Download PDF
Driving competitive advantage with real-time applications, enabled by SAP HANA on IBM Power Systems
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Functions
- Business Operation
Use Cases
- Predictive Maintenance
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
- System Integration
The Challenge
Ctac, an ICT solution provider and SAP Value Added Reseller, noticed a growing trend among its customers towards more flexibility, faster business processes, and real-time analytics. The company realized that if it could enable its customers to leverage rapid insights into business data cost-efficiently, it could help them gain a competitive advantage. However, Ctac wanted to build a solution that would allow its customers to optimize their business processes without high up-front investments in IT. The company decided to look for the right configuration for core customer workloads that would enable synergies among traditional and new real-time analytics SAP workloads in a single environment utilizing its resources as efficiently and flexible as possible.
About The Customer
Ctac is an ICT solution provider and SAP Value Added Reseller headquartered in Hertogenbosch, The Netherlands, with offices in Belgium and France. Offering business consultancy, cloud services, and software development, Ctac’s 486 employees generate annual revenue of EUR83.4 million. The company's core focus is on SAP solutions and it wanted to support its customers’ business process innovations with a robust, in-memory cloud solution, helping them to benefit from real-time insights and gain new competitive advantages.
The Solution
Ctac built a new, highly flexible and scalable cloud infrastructure to offer customers a robust environment for SAP Business Suite, SAP Business Warehouse and cutting-edge SAP S/4HANA applications and SAP Fiori mobile apps. The company partnered with IBM and SAP and created a tailored data center integration solution to provide innovative cloud services, based on SAP HANA on IBM Power Systems. The company deployed IBM Power System E870 servers with the latest IBM POWER8 processors, the leading IBM PowerVM virtualization technology, and SUSE Linux Enterprise Server for SAP Applications. To provide fast and cost-efficient data storage, Ctac selected IBM Storwize V7000 storage systems with the integrated IBM Easy Tier technology, ensuring automated performance optimization across all systems and applications.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.