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Software AG > Case Studies > Accelerating the Performance of Utilities through Business Model Excellence: A Case Study on Enzen
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Accelerating the Performance of Utilities through Business Model Excellence: A Case Study on Enzen

Technology Category
  • Sensors - Utility Meters
Applicable Industries
  • Buildings
  • Utilities
Applicable Functions
  • Product Research & Development
  • Quality Assurance
Use Cases
  • Intelligent Urban Water Supply Management
  • Leakage & Flood Monitoring
Services
  • Testing & Certification
The Challenge
Enzen, a global knowledge enterprise specializing in the energy and water industries, faced several challenges in its mission to make energy and water more affordable, accessible, and sustainable. The company needed to centralize its data and knowledge repository, design and share global best practices with customers, enhance the value of its existing intellectual property, optimize the speed and quality of solutions delivered to clients, and expand its global advisory business. Enzen's clients, who operate in highly regulated sectors, face strict compliance and risk standards, yet they are also expected to deliver more services for lower costs, with greater efficiency. Enzen’s advisory services help companies meet these demands by improving their business model across six dimensions: Process, Data, Digital, Operations, KPIs, and Capability.
About The Customer
Enzen is a global knowledge enterprise that specializes in the energy and water industries. Its mission is to make these two life essentials more affordable, accessible, and sustainable for all through digitalization, decentralization, and decarbonization. Enzen combines experience of real-world practical application with high-value delivery and end-to-end solutions for its clients. It offers global thinking and local strategy that deliver the best outcomes and help leave a cleaner planet for future generations. Enzen's clients operate in highly regulated sectors and face strict compliance and risk standards. They are also expected to deliver more services for lower costs, with greater efficiency.
The Solution
Enzen chose ARIS Advanced running on AWS to centralize its data and knowledge repository, while delivering global reach and helping their clients accelerate business transformation. This solution allowed Enzen to document and share its business models with clients. Enzen’s previous approaches to sharing business models had constrained its ability to serve clients. It tried combining multiple platforms and types of repositories, but portability constraints took more time and effort. Some solutions depended on local hosting, which fell short of Enzen’s need to serve a global market. After migrating its processes to ARIS, Enzen saw major gains in how efficiently its advisory teams could design new processes for clients. The process of exporting end-to-end processes became far faster, and the quality improved greatly as well, leading to fewer errors and interoperability issues.
Operational Impact
  • The implementation of ARIS Advanced running on AWS has significantly improved Enzen's operational efficiency. The company's previous approaches to sharing business models had constrained its ability to serve clients. However, with ARIS, Enzen has been able to overcome these challenges, leading to major gains in how efficiently its advisory teams could design new processes for clients. The process of exporting end-to-end processes has become far faster, and the quality has improved greatly as well, leading to fewer errors and interoperability issues. This has resulted in happier clients and has also enabled Enzen to explore new opportunities for international growth. The company is now looking at new sectors including Smart Cities and Infrastructure where its expertise can be applied.
Quantitative Benefit
  • 2X faster design and documentation of all elements of the business architecture
  • Significant improvement in the quality and consistency of business architecture delivered to clients
  • Achievement of internal growth targets for advisory practice

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