Blue Yonder — in the leader quadrant of Experton's big data vendor benchmarks

IN Big Data Events & Awards — 29 October, 2014

The Experton Group AG congratulates Blue Yonder on its excellent outcome in the Big Data Vendor Benchmark Deutschland 2015 study. Blue Yonder reached the leader quadrant of the Big Data Analytics Software & Solutions category this year.

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The era of business decisions based on simple reports coming from filtered and pre-sorted data is coming to an end. What is important is not just mere figures and comparisons of KPIs, but also putting the KPIs into a statistically significant relationship with all the relevant information. Through a novel view of large structured, unstructured, and partially structured data, really new insights can be gained.

 The benchmarks of the Experton Group provide an independent view of the hardware, software and service landscape regarding important ICT trends in Germany. In addition to big data, Experton carries out these benchmarks for cloud computing (for a fifth year), for mobile enterprise, and for other topics.

 The market for big data solutions and services is continually growing. That can be seen in the growing number of providers. For this benchmark study, over 200 enterprises were identified between May and June of 2014, for which big data is a part of the enterprise product and service strategy or part of their enterprise communication. In the previous year, it was 138 enterprises. 121 providers were identified as relevant for the Big Data Vendor Benchmark 2015 study in Germany (for 2013: 68 companies have been regarded as relevant for the German market). The provider offerings of the enterprises highlight the specialization of products and services with regard to challenges connected with big data scenarios. The Experton Group carried out 212 evaluations across the various categories. All the more clear to be able to judge Blue Yonder's position. The fact that Blue Yonder not only competed in a field of competitors about twice the original size, but improved, is an impressive result.

 In a competitive field of 32 enterprises that offer products, solutions and services for the analysis of large data quantities, Blue Yonder made the leader Quadrant. In the prior year's study, it was shown that of the available analysis tools, the calculation results were still overwhelmingly distributed among the traditional user groups, mostly business management and controlling. The application scenarios often consist of diagrams with attractively represented and thoroughly intuitive key performance indicators and other results from today's typical business day. Nothing has changed in this. Explorative work only progresses slowly. Often, the Blue Yonder solutions available today need to be connected to separate media solutions such as enterprise wikis, which of course requires development effort. Linking big data and Industry 4.0 has also barely progressed. Calculation results and analysis results are hardly used to influence machines and facilities. Providers who rely on these rather traditional approaches and who have not yet realized the connection of big data with industry 4.0 and other related topics in their solutions remain far behind the leaders and thus also behind Blue Yonder.

 Blue Yonder offers one of the leading tools for predictive analytics and is very successful with its product offerings. Blue Yonder has a very good history of product development — also with regard to how new this topic is. The enterprise in Germany has an active customer base and a healthy partner landscape and has essentially helped shape the topic of big data with its predictive approach. Blue Yonder has considerably improved with regard to the prior year and has now reached the leader quadrant. Blue Yonder is also ahead in having learned early on of the importance of predictive analyses, to name one example. In this area, analysts even view the company as a pioneer. Creating value from Germany  also led to this strong result.

Dr. Jan Lück Dr. Jan Lück

ist Projektmanager bei Blue Yonder. Der promovierte Physiker ist Experte für Data Science und den Einsatz von Machine-Learning Algorithmen bei Händlern.