Whether Predictive Analytics, Data Mining or Geo-Analysis a key success factor for Big Data Analytics is the Database.

Big Data Analytics in the Cloud

Tools for Big Data Analytics and Visualization

  • Intelligent connection and analysis of huge amounts of data
  • Dedicated analytics tools for different requirements
  • In accordance with compliance requirements and German data protection guidelines
  • Easy to understand results via modern visualization tools
  • Consulting for implementation and application of Big Data Analytics
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Business Value Emerges through Data Enhancement

Whether it’s in the procurement, marketing or strategy department: If companies use big data correctly they obtain powerful insights which can be turned into future-proof decision and action alternatives. The implementation of a suitable ICT infrastructure with platforms for data storage, data integration and data management is only the first step. On this basis, Big Data Analytics enables intelligent filtration and connection of data, so that sustainable information is generated. Only then the real value of big data is realized.

The right analytics tool for every scenario

Even analyzing huge amounts of unstructured data is possible with Big Data Analytics. T-Systems offers a range of cloud-based tools – each fulfilling different requirements. They are as diverse as the possible application options of Big Data Analytics: Besides video, audio and web analyses, it also includes technologies for evaluating geospatial analytics, which are based on geographical and location information like GPS-data.

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Big Data and Data Protection – A Contradiction?

Whether predictive analytics, geospatial or video analysis: The quality of the collected data is essential for the quality of the analysis. This can be ensured via data mining, which is part of the Big Data Analytics offering by T-Systems. Here all existing data sources will be examined and relevant information will be bundled. In this way, you can find new links and trends in apparently worthless piles of data.

Anonymous and protected: Big Data Analytics subject to German requirements

Once the data basis is set up, a crucial next step is to implement existing compliance and data protection requirements. This needs to be taken seriously and plays an important role at the application of Big Data Analytics. Several techniques, e.g. data anonymization, as well as new approaches like Privacy by Design ensure that big data and data protection will not be mutually exclusive. ICT systems, envisaged for the processing of personal data, are developed in such a way that data protection requirements are considered as part of the systems design. Additionally, T-Systems operates high-security cloud data centers located in Germany and subject to strict German data protection requirements, thereby offering the highest possible protection for sensitive information.

Complex information, simply prepared

Furthermore, T-Systems offers many opportunities to visualize the results of analyses, including consolidation, aggregation and graphic representation of the information within various dashboards. These allow users to select and filter the published results by different criteria. Moreover, an advanced virtualization software offers interactive presentation possibilities. The user can target specific areas, retrieve data information and combine several data groups to gain new insights.

Everything from one source

Besides self-service Business Intelligence, where companies implement and deploy tools independently, T-Systems also offers various consulting services. Starting with a dedicated onboarding service, which includes workshops, assessments or Proof of Concepts (PoCs) in line with specific project and customer requirements. Furthermore, T-Systems provides support in using Big Data Analytics services, prepares the information and delivers ready-to-use reports – e.g. for companies, which do not employ their own data scientists. Through this end-to-end-service, T-Systems ensures that the customer receives relevant results and meaningful visualizations to unlock the full potential of big data – be it through providing decision and action options or through developing completely new data-driven business models (DDMB).

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