is proportional to the size of the data unit to be shown. Color gradients are used to group the data in various categories. This helps when producing comparisons and differentiation groups.
The packed circles diagram is likewise used to show hierarchical structures. The structure is visualized with circles that are proportional to the size of the data unit to be shown and nested within each other. Color gradients are used to group the data in various categories. This helps when producing comparisons and differentiation groups.
The chord chart visualizes the interrelations between entities. It is ideal for highlighting similarities and relationships between various data groups. The nodes are arranged along a circle, and the relationships between points are shown using curves. The thickness of a curve is proportional to the strength of the relationship. Color is used to group the data in various categories. This helps when producing comparisons and differentiation groups.
The tag cloud is a graphical arrangement of terms which are shown in various sizes and/or colors depending on their weighting. The tag cloud became well known and popular when showing frequently used or popular keywords in blogs.
Up until now, only database/server administrators could set up planned tasks for loading data into Valuemation Analytics and for calculating KPIs. With the new "Scheduler” module, power users (e.g. application managers for Valuemation Analytics) are also able to set up these tasks themselves. This allows greater flexibility and convenience when using the analytics tool.
In an online presentation, you can find out about Valuemation Analytics with no obligation and get to know these and other functions in detail.
We look forward to hearing from you!