Siemens Energy Generates Efficiency in Project Management
Company Size
1,000+
Region
- Europe
Country
- Germany
Product
- WebFOCUS
Tech Stack
- Business Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Services
- Data Science Services
About The Customer
Siemens Energy is one of the world’s leading suppliers of a wide range of products, solutions, and services in the field of energy technology. The company is involved in the construction of combined cycle gas turbine (CCGT) power plants in various countries including the Netherlands, Singapore, and Portugal. These complex projects require high-quality data for project management, particularly during the planning and construction phases. The data is varied and dispersed over several IT systems and manually generated reports, increasing the complexity of the project management process.
The Challenge
Siemens Energy, a leading supplier of energy technology, was facing a challenge in managing the construction of combined cycle gas turbine (CCGT) power plants. The data required for project management in the planning and construction phases of such complex projects was dispersed over several IT systems and manually generated reports. This made it difficult to recognize changes ahead of time. Siemens Energy needed a solution that could quickly retrieve data from various sources, monitor it, and make it available to project managers in a form they could quickly assess and use as a basis for decisions.
The Solution
Siemens Energy implemented the WebFOCUS business intelligence (BI) technology from Information Builders for project monitoring in the construction of the CCGT plants. The solution provides efficient and immediate monitoring of variables that impact the success of the project, such as cost, time, and quality, as well as providing early-warning indicators of any potential problems. The BI application was able to demonstrate its strengths in native access to operational data. The application was implemented with a sophisticated role-based access system that defined who can merely access data, and who can modify it. The data sources that are used with the BI application also had to be examined and prepared from an IT perspective. In the first stage, the BI solution would access more than 20 different systems for project management, while in the second stage there will be more than 25.
Operational Impact
Quantitative Benefit
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