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Streamlining global procurement - Borealis implements Qlik Sense SaaS to boost efficiency at 18 locations worldwide
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Chemicals
Applicable Functions
- Procurement
Use Cases
- Predictive Replenishment
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Borealis, a global chemical company, was struggling with the efficient management of its procurement process due to the vast amount of data originating from different sources. The company used standard tools for business analysis, but these could only produce static and pre-defined reports. With data volumes growing and new data sources constantly coming on stream, Borealis found it difficult to obtain actionable insights from its analysis. It needed a new analytical platform that would support informed decision-making across the global procurement organization.
About The Customer
Borealis is a leading provider of advanced and circular polyolefin solutions and a European market leader in base chemicals, fertilizers, and the mechanical recycling of plastics. The company's polyethylene and polypropylene solutions have a wide range of uses affecting everyday lives. They support the energy wire and cable industry, provide many of the plastic fittings in cars, and are used in a wide range of white goods. With its head office in Vienna, Borealis employs 6,900 people and operates in more than 120 countries on five continents. The company has 18 procurement locations in eleven countries across Europe, North and South America, and Asia.
The Solution
Borealis implemented a cloud-based version of Qlik Sense in 2018 and has more recently migrated to Qlik Sense Enterprise SaaS, which is used by 100 people throughout its worldwide procurement locations. The Qlik Sense SaaS implementation process was easy as it eliminated the complexity of building internal architecture, setting up a server, or maintenance. The company has built some 20 Qlik apps and 80 dashboards, including the Interactive Spend Analysis app which takes spend information from more than 20 internal and external sources and combines it into an interactive app with nearly ten million lines of data. Qlik’s associative engine enables all procurement information to be brought together in one place and made fully transparent, while self-service functionality saves a lot of time by enabling users to drill down into the data themselves without assistance from analysts.
Operational Impact
Quantitative Benefit
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