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Turning the Digital Switch with Process Mining

11 Feb, 20213:00pm CET1 Stunde
What began as a transformation became a digital switch thanks to COVID. No business trips, no conferences - everything is digital. The Digital Switch is driven by an already familiar raw material: data. Dan Sommer, Senior Director of Market Intelligence at Qlik, speaks of a paradigm shift in which the core driver is no longer the processes themselves, but the analytics capability integrated into the processes. Simply put, process analytics will reshape processes - not the other way around.

What exactly does this mean and how do business analytics and process mining help companies to establish the necessary active intelligence in processes?
How to successfully transform the “raw material” data into enterprise performance intelligence?

We provide answers and give you live insight into process mining.

11 Feb, 2021

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The digital transformation has been with companies for a couple of years now and confronts them with great challenges. What began as a transformation was mercilessly accelerated by the COVID pandemic. Dan Sommer, Senior Director of Market Intelligence at Qlik, speaks of a "digital switch" that was flipped by COVID and acutely challenges companies - because things would never be the same in the future. As a guest speaker in last year's online seminar, he offered the following conviction:

„Those organizations, that haven’t started their digitization journeys, their transformation journeys – they will not survive this crisis the longer this COVID situation goes on.“

The essential role that intelligent analyses - we call it Enterprise Performance Intelligence - play in successfully turning the digital switch in your own company will be the topic of our kick-off eSeminar at the start of 2021. To explore this topic in more depth, we invited Dan Sommer again to the eSeminar on February 11, 2021. Among other things, he and process mining expert Constantin Wehmschulte will talk about why process optimization is becoming increasingly important, why customer intelligence is taking on an ever more central role, how new, data-oriented business models are gaining relevance and why agility is a key survival factor for organizations.

Analytics embedded in the process will reshape the process. 

Learn more about the paradigm shift and Active Process Intelligence.

Data is the raw material, that drives the Digital Swift or at longer term the Digital Transformation.

Learn how business analytics and process mining help companies build the analytics capabilities they need.

Technology shifts enable analytics transformation

Learn more about Insight Delivery and Data Literates.

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See how automated analysis feels in an exciting live demo by our expert.

Register for the eSeminar now FREE of charge

Take the opportunity to get smart for free with a look at the Process Mining Tool




[ˈprəʊ.ses ˈmaɪ.nɪŋ], the; (Business Process Discovery)

Automated business process analysis - with all relevant key figures - based on digital traces in IT systems. Process knowledge contained in data, implicit and otherwise hidden is visualized and thus tangible and transportable.

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Achieve operational Excellence

Increase Efficiency despite Complexity

We live in a world of business processes that are supported digitally. These processes leave their mark on IT systems. People are connected through IT systems (e.g. SAP®, Microsoft Dynamics® etc.), whereas machines are linked by MES systems (Industry 4.0). Complexity is increasing. Flexibility must be maintained. Costs should be reduced. Process Mining gives you complete transparency:

  • What is happening daily within your processes?
  • Where do deviations, inefficiencies, compliance issues occur?
  • What potential improvement may result from this?


Process Mining with Qlik DNA

The philosophy of the market-leading BI platform Qlik® is that " data is the key to the success of your business". Renowned experts such as Prof. August-Wilhelm Scheer also know that the efficiency of the central core processes is a prerequisite for succeeding on the market. The logical consequence: Business Intelligence meets Process Mining.

There are often separate "standalone" BI and process mining solutions based on similar source data. However, there is an exciting development in the Qlik® universe that has arisen from the understanding that process performance indicators (PPIs) should not form their own analysis clusters in addition to classic indicator analyses. On the contrary: the special features of the modern "Agile BI" pioneer Qlik® are "inherited" by process mining analysis and offer a unique added value. A real win-win situation for Qlik® users. But also for Qlik® newcomers this presents Process Mining of a special kind.

In the webinar we will demonstrate the Process Mining solution with Qlik®-DNA ...

In contrast to dedicated process mining solutions, agile process mining takes place in convenient, flexible analytical applications. Expanding the data space is possible "on-the-fly".

We'll provide you with an insight into the agile world of analysis!


In contrast to traditional process mining solutions, self-service Process Mining is possible. Business analysts and professional users can independently create sophisticated data and process visualizations as well as customized analyzing applications.

We'll show you how easy it is to create individual apps!

80 % of expenditures regarding BI & Process Mining projects are related to data preparation.
In contrast to traditional process mining solutions, the processing of data does not take place in the source system - all thanks to integrated ETL & mining algorithms. Consequently, the processing performance is significantly higher.

We'll show you how highly performant and simple data preparation can be.

Data governance is one of the most important success factors for digital transformation and plays a decisive role in the success of data analysis and big data projects. Qlik-based process mining offers reliable data quality.

Learn how Qlik® ensures the highest standard of data quality across multiple data sources.

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Learn more now in the live eSeminar