Ralph Ginzinger

Ralph Ginzinger is Head of Analytics and BI at Palfinger AG, leading an international team of BI, Data and Planning experts.

About

After successful completion of training in 2005, Ralph Ginzinger worked over six years for the European market leader in credit management. He began there in quality management and controlling. After a short time, he built up the then new area of Business Intelligence and designed it right from the start. The result was a comprehensive management information platform based on ‘QlikView’ as well as various applications from other areas and functions.

Ralph answered the call of independence and co-founded the consulting company HighCoordination Switzerland. In 10 years the company, merged with the German office to become HICO Group, grew to 90 employees in Europe, South Africa and Asia.

After relocating back to Salzburg in 2018 and starting a family soon after, a change in occupation was next when he resigned, with heavy hart, at HICO Group in July 2022 to become the Head of Analytics & BI at Palfinger.

IBCS® Certified Consultant

Ralph Ginzinger has successfully completed the IBCS® certification for successful design of reports and presentations at the IBCS Institute in April 2012.

Work samples

Statement of income

The initial situation is a statement of income from the 2011 SBB Annual Report, which was supplemented with fictitious budget values and distribution over months. The aim was to supplement these statistics with a message and a meaningful visualization. Through the addition of a time period, it is possible to analyze the differences on the time axis. The example was set up in QlikView with our extension trueChart and is fully flexible/selectable.

  • Original statement of income

  • Now in waterfall charts with additional relative variances

  • Analysis of variances on the time axis

Optimization of a revenue-cost analysis

The initial situation shows a typical analysis that should be optimized. The alternative visualizations, created in PowerPoint, illustrate how to visualize the data more transparently and that this could be supplemented with meaningful messages. They provide the viewer with a well-founded and clearer basis for decision making.

  • Original analysis

  • Now as a tree-chart

  • Now as a waterfall