The set-up as a permanent platform service relieves the data analysts of additional organizational effort and is ultimately less expensive. As a consequence, the team can concentrate fully on its work. The opportunities for cyclic and acyclic analyses, which are possible thanks to internal resources that are available at all times, do not just make life easier for the team. With the new platform, it can also use new analytical methods, easily convert results with colleagues into concrete actions, and tap into further data sources with unstructured data.
An increase in the hit rate to 30 percent in sales – that is just one of the results achieved thanks to our data analytics. T-Systems makes these evaluations possible with a highperformance analytics platform.
Jutta Hobbelhagen, Head of Data Analytics, Haufe-Lexware GmbH & Co. KG, a Haufe Group company
With a terabyte (TB) volume that is almost in triple digits, the Haufe Group has a huge wealth of data. This data does not solely comprise conventional process-related and customer data from internal systems; it also consists of activities from various websites and much more. Real big data. As good as data is, insights on the basis of big data analyses are even better. Therefore, Haufe established a big data lab, the various opportunities of which are now being used within the Group for many issues. With the evaluations provided by the lab, the data analysts are answering central questions that drive the business owners: how will the usage behavior, interests for topics, or subscriber structure change over time? How can target groups be selected better? Which customers are likely to terminate the business relationship?
Haufe decided to switch to the high-performance T-Systems data center in Switzerland for the operation of its big data lab. There, T-Systems quickly established an installation of bare metal servers as a basis for the analyses. The computing power is provided securely and with high-availability as a managed service. The gateway servers and various open source systems – also Hadoop including the Hadoop Distributed Filesystem (HDFS) – that are also managed by T-Systems run on the infrastructure. The data analysts use SAS Viya as their analytics software. The Haufe specialists are responsible for the use of SAS Viya and data management.
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