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Synergy of Qlik Sense and Process Mining

Classical Business Intelligence (BI) projects, e.g. sales, purchasing or controlling cockpits, usually show business KPIs such as sales, purchasing volume or various cost types in their temporal development or structure.

Despite the possibility to analyze the data from different perspectives using filter or grouping combinations, there is often the need to make process data transparent and to answer process-oriented questions. Examples of such questions are:

  • How do processes run with respect to their sequence of activities?

  • What are average cycle times (end-to-end and from one specific process step to another)?

  • How many different process variants can be found in the log and how often do they occur?

  • Which execution variants are the fastest or the slowest?

  • Are there differences in the number of process variants or cycles e.g. for different document types or organizational units?

  • How often and where do critical or change events occur?

These points are just a few of the questions that usually arise and push most analysis tools to their limits. Most Process Mining tools do not offer the abundant BI capabilities, the maturity of known BI platforms, or the ability to tailor dashboards to specific needs, MEHRWERK ProcessMining - a Process Mining solution based on the Qlik Sense® platform - offers the advantage shown in the following picture:

Synergy effects of BI and process mining
Synergy effects of BI and process mining

Further advantages that mpmX offers:

  • Existing BI analysis can be seamlessly combined with mpmX

  • The data governance and access rights are managed centrally

  • The level of self-service can be set as desired (from developer to pure analyst every level is available)

  • Collaboration options, story mode, responsive design

  • Architecture as required: cloud, multi-cloud, on-premise

Find more information on the Qlik Associative Engine.