Process Mining: Big Data in action

Engineering is the ideal partner for introducing innovative methodologies and tools that greatly simplify and transform into success initiatives concerning Process Analysis and Optimization, Performance Improvement of Business Processes, and Audits of Compliance with company rules and legal or industry regulations.

Efficiency of Operational Processes, Optimization of Key Resources and Corporate Compliance are keywords in the business language of today.

The traditional approach to Process Optimization very often proves challenging, complex and with a component of uncertainty, due to the need for an operating model based on subjectivity and the need for one-to-one confrontations with business owners and, in some cases, with an intrinsic difficulty in measuring the benefits in terms of ROI and effectiveness.

Within complex Digital Transformation initiatives, it is possible to use methodologies and tools that are part of the so-called Process Mining domain for overcoming the limits of the traditional approach.

Born in an academic environment, in particular at the Eindhoven Polytechnic University in the Netherlands, originally as a practical development of Data Science disciplines, Process Mining quickly revealed itself as a strategic success factor for all Business Process Analysis, Diagnosis and Optimization initiatives.

Process Mining is based on structured processing – with the application of Machine Learning algorithms and technologies – of the huge amount of events that today's information systems record and track in the face of activities carried out by users, Process Automation systems (RPA) or by automatic systems and devices (IOT).

These are often hundreds of thousands of events that ultimately constitute an objective and complete representation of the physical reality of a phenomenon or process that one wishes to analyze.

By adopting particular algorithms for analyzing these data, Process Mining systems are able to reconstruct in real time the structure of the process that generated them, together with all the most significant performance parameters (times, costs, use of resources, etc.).

Procure-to-Pay (P2P), Order-to-Cash (O2C), Processes of Service (for example. the functioning of Call Centers), or of maintenance, production or logistics, are the first candidates for analysis by Process Mining, in order to analyze and understand the structure ("discovery"), optimize performance ("enhancement"), or check compliance with standards ("compliance"). Generally speaking, however, the scope of application is really very extensive and constantly growing.

Engineering's specialists have proven and certified expertise in analyzing and optimizing business processes, using best practices and the best Process Mining tools. From the union between this expertise and the many years of experience in implementing ERP systems to support the customer's main processes, Engineering is able to propose successful projects characterized by an extremely pragmatic approach.

In all the market sectors in which it operates, process analysis and optimization projects are carried out, with a focus on achieving sustainable ROIs and creating Process Mining systems that become indispensable tools for customers with a view to "continuous improvement".


MYINVENIO

Engineering is a partner of Myinvenio, one of the most interesting products on the Process Mining landscape, possessing unique characteristics compared with the competition that have been recognized by the main market analysts: "Sample Vendor 2015", "Cool Vendor 2016" and "Representative Vendor 2018" for Gartner, "Hot Vendor 2018" for Aragon Research, 2 "Digital Awards360 2018" recognitions for "Best Digital Transformation" and "B2B Project".

Thanks to MyInvenio, Engineering can quickly approach a Proof of Concept using historical and real customer data directly, demonstrating in a clear and pragmatic way how Process Mining can effectively meet their needs for optimization of business processes.

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