Process Mining in building operation

Process Mining is a young, analytical discipline for recognizing, monitoring and improving real business processes (i.e. processes that have not been adopted). It extracts knowledge from event logs available in today's information systems (software used to support them). In general, process mining can be understood as a bridge between data and process science (see van der Aalst, W.: Process Mining: Data Science in Action, 2016, p. 16).


In the construction and real estate industry, complex and individual projects are generally handled. Such processes present great challenges for the applicability of process mining methods. The higher the degree of standardization of the processes, the better process mining techniques can be implemented.
Wherever process-related data is generated, process mining analyses are a good choice. Especially in building operations, there are defined processes that can be validated and optimized with the help of process data. However, since the application of process mining in this area has not yet been tested to any great extent, pilot use cases must be created using selected CAFM modules.

CAFM modules according to GEFMA 444

Basic catalogue

Space management

Maintenance Management

Inventory Management

Cleaning Management

Space and

Asset Reservation

Locking system management

Move Management

Letting Management

Energy Controlling

Safety and occupational safety

Environmental Management

Help and Service Desk

Budget management and

Cost monitoring

BIM data processing

Contract Management

workplace management

Process Mining 3
Process Mining 2
Process Mining Rahmen 1

Research objective:

Since the still young, data-based analysis method of Process Mining is hardly used in the construction and real estate industry, the following research objectives, among others, result:

  • Standard implementation of process mining analysis methods in the building sector

  • Acquisition of know-how regarding obstacles and solutions for data preparation and exchange

  • Generation of knowledge regarding actual processes in building operation

  • Detection of unwanted sub-processes and flat necks

  • Determination of best practice processes

  • Enabling error prediction before negative effects occur

  • Answers to questions such as the following:

    • Are target processes adhered to?

    • Are deadlines/deadlines met?

    • At which point do efficiency-enhancing measures have the greatest leverage effect?