biGENIUS helped implement the company-wide data warehouse within just 9 months, integrating 7 in-house and 2 online sources, improving the level of standardization, expandability and maintainability.
Scout24 Switzerland AG is the leading network of online marketplaces for vehicles, real estate and classified ads.
New requirements defined by the Scout24 management together with their shareholders — Ringier and KKR to measure the performance of their online marketplaces prompted the development of a company-wide Business Intelligence (BI) solution, because their online systems and data solutions of the online marketplaces were not able to provide the required KPIs in a satisfactory quality and within the desired timeframe.
Scout24 was looking for a suitable partner with expertise in the design, implementation and maintenance of BI solutions to build their new solution.
The solution includes a historicized data warehouse created according to Scout24's BI and data warehousing best practices:
In October 2014, the basis for building the Scout24 data warehouse was completed and approved within just 3 weeks. The foundational BI concept was tailored to their needs in productive and structured workshops:
Basic BI concept
The first implementation unit — the integration of ImmoScout24, CRM and NET-Metrix was launched in November 2014. With the biGENIUS data warehouse generator and the pre-establishment of the basic BI concept, the release was made available to the Scout24 team in December 2014, and they were able to start evaluating and presenting their data with the newly built data warehouse by January 2015.
Roadmap
The creation of a long-term data store was a central objective in order to clean up and free up the source systems. A historicized data store fulfils these requirements and forms the basis for further stages of expansion of the data warehouse.
In addition, a high level of standardization, expandability and maintainability were required to enable Scout24 to develop the data warehouse independently and at low cost. The use of the biGENIUS data warehouse generator enabled these requirements to be met and also supported the iterative approach in the development of the data warehouse.
Client technologies:
Backend technologies:
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