Teradata empowers companies to achieve high-impact business outcomes. Our focus on business solutions for analytics, coupled with our industry leading technology and architecture expertise, can unleash the potential of great companies.
Teradata is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), and analytics and modeling technologies, and also active in the healthcare and hospitals, renewable energy, retail, and transportation industries.
Teradata’s Technology Stack maps Teradata’s participation in the infrastructure as a service (iaas), platform as a service (paas), and analytics and modeling IoT technology stack.
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The Internet of Trains
Train operators the world over are expected to work miracles, i.e. never to be late. So, with acute service and availability targets to meet, an efficient maintenance program is important. And data-enabled functionality is a must for Siemens. Reactive maintenance (after an incident) and routine, preventive maintenance with its visual inspections and scheduled exchange of components, are no longer enough. We’ve moved on to more cost-effective, condition-based, predictive maintenance. The actual condition of components is measured via the transfer and remote monitoring of diagnostic sensor data; data which is also used to analyse patterns and trends. This helps predict when a component is likely to fail, so it can be repaired before anything untoward happens. To ensure the commercial sustainability of this approach, Siemens needs to use and re-use existing data, creating a kind of ‘Internet of Trains’. Towards this end, they’re analysing sensor data in near real time, which means they can react very quickly, ensuring that customer transport services aren’t interrupted. “It is really difficult to define every issue before it impacts operations using only data from the trains”, Kress explains. However, recent success stories prove that everything is possible.
Smart City Innovation for Multi-Modal Transportation Authority
Given this city’s fast-paced development and growing population, the projected demand is expected to strain the public transportation system if not planned for properly.To serve these anticipated needs, the authority drafted its Land Transport Master Plan for transportation network investments that forecasted needs for over a decade.In addition to a rapidly growing population, ever-expanding data volumes posed a considerable challenge to their technology infrastructure. The authority relies on data and applications to ensure smooth travel for all—capturing more than 12 million records on public transport each day. However, land transport IT systems were designed for quick response time, with priority given to keeping transactions moving; but not for keeping data beyond three months. Lost data meant a lost ability to conduct meaningful trend analysis, create long-term policy planning, or engage in data mining.With the expectation that data volumes would continue to grow, a decision was made to create a data management ecosystem focused on implementing new measures to better address commuter needs.
Accelerate Digital Transformation
A global bank was struggling to engage with customers. Their average-basedprofitability practices weren’t improving customer relationships, maximizingcustomer value, or reducing attrition. Cross-sell and up-sell functions weren’thitting performance targets and the bank’s segmentation analyses were failingto inform pricing and customer service decisions.With no corporate confidence in profitability metrics, the bank needed a newway to reach customers and inspire them to act.
Growing Customer Base with Network Experience Analytics
The business was lack of expertise in-house and needed help in deploying analytics in their network to generate actionable insights.Achieve continual subscriber growth, and minimize churn attributed to poor network services.Customer feedback scores mention poor network experience as the key reason for churn and dissatisfactionMarketing, Sales, and Network teams use siloed decision-making using disparate data sets.Lack of technical expertise to integrate build, and manage analytical capability on large data volume related to network experience.
IBM is an American multinational technology and consulting corporation that manufactures and markets computer hardware, middleware, and software, and offers infrastructure, hosting, and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is intent on leading the development of a global data field.
C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.Year founded: 2009
Altair is a leading provider of enterprise-class engineering software enabling innovation, reduced development times, and lower costs through the entire product lifecycle from concept design to in-service operation. Our simulation-driven approach to innovation is powered by our integrated suite of software which optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling and embedded systems, while also providing data analytics and true-to-life visualization and rendering.
Bosch is an industry leader in automobile and industrial equipment, as well as consumer goods and building systems. Bosch operates via 440 subsidiaries in 60 countries; its core lines include mobility (auto) systems, from diesel/hybrid drive to steering, starter motors and generators, electronics, and brakes.Year founded: 1886Revenue: $58.7 billion (2014)Portfolio Companies:- Bosch Software Innovations- Rexroth- Deepfield Robotics- Escrypt- ProSyst
Siemens is the largest engineering company in Europe. With their positioning along the electrification value chain, Siemens has the knowhow that extends from power generation to power transmission, power distribution and smart grid to the efficient application of electrical energy.Featured Subsidiaries/ Business Units:- Digital Factory- Siemens Technology to Business (TTB)