Thinking about revolutionizing the energy and utilities sector with cutting-edge solutions? Ready to embark on the journey of transforming the industry? If so, you understand the importance of having a trusted software development partner by your side, especially when faced with the challenges and complexities of the evolving landscape. Allow us to introduce Gentrack, a leading technology company based in New Zealand, specializing in the development, integration, and support of interactive cleantech solutions for the utility and airport industries worldwide.

In collaboration with Gentrack, Globaldev has played a pivotal role in designing and developing a groundbreaking data and analytics layer known as the Gentrack Logical Data Model (GLDM). This innovative solution is tailored to process a vast amount of data, providing the energy and utilities sector with a powerful tool to manage, analyze, and collect diverse data types. Explore the remarkable results achieved through the partnership of Globaldev and Gentrack in our detailed case study.

The energy and utilities sector is at the forefront of digital strategies, source transitions, and business transformations. However, with increased pressure and competition, the need for systems capable of effectively managing, analyzing, and collecting data has become more critical than ever. Discover how a brilliant idea and a professional software development partnership between Globaldev and Gentrack led to remarkable outcomes in our compelling case study.

As energy and utilities companies strive for a more sustainable future, they often face challenges posed by legacy software and data gathering issues. Gentrack recognized this and developed a solution that addresses the technological needs of these companies, ranging from data collection to smart billing. With the growing demand for Gentrack’s software and services, additional Business Intelligence (BI) and Data & Analytics (D&A) experts were required to join their in-house team. Globaldev’s specialists seamlessly integrated into Gentrack to design and develop the Gentrack Logical Data Model. This model now serves as a unified source, offering a comprehensive customer view, enabling quicker generation of reports, dashboards, and analytics. Additionally, it supports the integration of Artificial Intelligence (AI) and Machine Learning (ML) applications on a multitude of pre-established utility-focused Key Performance Indicators (KPIs). For more information on this transformative case.

In the face of sustainability challenges, the energy and utilities industry grapples with issues such as legacy infrastructure, complex processes, consumer and government pressures, and difficulties in interpreting data. Among these challenges, legacy infrastructure and data gathering issues pose significant obstacles. Aging assets struggle to meet the demands of a changing industry, and the transition to more efficient, digital-ready components takes time. Even with digital transformation, companies can find themselves overwhelmed with data from numerous assets, making it challenging to discern which data to prioritize and interpret.

To overcome these hurdles, energy and utilities companies need to embrace new technology, devise innovative business models, and seek guidance from experts. Gentrack, a leading tech company in New Zealand, has made it their mission to simplify the sustainability journey for energy and utilities companies. With the expertise of Globaldev’s specialists, Gentrack successfully designed and developed the Gentrack Logical Data Model (GLDM). Acting as a single source of data, GLDM provides a comprehensive overview of the customer, facilitates quick report and analytics generation, and enables the implementation of AI/ML use cases on a foundation of hundreds of predefined utility-centric KPIs. This achievement was made possible through the collaboration of Gentrack and Globaldev’s BI and D&A specialists, seamlessly integrated into the in-house team. Read more about this impactful collaboration and its transformative outcomes.

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