Západoslovenská distribučná
Client: Západoslovenská distribučná
Industry: Energy, electricity distribution
Technologies: Microsoft Fabric, Azure Databricks, Azure Data Lake Storage, Azure Data Factory, Azure DevOps, Power BI
Customer Profile
Západoslovenská distribučná, a.s. (ZSD) is one of the most significant electricity distributors in Slovakia. The company provides electricity distribution to more than one million customers in the western part of Slovakia. ZSD focuses on delivering reliable and efficient services, with a strong emphasis on innovation and modernization of its processes and infrastructure. As part of its strategy, the company aims to implement the latest technological solutions to improve service quality and increase operational efficiency.


Project Objective
The goal was to make available profile measurements, register readings, and related master data in a format suitable for analytical processing. This means enabling business users to leverage self-service approaches and machine learning tools to create advanced analytical models, which should be usable in future operational phases to achieve defined business objectives.
Implementation Description
Modern cloud technologies allowed us to build a flexible data platform and establish new data analytics processes in a very short time. We securely integrated smart metering data and linked it with master data from the SAP system. By implementing this requirement through a conceptual approach, we enabled the realization of similar requests for other analytical scenarios.

Key Solution Benefits
The work of the client’s analytics teams has been simplified, and the business now has an access to high-quality data for decision-making. All of this was achieved by integrating data from various sources into a modern Data Lakehouse architecture.
Faster data product development
Reduced time-to-market for data products.
Consolidated data view
Ensures a single version of the truth and improves data quality.
Elimination of duplicate tasks
Increases efficiency in data preparation and processing.
Reduced operational risks
Improved data governance and security.

Result
Thanks to the Data Lakehouse solution, Západoslovenská distribučná gained efficient access to analytical data. Automation and integration with SAP eliminated duplication, accelerated data product development, and enhanced data security. The platform provides a consolidated view of data, supporting better decision-making and more efficient operations.
Next steps
The new Data Lakehouse is ready to integrate additional data sources, significantly enriching the analytical layer and offering new insights for business users. The platform also serves as an excellent support tool for data integration between Západoslovenská distribučná and Východoslovenská distribučná.

„Through a joint project with the team of experts from MAIND, we successfully built a modern Data Lakehouse solution for processing measurement data, integrated with other technical data.“
At Západoslovenská distribučná a.s., we view data as one of the key assets for business development and decision-making processes. Through a joint project with the team of experts from MAIND, we successfully built a modern Data Lakehouse solution for processing measurement data and connecting it with other technical data. The introduction of innovative technologies has opened new possibilities for working with data in advanced analytics and machine learning. I appreciate both the technological and methodological contribution of the MAIND team.
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