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Process-oriented organizations are compelled to be innovative and continuously implement changes to meet customer requirements and gain a competitive advantage in accordance with the business process management approach. In the digital age, organizations develop business process support systems using agile methods and introduce adaptation skills in order to support their core business. Seamlessly integrating both practices into a coherent and practically applicable solution supporting multi-scenario processes infallibly remains a challenge. The paper aims to discuss these issues.

The workshops identifying the key issues in an international capital group that consolidates facility management companies, as well as a related research review, have fueled a two-cycled Canonical Action Research (CAR) study.

The paper extends the current understanding of IT-enabled agility, proposing an adaptively improved infrastructure with a catalog of digital options that facilitates the composition of multi-scenario business processes.

The CAR was limited to the members of management board and the managers constituting the focus groups. The agile business process management (ABPM) model proposed focuses on adding novel functionalities/building new processes, leaving functionality lifecycle out-of-scope. ABPM empirical validation is limited to a single business/technical case.

Real-life solution for supporting dynamic business processes was delivered, as rigid IT solutions do not support quick assembly of customized business processes with abundant number of scenarios. The infrastructure enables composition of customer-tailored services based on re-usable digital options directory as well as enhances business process discrepancies/software bugs detection, reducing the cost of maintaining IT infrastructure for entire customer portfolio. A number of issues resulting from building IT solutions within a series of isolated projects with no coherent overall development strategy are mitigated.

The ABPM acts as a reference model for focusing on developing critical functionalities and limiting resources consumed by redundant features.

One of the leading factors that shape product and service delivery are data collected in databases and other repositories maintained by companies. The transformation of such data into knowledge and wisdom may constitute a new source of income. This paper aims to explore how small/medium-sized enterprises (SMEs) advance their business models (BMs) around data to handle data-driven products and how this contributes to their innovativeness and performance.

To investigate the phenomenon, the as-is BM of a multinational SME was mapped and its limitations were revealed through a qualitative study. The BM canvas was used. Then the data-driven approach was innovated within the facility management (FM) industry, where a high volume of operational and sensor-based data being collected creates added value in terms of new data-based products.

A data-driven business model (DDBM) blueprint for the FM industry that supports the need to complement service-driven operations with the data-driven approach is delivered. Enhanced BM equips a facility manager with additional managerial tools that enable decreasing property utilization costs and opens up new opportunities for generating revenue. This paper drafts the way to evolve from service to data-driven business and point out the attitudes that managers should adopt to promote and implement DDBM.

The DDBM constitutes a guideline that supports FM organizations in focusing their activities and resources on generating business value from data and monetizing data-driven products.

The research expands knowledge regarding BMs and their evolution. The gap regarding the DDBM innovation within the FM industry is filled.