Big Data Providers and their Portfolio – Overview
2 – SAP HANA PLATFORM
Nothing signifies the changes we are making at SAP – and for our customers – more than SAP HANA. The platform holds the power to simplify both the user experience and the overall IT landscape, creating a smaller data footprint, increased system throughput, and easier data processing and operation. For this reason, we have evolved SAP HANA from a database to a full business platform that will act as the basis for our products going forward.
The SAP HANA platform combines database, data processing, and application platform capabilities in-memory. By providing advanced capabilities – such as predictive text analytics, spatial processing, and data virtualization – on the same architecture, it further simplifies application development and processing across Big Data sources and structures.
Market-leading platform for real-time computing:
◼ Open platform
◼ Basis for major SAP applications, will become underlying technology for all SAP applications
◼ SAP HANA Cloud Platform enables customers to extend existing cloud applications or quickly develop entirely new ones
◼ SAP HANA Enterprise Cloud: access to the full potential of SAP HANA via managed cloud Customers and Partners:
◼ 3,200 startups developing on HANA platform
◼ Around. 1,340 SAP HANA One customers
◼ 7,000 SAP S/4HANA trained partners persons
◼ 990 authorized SAP S/4HANA resellers 3 – BUSINESS NETWORK
The cloud has profoundly changed the way people interact, and this impact will only grow as enterprises connect and collaborate in new ways with their global networks of customers and partners. We believe there new networks are transforming how companies do business, and we are helping to lead this wave of innovation.
SAP’s Business Network companies provide the leading solutions in the areas of
◼ Goods and services: Ariba has a trade volume of more than US$ 800 billion p.a., connecting 2.1 million businesses
◼ Travel and expense: Concur is being used by 40 million travelers
◼ Contingent labor: Fieldglass manages 2.1 million temporary workers p.a.
Big Data The SAP HANA platform combines database, data processing, and application platform capabilities in-memory. By providing advanced capabilities – such as predictive text analytics, spatial processing, and data virtualization – on the same architecture, it further simplifies application development and processing across Big Data sources and structures.
Through the capabilities of SAP HANA, we can now enable real-time enterprise; we can leverage Big Data to achieve deeper insight; and we can empower users through the ease of mobile apps, so that people can access what they need securely and flexibly.
Innovation To take over capabilities to the next level, we built open SAP HANA Cloud Platform, which is the embodiment of our SAP Cloud powered by SAP HANA strategy. The cloud platform enables ease and flexibility in building, extending, and integrating business applications – available to all SAP Partners, customers, and third-party developers – available to all SAP partners, customers, and third-party developers.
Realizing that one size does not fit all, we are providing a bridge for our customers in the transition to the cloud. We also offer to manage mission-critical software such as SAP Business Suite and SAP Business Warehouse as well as custom SAP HANA applications in our cloud data centers.
Our overarching goal is to create the broadest integration offering in the industry where customers can connect SAP and third-party software across heterogeneous environments by leveraging application lifecycle management to reduce IT complexity. Our customers can enhance the power of an integrated landscape with a refreshing user experience across multiple devices and interfaces, At the same time, all core applications can be built and run in the cloud or on premise, giving developers a powerful tool to build applications with flexibility and efficiency.
◼ 14 Development centers (SAP Labs) worldwide
◼ 100 Development locations worldwide
◼ 13 Co-Innovation and Living Labs worldwide
◼ 21 Research locations worldwide
◼ Innovation Center in Potsdam, Germany
◼ Partner network with >12,100 SAP partner companies around the world
◼ Sapphire Ventures: Invested in >130 IT startups and >30 venture capital funds globally since 1996
◼ US$ 1.4 bn capital under management
◼ Operates independently from SAP
◼ Provides SAP early visibility and access to markets, trends & innovation
◼ SAP Digital allows anyone to buy and use offerings from SAP and third-party suppliers with minimal human interaction.
Benefit We help customers Run Simple by innovating with SAP HANA platform as our foundation.
This strategy combines ease of use and flexibility with sizeable computing power. Through the capabilities of SAP HANA, we can now enable real-time enterprise; we can leverage Big Data to achieve deeper insight; and we can empower users through the ease of mobile apps, so that people can access what they need securely and flexibly.
As we aim to become »THE cloud company powered by SAP HANA«, we are going are beyond incremental change to achieve radical simplification – enabling our customers to stay ahead of trends, make better decisions faster, and propel innovation.
Countries and customers
When SAP customers Run Simple, it improves their ability ultimately to become best-run businesses that create more sustainable business models – which, in turn, help us ensure our own long-term viability. That is why we strive to provide more than just software and services; we continually engage with our customers at every stage – not only during the sales and implementation phases, but also through the sharing of best practices and innovations.
More than more than 310,000 customers in over 190 countries rely on SAP’s end-to-end solutions specific to 25 industries. SAP customers being in the middle of their digital transformation experience the possibilities generated by the usage of Big Data in different industries, e.g.: NCT (Healthcare), Munich City Utilities (Stadtwerke München) (Public Sector), Beiersdorf (Consumer Products), HSE24 (Retail), Mercedes-AMG (Automotive), Koehler Paper Group (Industrial Machinery & Components), Hamburg Port Authority (Transportation & Logistics), Sports:
◼ Deutscher Fußball-Bund (DFB): With SAP’s CRM solutions and SAP Event Ticketing, the association brings tailor-made campaigns to the pitch.
◼ FC Bayern Munich AG (FCB): Analyzing Big Data with the help of SAP HANA helps FC Bayern identify patterns in players' motions and take preventive action if such motions make players prone to injury.
◼ The TSG 1899 Hoffenheim soccer club uses advanced technology for its under-19 team to optimize training and gain a competitive advantage in developing professional players and talent.
5.12 The unbelievable Machine Company – Consulting and Implementation [1]-[6][9]
Company The unbelievable Machine Company
Grolmanstr. 140 | 10623 Berlin | www.unbelievable-machine.com info@unbelievable-machine.com
Employees Worldwide: Approximately 120 | Germany: 105
Characteristics ◼ Full-service provider for Big Data and cloud services for customers from all industries but primarily car manufacturing, other manufacturing, retail & banking
◼ Tailor-made solutions for every customer
◼ Broad knowledge in data science, data engineering and cloud services. We deliver projects
»from idea to cable« (consulting and technical realization)
◼ Vendor-independent consulting
◼ Methods: neural networks/deep learning, machine learning, advanced analytics, Hadoop, ELK, Cassandra, etc.
Customer needs
◼ Digital factory: machine/sensor data, condition monitoring/predictive maintenance, machine learning
◼ Predictive analytics such as customer behavior and fraud protection
◼ Global and organizational challenges (competition, cloud, technologies, data security, compliance, digital transformation, bimodal IT)
◼ Elevation of analytics from a reporting tool to a driver of business value
◼ Optimization of customer-retail relationships, identification of customer groups based on transaction data
◼ Monitoring of traffic, transactions and marketing-related KPIs in near time consolidation of (internal and external) data
◼ Leadership/Sponsorship within the corporation (business/IT departments)
◼ Data governance (consistency, importance)
◼ Development of skills Big Data
offerings
◼ Guidance and consulting to identify business cases and lighthouse projects
◼ Data pool creation and exploration, proof of concepts, mathematical modelling
◼ System/Software architecture, data engineering and software development »on scale«
◼ Cloud and infrastructure services for Big Data projects
◼ Tailor-made training programs and knowledge transfer
Big Data ◼ Volume: e.g. operation of several 50+ node Hadoop systems with several 10+ TB data
◼ Velocity: e.g. real time operational intelligence solutions based on Splunk/ELK or Kafka/
Storm architectures (Lambda)
◼ Variety & Analytics: e.g. projects in the area of image detection/recognition using deep neural nets as a service (running on managed GPU hardware in our own datacenters), natural language processing solutions on 100+GB document stores and/or social media data pools
◼ Analytics: 90% of our data science/engineering projects include unsupervised/supervised machine learning and/or deep neural nets
Innovation ◼ Quality leader: Acknowledged by Gartner as a Cool Vendor for »Big Data and Information Infrastructure« (2013) and by Experton Group as a Big Data Leader in »Big Data Operations«
and »Big Data Consulting« (2015, 2016)
◼ Consulting, guidance, technical integration and 24/7 service from a single source Benefit ◼ Higher conversation rates
◼ Reduced and optimized maintenance cycles
◼ Near time monitoring
◼ Cloud services made in Germany (»Grundschutz«, ISO, PCI DSS, etc.)
Prospects In Feb 2016 we launched our new service offering »Data Thinking«, a field in which we provide strategic consulting for C-level and decision makers. Data Thinking marks the shift from enablement to creatorship and leadership in the digital age.
Countries and customers
Germany, Austria, Switzerland (DACH)
e.g. Deutsche Post, Metro, Gebr. Heinemann, Porsche, Parship, Delivery Hero, Bawag P.S.K.
5.13 Microsoft Deutschland – Comprehensive Big Data Platform [1]-[6]
Company Microsoft Deutschland GmbH
Konrad-Zuse-Straße 1 | 85716 Unterschleißheim | Area Vice President International:
Sabine Bendiek | +49 89 31 76 0 | Partners: +49 1806 30 25 25* | Business customers:
+49 1806 67 23 30* | Consumers: +49 1806 67 2255* (*Additional fees may apply) Employees Worldwide: 130,000 | Germany: 2,700
Characteristics ◼ Providing software and services to make every person on the planet more productive to achieve more.
◼ Microsoft’s offers the most comprehensive big data platform to help customers realize the value of their data dividend by combining diverse data streams, using new data analytics tools, delivering data insights to more people within the organization, and improving the speed of data processing and timeliness of access to data. With unmatched breadth across the enterprise-from IT to the office worker. Microsoft has the right solutions to make big data actionable for anybody and deliver the broadest benefits across an organization with data insights.
Customer
needs Companies today are facing an increasing diversity of data within their own businesses. This is being driven by business applications; unstructured social data; connected sensors and devices (»Internet of Things«) and much more. The modern enterprise needs a logical architecture that can smoothly scale to meet these volume demands with real-time processing power and the ability to manage any data type to rapidly connect the business to valuable insights. This means that the traditional data warehouse needs to evolve into a modern data warehouse. An increasing share of the new data is »cloud-born«, such as clickstreams; videos, social feeds, GPS, and market, weather, and traffic information. In addition, the prominent trend of moving core business applications like messaging, CRM, and ERP to cloud-based platforms is also growing the amount of cloud-born relational business data. Cloud-born data is changing business and IT strategies about where data should be accessed, analyzed, used, and stored. A modern data warehouse delivers a comprehensive logical data and analytics platform with a complete suite of fully supported, solutions and technologies that can meet the needs of even the most sophisticated and demanding modern enterprise – on-premises, in the cloud, or within any hybrid scenario.
Big Data offerings
◼ The Microsoft Modern Data Warehouse is designed to scale to the most demanding enterprise requirements with performance at linear scale meeting any requirement.
◼ PolyBase, a feature of SQL Server DW and SQL Server 2016, allows to query Hadoop and DW together within the familiar SQL syntax.
◼ The new Azure Data Lake enriches the Hadoop ecosystem, by allowing customers to run all of their analysis on Exabyte’s of data, without any limits.
◼ Microsoft provides a suite of big data and advanced analytics solutions like Azure HDInsight, Azure Data Factory, Microsoft R Enterprise and Azure Machine Learning, Cortana Intelligence and Cognitive Services.
◼ Microsoft provides solution templates for Log file analysis, Fraud detection, Social Media and Sentiment Analysis, Risk Modeling and Management, Energy efficiency, Politics, and Security.
Big Data Many industries have vast amounts of data but much of it remains unexploited today. Those data stores are only bound to increase further as our world becomes more hyper connected across devices, people and processes. The industry must respond to these changes given growing competitive pressures and thinning profit margins. Among key trends that are informing strategies around big data use within many industries:
◼ Power shift to consumers: Social communities are driving preferences and defining products, generating interest from business leaders at companies to use this intelligence to build better customer engagement models and improve quality of customer experience (QoE).
◼ Operational insight and discover of new revenue streams: With growing competitive pressures, companies are looking to control costs by weeding out operational inefficiencies.
But controlling costs alone isn’t enough. Analytics applied to customer data is helping these industries identify new business opportunities and deliver more tailored, personalized offers and dynamic pricing models to customers.
◼ Telco Network and Media online performance improvements: For telcos, insights gleaned from data around network performance – load and roaming usage patterns, performance of new applications and devices on its networks, etc – can deliver valuable intelligence to its customer care, marketing and engineering teams. Similarly, for media content companies, big data analysis is becoming a must-do in order to create optimal online experiences and content packages that can ensure visitor »stickiness«.
Innovation ◼ Azure Data Lake provides a rich set of innovation. Batch, interactive, streaming, machine learning. Allows for exploratory analytics over your data. Do analytics with Hadoop and just pay-per-Query, provides an innovative new business model.
◼ Cognitive Services create several new abilities by providing easy to integrate like language understanding, Social sentiment, people identification, emotion recognition, linguistic analytics, Academic knowledge discovery, Image plus video search and many more.
◼ Azure Machine Learning provides a web base interface to build, test, and deploy predictive analytics models. This provides a library of algorithms and samples to get quickly started.
◼ Sample applications like ↗http://www.how-old.net/ and ↗https://www.mymoustache.
net/ provide a glimpse of what is possible today.
◼ In combination with augmented 3D reality like Hololens, very new applications are possible
↗https://www.microsoft.com/microsoft-hololens
Benefit Example – Monetization of data for new services: An emerging business opportunity in the telco space is the ability to monetize data for new services. For example, one way to do this is by contributing to location analytics in the retail industry, giving retailers the ability to look at mobile phone geographic data in the aggregate to help them determine where to build new stores. This is an area where we expect to see significant development in the near future.
Since telecommunications companies collect location data from mobile phones on such a massive scale, they can combine that with the demographics of phone users help people determine things like where in a particular town is there is a high concentrations of 25 to 34 year olds at 5:00 p.m. (good place to open a bar), how traffic gets from suburbs to downtown at different times of day, from what areas of the metropolitan area does traffic flow into the central business district at different times of day, and of course, it can help determine targeted coupons and advertising.
Prospects ◼ PowerBI data visualization leveraging Spark on Hadoop with Real-Time and integrated R-Language support.
◼ Power Apps to easily Develop and deploy mobile Apps cross all major devices in the market.
Governmental R&D promotion programmes
Microsoft provides a German Cloud offering with T-Systems operating the Datacenters in Frankfurt and Magdeburg under German Law and data security rules.
Specific programs for public sector customer may apply.
Countries and
customers Microsoft operates today worldwide and has currently 30 datacenters in operation.
Future markets
Extending the reach to Africa and South America is on the roadmap for the coming years.
Today Africa is sourced from Asia as well as Europe. In South America Microsoft operates a pair of datacenters in Brazil.
5.14 Mieschke Hofmann und Partner – from Strategy to Realization and Coaching [1]-[6]
Company Mieschke Hofmann und Partner
Gesellschaft für Management- und IT-Beratung mbH | Königsallee 49 | 71638 Ludwigsburg www.mhp.de | Contact: Alf Porzig | Head of Competence Center BIGDATA
alf.porzig@mhp.com | +49 151 20301626 Employees Worldwide: 1,500
Characteristics ◼ Symbiosis of management and IT consulting, process consulting.
◼ Comprehensive consulting portfolio across the entire value chain.
◼ Industry focus on automotive and manufacturing industry, transfer of strategic innovations to other industries.
◼ MHP offers a comprehensive Big Data approach covering all aspects from digitalization strategy, creating business models and use cases, proof of concepts, Big Data architecture up to realization and coaching.
Customer
needs MHP’s customers are facing all aspects of the digital transformation and data driven processes. Vehicles, customers, machines and services get connected and allow for new insights about the customer behavior and the product usage. Therefore the data itself and the data driven services (like e.g. predictive maintenance) become part of the product.
Big Data
offerings Based on the experience of numerous Big Data projects MHP has created »Data Driven Excellence«, a comprehensive process model for setting up a future Big Data and data driven process landscape. In the MHP BIGDATA Lab customers can perform proof of concepts and create a data driven Big Data architecture. With Big Data Analytics we support our customers in gaining new insights about customers, product usage and business or production processes.
Big Data In the connected world all kind of data and data formats must be processed at any time at any velocity and any volume. The user’s behavior (e.g. usage of apps) is changing continuously.
The Big Data landscape must e.g. be able to analyze any kind of usage or production data and connect it to the existing business processes. This includes all aspects of Big Data Analytics like data mining/pattern recognition, text mining, machine learning, complex event processing, strategic and tactical (real-time) analysis.
But Big Data also has deep impact on the companies’ organizational structures. Knowledge silos must be integrated, relevant skills and organizational structures must be developed. And cross-departmental Big Data processes must be created.
Innovation The data must fulfill two principle tasks. It must work in the operational processes as well as for the analytical aspects. »Data Driven Excellence«, MHP’s process model for setting up future Big Data landscapes, brings these two tasks in line with our customer’s business strategy.
The MHP BIGDATA Lab enables our customers to innovate with new technologies, to learn from the data and to generate new use cases in a vendor independent environment.
Benefit Companies will not be able to compete in future markets if they are not able to make use of their data. Along the entire value chain additional value is generated by Big Data analytics and data driven processes continuously optimize the business.
Countries and
customers Germany, USA, UK, China, Switzerland
5.15 Telefónica Deutschland – Information on Movement Patterns [1]-[6]
Company Telefónica Deutschland Holding AG
Georg-Brauchle-Ring 23-25 | 80992 München | www.telefonica.de advanced-data-analytics@telefonica.de
Employees Telefónica Group: 130 k | Telefónica Deutschland: 9,5 k (12/2015)
Characteristics ◼ Telefónica Deutschland offers mobile and fixed telecommunications services for private and business customers. With a total of 48.3 million customer accesses, the company is one of the three leading integrated telecommunications providers in Germany. In the mobile segment alone, Telefónica Deutschland serves more than 43 million accesses, making it the country’s market leader.
◼ Telefónica Deutschland’s business processes generate and process huge amounts of partly exclusive data, e.g. location information of mobile phones based on their communication
◼ Telefónica Deutschland’s business processes generate and process huge amounts of partly exclusive data, e.g. location information of mobile phones based on their communication