Ziip Ahoy: Full Speed Ahead for Dataport’s Mainframes
Company Size
1,000+
Region
- Europe
Country
- Germany
Product
- Adabas
- Natural
- EntireX
Tech Stack
- IBM zIIP
- Mainframe
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - Database Management & Storage
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Telecommunications
Applicable Functions
- Business Operation
Use Cases
- Predictive Maintenance
- Process Control & Optimization
Services
- Software Design & Engineering Services
- System Integration
About The Customer
Dataport is a service provider responsible for the telephone and data communication, administrative applications, data security, and tax administration for several states and municipalities in Germany. The company is a pioneer in providing IT and communication services for government agencies. With 2,500 employees, Dataport manages approximately 90,000 digital workspaces in six states and 70 communities. The company operates 5,000 servers and four mainframes, handling approximately 17,000 TB of data. In 2016, the company's revenues exceeded €507 million.
The Challenge
Dataport, a pioneer in providing IT and communication services for government agencies in Germany, was facing several challenges. The company was tasked with digitalizing public administration, which was a significant undertaking. Additionally, they were dealing with ongoing high costs associated with throttled processors. The utilization of mainframe capacity was increasing, and there was a growing demand due to new customers. The company was also considering accepting Saxony-Anhalt as a new customer, which would further strain their mainframe capacity.
The Solution
To address these challenges, Dataport turned to Software AG's solutions. They implemented the Database Management System powered by Adabas, Application Development powered by Natural, and Application Modernization powered by Adabas & Natural and EntireX. A key part of the solution was the use of IBM's zIIP (z Systems Integrated Information Processor). By shifting the workload to the zIIP processors, the main processors were freed up and could be used for external clients without upgrading equipment and obtaining IBM licenses. This effectively solved the mainframe capacity problem. The zIIP enablement significantly improved mainframe capacity by offloading the Natural-supported batch and online workload from the GPP to an IBM zIIP.
Operational Impact
Quantitative Benefit
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