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Process Mining at Nelly.com – Visualisation and Optimization of the Product Return Process with MPM in Qlik Sense
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Why to join our webinar?
Nelly.com uses MEHRWERK ProcessMining (MPM) in Qlik Sense to analyze their customer order to return process. In this webinar with Nelly.com, we will go through findings and insights from working with Process Mining in a hands-on demo. We will also break down the solution and talk technically about what data is used and what prerequisites are needed to get started.
FOLLOW A REAL USE CASE
Experience process mining as an eCommerce "detective" in crucial processes - a) to increase customer lifetime value and b) to reduce costs incurred along the "customer order to return" process.
USE YOUR DATA MORE EFFECTIVELY
Learn how process mining is seamlessly integrated into your Qlik Sense environment and takes your analysis to a new level. Experience the added value that real process transparency offers you and why you save valuable time.
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Take the opportunity to get smart for free with a look at the Process Mining Tool
YOU DON'T KNOW PROCESS MINING YET?
DEFINITION
Process|Mining
[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.
WHY PROCESS MINING
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?
WHY QLIK-BASED PROCESS MINING
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 ...
AGILE
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!
CUSTOMER-CENTRIC
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!
TIME-SAVING
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
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.