Qlik Case Studies Radiometer relies on QlikView for data analysis
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Radiometer relies on QlikView for data analysis

Qlik
Analytics & Modeling - Real Time Analytics
Functional Applications - Enterprise Resource Planning Systems (ERP)
Healthcare & Hospitals
Life Sciences
Business Operation
Sales & Marketing
Predictive Maintenance
Real-Time Location System (RTLS)
Data Science Services
System Integration
Radiometer, a pioneer and international market leader for blood gas analyzers, was facing increasing cost pressures and needed to optimize its corporate efficiency. The company was using a complex Excel solution with numerous macros for data evaluation. This procedure was not only error-prone and complex, but it was also difficult to use. In addition, the data volume became too large for such a solution to reliably and quickly handle the evaluations. The company considered adopting an OLAP-based business intelligence solution that was already in use at the parent company in Denmark. However, it quickly became clear that this system also could not satisfy the requirements of Radiometer in Germany.
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Radiometer is a Denmark-based company that is a pioneer and international market leader in blood gas analyzers. The company's products are used in the treatment of critically ill patients to diagnose respiratory and metabolic disturbances based on blood gas analysis. Using the oxygen and carbon dioxide concentrations in the blood, appropriate therapies can be started immediately, such as mechanical ventilation, adaptation of ventilation parameters, or the administration of drugs. Despite its leadership in the marketplace and its superior quality, Radiometer was facing increasing cost pressures that hospitals, doctors, sleep laboratories, private clinics, and laboratories are faced with since the introduction of the DRG system.
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Radiometer deployed QlikView to ~ 30 users throughout Europe across 4 functional departments. With QlikView Server, Radiometer is now able to handle flexible analysis such as for up-to-date evaluations of profitability by customer, product, or location. The data for analyses of customer sales over time, plan/actual comparisons and period comparisons, and trend reports are evaluated in a way that is up-to-date for that same day. If we add the costs saved for a large data warehouse project, the great flexibility in the response to new demands and the minimal training requirements, the added value of the solution quickly takes on a whole new meaning.
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Overview of developments over time and current trends
Quick results in just one-fourth of the time
Flexible incorporation of other data sources
Reduced time for data analysis by 75%
Incorporation of new data sources in just a few days compared to several weeks with the previous system
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