PRODUCT ANALYTICS

PRODUCT ANALYTICS

Product analytics reside in the heart of SLASCONE. There our out of the box analytics that are relevant for every software vendor. Beyond these, you can define custom analytical fields in order to collect additional data, specific to your application. SLASCONE’s product dashboard is not only a simple (aggregated) visualization of charts. You can zoom in from almost every chart to the underlying licenses or devices.

OUT OF THE BOX ANALYTICS

LICENSE ANALYTICS

License analytics give you a quick, aggregated overview of your licenses.

License Analytics

MASTER TEMPLATE ANALYSIS

This chart reveals the Master Templates and Licenses distribution.

FEATURE ANALYSIS

It gets more interesting when you zoom in from this chart to the license view where you can perform an on/off multi-feature analysis:

  • Show all licenses with Feature A (on) and Feature B (on)
  • Show all licenses without Feature A (off) and without Feature B (off)

LIMITATION ANALYSIS

The analysis provides the mean/average value for each limitation and a column chart visualizing its distribution.

DEVICES PER LICENSES ANALYSIS

The analysis provides the mean/average amount of devices per license and a column chart visualizing the value distribution. This helps you get an immediate idea about the size of your installations.

DEVICE (HEARTBEAT) ANALYTICS

Device analytics give you insights about activated devices.

Device Analytics

SOFTWARE RELEASE ANALYSIS

Quickly identifying old/not supported/problematic installations is a very powerful tool for product managers and help engineers. The chart gives you a summarized (major version, minor version or revision) overview, while you can zoom in to the respective devices. If one software release has a critical bug, you can easily identify the affected devices and pro-actively inform them.

CUSTOM ANALYTICS

Beyond the out of the box device analytics (software version, operating system), SLASCONE enables you to collect custom data using analytical fields or usage features.

ANALYTICAL FIELDS

Analytical fields should be used, when the last recorded value (not the history) is more important. Nevertheless, the value history is saved.

Let’s assume your product supports multiple databases and you want to know how many installations run SQL Server, Oracle or IBM . In this case you would create an analytical field Database System. This field can now be populated through analytical heartbeats.

USAGE FEATURES

Usage features should be used for time-based analysis e.g., how many times a feature was used last week/month/year etc. They can be populated through usage heartbeats.

Note that while (normal) heartbeats have licensing/activation implications, analytical and usage feature heartbeats do not affect the licensing/activation status at all. They just provide an easy way to collect data.

 

GLOBAL FILTERS

The product dashboard has two filters controlling every chart:

  • Customer Type: It is paramount to create meaningful customer types and map your customers to the right customer type. Otherwise you are not going to be able to get the best out of your analytical data. Typically, you will have many internal/test licenses that should not influence your analysis. By filtering out the customer type ‘internal’, you can remove this noise.
  • License Status (Active/Inactive): The default value of this filter is active, because normally only the active licenses are analysis-relevant. Nevertheless, you can choose to analyze all licenses.
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