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Business analytics in the food industry - data intelligence for process optimisation
Find out how process mining and the iVIEW.process mining add-on (for Qlik Sense & Power BI) can help you reveal intransparent processes in healthcare and master your high cost pressure and quality requirements.
Today, the healthcare sector is confronted with complex processes and high cost pressure with equally high quality requirements.
While the individual process steps are often clearly specified from a technical point of view, the real sequences of overall processes are usually non-transparent and part of the business is lived by employees to whom a process perspective is new at a high level of commitment. T
his makes it all the more important to have tools that can visualize and analyze the actual processes in their area of responsibility, and that can be used to make fact-based decisions about changes whose impact can be checked in a timely manner.
Process mining makes it possible to reconstruct what actually happened for all processes from the abundant digital data.The processes are placed in a common context, deviations from what is expected and allowed are identified, and the causes can be investigated.
With iVIEW .Process Mining, the process perspective becomes available in the context of proven BI-Tools as Power BI and Qlik Sense, eliminating the need for employees to learn new tools and keeping the effort required to connect to source systems low.
The consolidation of medical, administrative and business data from all hospital information systems and business management data makes actual process flows transparent, down to the individual case.
Analyses and reports can be created and customized individually, and existing reports can be extended to include the process perspective.
Common questions are:
Duration of stay
Compliance / conformity with rules
WithiVIEW.process mining, we now provide you with a function library to turn your existing business intelligence suite – Qlik Sense or Microsoft Power BI – into an intuitive tool for professional process analysis. In this way, you supplement your business-relevant key performance indicators with the process perspective and can thus optimally use the digital transformation to shape your competitive advantages.
Companies know their business processes - but usually rather theoretically. In fact, there is often a lack of full process transparency.
The reasons are manifold - work processes are perceived subjectively, steps are added unconsciously. And employees usually only know about sub-processes related to their work. In addition, processes change, for example due to new compliance requirements or changed customer needs. And finally, the intended process flow does not always fit, for example in the case of special, non-standard production requirements.
And this is exactly where process mining comes into play, the automated analysis of business processes based on digital traces in IT systems.
And this is exactly where process mining comes in, the automated analysis of business processes based on digital traces in IT systems.