Many companies have outsourced processes, but are these processes really meeting the performance criteria that are in the contract? Without process mining, one has to believe the self-reports from the provider.
Oliver Wildenstein is an IT process manager at MLP. As in many other IT departments, he works together with external companies who perform supporting IT processes for his organization. With process mining he found a way to monitor these outsourcing providers.
Rather than having to believe the self-reports from the provider, process mining gives him a controlling mechanism for the outsourced process. Because such analyses are usually not foreseen in the initial outsourcing contract, companies often have to pay extra to get access to the data for their own process.
As a data scientist during a project at ING in Australia, John struggled with finding the right kind of visualization that he could show to the business user. He discovered that process mining was the perfect tool for the job.
Typical management reporting is not actionable, because it is heavily averaged and the granularity is limited by pre-determined categories. Nick shows based on two IT Service Management examples how process mining helps to find the actual problem areas.
Official statistics are made via processes. To produce statistics of good quality, and as cost-efficiently as possible, process improvement and process mining can be used. Johan shows concrete results from analyzing the labor force survey process.
Process mining provides clear benefits – both for auditors and for the auditees. Erik demonstrates this based on three case studies. For example, process mining can help to understand and audit processes that are different in different countries.
Frank shares their impressive journey of adopting process mining worldwide. In one of the projects, an IT service desk process could be improved such that after six months the team had reduced waiting time in aggregate by 72,000 hours.
Wil talks about how process mining fits in the wider data science spectrum and which research programs will be coming up at the new Data Science Center Eindhoven (DSC/e). At the DSC/e, process mining will be combined with other data science techniques such as data mining and statistics, the internet of things, but also look at human and social aspects.
A panel discussion about the state of process mining, and the process analytics market. Where are we in 2014, and what can we do to move the needle towards a wider adoption and use of process mining.
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