Big Data Providers and their Portfolio – Overview
5.8 T-Systems – End-to-End Service Provider [1]-[7][9]
Company T-Systems International GmbH
Hahnstraße 43b | 60528 Frankfurt | www.t-systems.de | www.t-systems.com
With a footprint in more than 20 countries, 46,000 employees, and external revenue of 7.1 billion € (2015), T-Systems is one of the world’s leading ICT providers . T-Systems offers a range of integrated solutions for business customers, including the secure operation of legacy systems and classic ICT services, the transformation to cloud-based services (including tailored infrastructure, platforms and software) as well as new business models and innovation projects for the business fields of the future, such as data analytics, the Internet of Things, M2M and Industrial Internet.
T-Systems can provide all this thanks to its global reach in fixed-network and mobile
communications, its highly secure data centers, a comprehensive cloud ecosystem built around standardized platforms and global partnerships, and the ability to offer top levels of security.
Characteristics T-Systems is an End-to-End Service Provider with a complete value chain designing, implementing, running and continually optimizing the best custom-made Big Data architecture derived from multiple components and vendors. The provided technology stack covers all Big Data components and combines Infrastructure, Data Management, Data Access, Analytics, Visualization, Data Integration, and Governance & Security.
T-Systems is the leading provider of first-class telecommunication infrastructure for Big Data solutions. Even Information Provisioning, which is the prerequisite for data-driven business models, is a key component of T-Systems Big Data approach.
Due to its high competency in cloud computing, T-Systems has a focus on the provisioning and operation of innovative, cloud-based Big Data platforms and analytic solutions.
Customer needs
◼ Handling the large amount and various formats of data generated by machines, processes, and humans in real-time.
◼ The flexible implementation of integral Big Data solutions based on standardized modules.
◼ The new data world presents added security issues that put companies at greater risk.
Big Data
offerings T-Systems utilizes its best of breed Big Data partner network to improve each component in a Big Data environment. The best technologies are provided according to the customer individual demand. The partners are leading Big Data vendors like: Cloudera, Hortonworks, SAS, Dell, Microsoft and many others. Selected Big Data offerings are:
◼ Integrated Big Data solutions: Design, implementation, and operation of standardized Big Data solutions that cover the complete Big Data technology stack from network, infrastructure, platform up to analytics and visualization components.
◼ Platforms of the complete Hadoop Ecosystem:
◼ Dedicated Hadoop: Dedicated Big Data Hadoop platform in various package sizes and performance clusters.
◼ Dynamic Hadoop: Scalable Big Data platform in various package sizes and performance clusters.
◼ vCloud Hadoop: Flexible Big Data platform based on VMware.
◼ Azure: Big Data solutions based on the Microsoft Azure platform.
◼ HANA Platforms:
◼ Classic Services for SAP HANA: Dedicated HANA platform in various package sizes
◼ Dynamic Services for SAP HANA®: Scalable HANA platform in various package sizes.
◼ S/4HANA: Flexible cloud-based HANA platform.
◼ Smart Data Federation: Connection of HANA, Sybase IQ, Sybase ASE, and Hadoop to provide always the best platform according to the demand.
◼ Big Data Analytics: Various Big Data analytic and visualization components according to the individual customer demands. Operation of SAS Big Data Lab and SAS Visual Analytics on T-Systems’ Big Data platforms.
◼ Data Driven Business Models: T-Systems supports solutions for data-driven business models. Focus areas for data-driven business models are: geo-analytics, mobility analytics, mobile targeting, media analytics, and financial institutions.
Big Data The complete Big Data offering is designed to cover typical Big Data challenges:
◼ Velocity: The utilization of HANA based platforms and in-memory based analytic solutions allows the processing and analysis of data in a fraction of time (<ms).
◼ Variety: The utilization of Hadoop platforms allows the aggregation and management of unstructured data and data files with various formats.
◼ Volume: The utilization of Hadoop platforms allows the management of large data volumes. Databases with extremely large volumes (> 100 TB) are already managed. The management of mega platforms (> PB ) is possible.
Innovation T-Systems is well-known for fully integrated, first-class Big Data solutions. T-Systems offering differentiates to most competitors by:
◼ Providing and running a complete, but scalable and performant e2e Hadoop platform including all components of the Big Data ecosystem.
◼ T-Systems has established a production network to enable the efficient on-boarding and flexible up-/down-scaling of Dynamic Hadoop Resources and additional Big Data components according to the customer demand.
◼ Highest security features and reliable SLAs for the operation of Hadoop solutions.
◼ Telecommunication Network: T-Systems is the leading provider of first-class
telecommunication infrastructure to ensure the connection of various data sources with Big Data platforms.
◼ The T-Systems Big Data platforms and solutions are a prerequisite of innovative T-Systems offerings like Industry 4.0 and solutions for the digitization of business and society.
◼ E-Mobility: A SAP HANA based solution for the digital transformation of enterprises. Data flows via sensors into the SAP HANA systems in the T-Systems cloud and provides key information about the current environment. The solution allows condition monitoring in real-time.
◼ Un-Outsourcer: With its new Un-outsourcer offering, T-Systems provides customers a flexible and results-oriented contract model for SAP services. A contract can be terminated at short notice.
◼ Close cooperation with T-Labs (Deutsche Telekom R&D Group) ensures the design and development of innovative Big Data solutions.
Benefit ◼ Business Optimization: The design and development of individual, but highly standardized best-of-breed Big Data solutions allow the aggregation and analysis of complete business processes and new external data sources. The tapping of these new data sources is the foundation for generating new business insights and with that the optimization of business processes.
◼ Cutting costs: The highly standardized utilization of Big Data platforms and solutions allows the replacement or at least augmentation of existing data management solutions too significantly lower costs.
◼ New Business models: The tapping and refining of new data based on innovative Big Data platforms allow completely new insights and business models.
Prospects ◼ Big Analytics for Small Data (AppAgile): Utilization of Big Data technologies for small data volumes with the possibility to flexible scale-up regarding data volume, data variety, and velocity.
◼ Data Lake: Utilization and extension of Big Data platforms for tapping and managing new and large data sources to set-up data lakes as integral and company-wide data lake.
◼ M2M Analytics: Design and development of analytic solutions with the focus on analyzing machine data for predictive analytics (prediction models).
Countries and
customers Worldwide, footprint in more than 20 countries Future
markets
T-Systems grows and goes with its customers. If new customers extend their Big Data solution to other international subsidiaries or if customers are going to set-up Big Data solutions in other countries T-Systems is able to provide and operate the required resources and solutions.
An excerpt of T-Systems customers
5.9 ]init[ – Full-Service Provider for Internet and IT Projects [1]-[7]
Company ]init[
Köpenicker Straße 9 | 10997 Berlin | www.init.de
Contact: Cindy Fromm | Cindy.Fromm@init.de | +49 30 97006 187 Employees Worldwide: 350 | Germany: 300
Characteristics ]init[ AG for digital communications is one of Germany's leading full-service providers for internet and IT projects. The owner-run company employs over 350 people worldwide in the online communication, IT services and data centre sectors.
Since being founded in 1995, ]init[ has carried out projects for more than 500 organizations and brands from the public, business/industrial, financial and foundation/association sectors.
Our Big Data range is mainly aimed at the public sector, mobility sector and financial sector.
Customer
needs Although Big Data is already used in business to make processes more effective, make informed decisions and create new business models, applications are still limited in security-sensitive sectors such as the public sector and financial sector. This is where our experience of over 20 years as a service provider for the public sector and the financial sector comes in and we advise you about possible uses against the backdrop of increased security needs and stringent data protection requirements.
Big Data offerings
◼ Consultancy, conception and requirements management:
◼ Architectures for storing large quantities of data
◼ Technology
◼ Visualization
◼ Stream processing
◼ Big Data processing with methods of artificial intelligence, machine learning or predictive analytics
◼ Big Data and cloud infrastructure service platform
◼ Infrastructure as a service with high security focus and smart service integration
◼ Social media text extraction and sentiment analysis
Big Data Along with other project partners (DB Systel, DFKI (German Research Center for Artificial Intelligence), idalab, PS-Team), ]init[ is developing a Big Data analysis platform as part of the Smart Data for Mobility Project. This platform creates an ecosystem for multimodal smart mobility services based on a Big Data analysis platform for intelligent data management to optimize the workload, planning and forecasting for mobility service providers as well as to make prices more flexible and optimize service for travellers. Previous, mainly technical, obstacles for using Big and Smart Data technology in the mobility sector should be minimized.
In the first step, this platform focuses on the mobility sector. However, it can be used across all sectors. Large quantities of data in structured and unstructured forms from various sources and from various sectors as well as public administration are collected and input on this platform. Likewise, social media channels are used to acquire useful information by text extraction which can be used in combination with other data. Due to the heterogeneity of the data sources, the speed at which the data can change is also very varied. By linking and refining data and using developed analysis and prediction models, highly diverse smart services can be developed for each individual business case and implemented via standardized interfaces on the platform.
Innovation Our consultants and architects have a wide range of experience across the Big Data sector and can offer unique expertise in the latest methods of machine learning, predictive analytics and datability. Projects are carried out using expertise from the SMART Data project and the public administration's understanding of the situation.
Benefit Thanks to intelligent analysis of pre-existing data, companies are presented with new business potentials, forecasts and planning are improved and the use of resources is optimized. New services emerge from using, linking and refining structured and unstructured data as well as using social media sources and using the data obtained from this.
Governmental R&D promotion programmes
]init[ is working on the project »SD4M – Smart Data for Mobility« and is developing a service platform spanning industry sectors which integrates data from various mobility providers and social media data and makes this prepared data available to various users. The Big Data analysis platform provides the basis for intelligent data management and the foundations for
varied multimodal smart mobility services. This project is promoted by the Federal Ministry for Economic Affairs and Energy (BMWi) as part of the Smart Data Programme.
Countries and
customers ]init[ operates in Germany, India, Abu Dhabi and Brussels and carries out projects with, i.a., BMWi (Federal Ministry for Economic Affairs and Energy), BMVI (Federal Ministry of Transport and Digital Infrastructure), NATO, ARD Digital, DIN e.V. (German Institute for Standardization), Beuth Verlag, ECB, Deutsche Börse, Bertelsmann Foundation, GIZ (German Corporation for International Cooperation), Council of the European Union, European Commission.