**5. Conclusions**

This work presents a novel architecture for technology integration on process activities and systematically manages processes and their related data using formal knowledge. Knowledge models provide additional reasoning capabilities to support decision support systems for the wide optimization and industry 4.0 approaches. The architecture comprises and structures three critical systems: process system, knowledge system, and transactional system. As a result, analytical tools belonging to process activities and transactional data systems can be guided by a systematic development framework consolidated with formal knowledge models. Thus, the model improves the interaction among process life cycles, analytical models, transactional systems, and knowledge. A comprehensive intelligent managemen<sup>t</sup> architecture model can be seen as an ordered, adaptable, and configurable tool for integrating technologies and processes maturity. A critical aspect of this method regards formal knowledge models that become usable and reusable in technology integration and maturity. Finally, this method is a new alternative supporting companies when they need to decide "what to do" by explaining to them "why to do" and "how to do it", taking as starting point their processes and characteristics.

**Author Contributions:** Conceptualization, E.M. and E.C.-G.; methodology, E.M. and E.C.-G.; software, E.C.-G. and E.M.; validation, E.M., L.P. and E.C.-G.; formal analysis, E.M., E.C.-G. and E.M.M.; investigation, E.M., E.C.-G. and L.P.; data curation, E.C.-G.; writing-original draft preparation, E.M., E.C.-G. and L.P.; writing-review and editing, E.M. and L.P; visualization, E.C.-G. and E.M.M.; supervision, L.P.; project administration, E.M.; funding acquisition, L.P. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by Ministerio de Economia, Industria y Competitividad and the European Regional Development Fund, both with gran<sup>t</sup> numbers DPI2017-87435-R and PCIN-2015- 001/ELAC2014/ESE0034.

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** The data presented in this study are available on request from funding institution (see Funding).

**Acknowledgments:** The technical support in this work from Enterprise WISDOM Company is fully acknowledge.

**Conflicts of Interest:** The authors declare no conflict of interest.
