How BANYAS – Automated Business Scenario Identifier can contribute to the existing Process Mining tools?

Short answer

  • Independence and objectiveness:

Process Mining scope can be widened through receiving the complete overview of business processes instead of waiting for the customer to identify what their pain points are

  • Significantly improved coverage:

Event log, received through BANYAS, covers MUCH more areas than are available in SAP, including the ones that SAP considers as temporary

  • Standardization of the log structure across all functions:

Universal structure for the BANYAS-generated event logs supplies process mining with the data, ready for analysis and visualization, which should spare very significant efforts of data preparation

Full answer

Before going into BANYAS contribution to other Process Mining tools, let’s summarize what Process Mining is about.

Process Mining is a relatively new technique for a deep analysis of specific business processes. The analysis is done, using so called change logs. The most difficult tasks of Process Mining are:

  1. getting consistent and comprehensive change logs
  2. interpreting / deciphering the change logs

Once these steps are done, Process Mining tools handle analysis in very nice and clear visualizations and analytics.

BANYAS , on the other hand, is an SAP Add-On, which traces all what is happening in SAP (and linked to it systems), and back-engineers business processes, that are happening in an on-line mode. In comparison to the described above Process Mining technique, BANYAS doesn’t require preliminary knowledge about existing processes. It will identify the complete scope of what is going on.

Process Mining starting point is asking the client, what processes should be analyzed.

BANYAS starting point is just plugging it in. Its algorithms will very soon display the captured processes. One of BANYAS outputs is a universal, self-built change log for all, what is happening.

The major benefits, that BANYAS brings to Process Mining tools are:

  1. Independence of customer process knowledge
  2. Significantly improved coverage
  3. Standardization of the log structure across all functions