“The insights that we were able to attain from Apromore oenabled us to make improvements that have led to better practices and higher levels of efficiency. It was great to get an accurate picture of what was actually happening rather than what we perceived was happening. As the information told us the exact process, we were able to make more informed decisions that assisted with both process improvements and allocation of resources.”
Andrew Barrow, Admissions Manager, Applications Manager, The University of Melbourne
The University of Melbourne is a public institution that makes distinctive contributions to society in research, teaching and engagement. Founded in 1853, it is Australia’s second oldest university. The University is consistently ranked among the leading universities in the world, with international rankings placing it as first university in Australia and among the top 50 in the world (THE 2019 – no. 32, QS 2018 – no. 41).
“Using Apromore has been instrumental to start on the right foot our journey towards adopting process mining in our organization. It allowed us to focus on value creation for our business and for the whole organization, to develop skills in the process mining discipline and meanwhile to contain costs and effort. Apromore’s functionality, coupled with that of other open-source software, is extremely comprehensive and enable us to perform in-depth and precise analyses. Furthermore, the adoption of Apromore allows us to retain control over the platform, which we can manage in-house, yet with the confidence of having a trusted partner as The University of Melbourne on our side, when in need. This, in turn, helps us reduce risks usually associated with the use of open-source solutions.”
Cinzia Facetti, Head of IT Department “Finance: Treasury and FX&MM” at Intesa Sanpaolo Banking Group
“Approaching a pilot project on process mining by using an open-source software like Apromore allowed us to start experimenting with various process mining techniques in a rapid and intuitive manner. The tool’s capabilities of creating effective visual analytics, starting from the discovery of a directly-follows graph from an event log, allowed us to gain, in a short timeframe, a clear and precise idea of how a complex process supported by different enterprise systems (as the one we analysed), is executed in reality. Using Apromore enabled us to identify the main critical points intuitively, in terms of both process flow and performance.”
Eugenia Di Cillo, IT Project Manager at Intesa Sanpaolo Banking Group
Intesa Sanpaolo, the leading Italian banking group, offers its services to 11.1 million customers in Italy through a nationwide network of approximately 4,000 branches and a market share no lower than 12% in most regions. The Group also has a selected retail banking presence in Central and Eastern Europe, the Middle East and North Africa, with approximately 1,200 branches and 7.8 million customers in 12 countries. Intesa Sanpaolo is also present in 29 countries in support of its corporate customers’ cross-border business (figures as of 31 December 2016).
“Apromore enabled us to analyze a range of business processes in an unbiased way, and to easily identify various types of process anomalies visually, including unforeseen rework and repetition, deviations from normative flows, performance issues and SLA violations.
This type of support helped us to focus on the analysis of the root causes of the identified problems, rather than relying on lengthy and complex technical activities to represent such problems. Ultimately, this enabled us to provide more effective and convincing project deliverables to our clients”.
Luca Flecchia, Head of Data-Driven Innovation Practice, P4I – Partners4Innovation
P4I – Partners4Innovation is the company within the Digital360 Group that offers advisory and coaching services in support of digital and entrepreneurial innovation in companies and public sector bodies.
“Nirdizati [Apromore’s predictive monitoring capability] plays a very important role in my solutions which are aimed to help companies in achieving process excellence. It means providing them the ability to be proactive and prevent issues in their ongoing processes.
Data which are used for historical and real-time analytics with a BI platform, are smoothly integrated with Nirdizati in order to create a predicted progress of a process, in an accurate manner. Among others, Nirdizati can predict the next step in a process, the expected completion date and delays with a ranked severity. Nirdizati improves significantly the ability to generate alerts just-in-time, to correct deviations that might occur in ongoing processes.
I’m fascinated with Nirdizati’s ability to constantly ‘learn’ and improve its deliverables. It opens new opportunities for solution providers and users.
It was a real pleasure to cooperate with the dedicated and supportive team!”
Dafna Levy, Process Analyst & QlikView/Qlik Sense Developer, NooL
NooL provides unique solutions for decision makers, based on their organization’s information systems. Additionally, NooL creates synergies among companies, professionals and academics, in order to promote and implement contemporary Process Intelligence methods & tools.