The energy sector is navigating a dynamic period. As organisations around the world drive towards net zero, one energy enterprise is embracing data-driven decision-making. This shift represents a fundamental transformation, with data governance at its core.
Our client needed to make better use of its internal data to overcome a number of challenges. These were:
At the heart of our approach was following a data mesh approach, which separates responsibility between functional data domains that focus on creating data products and a platform team that focuses on technical capabilities.
By leveraging the power of Microsoft Azure cloud, we democratised data governance across the organisation by moving to a federated, product-based operating model. Microsoft Purview’s data governance solutions create one place to manage on-premises, multi-cloud, and SaaS data.
Using Microsoft Purview, the organisation was able to integrate critical data sources and data governance, providing a self-service tool for data sharing.
Following the Microsoft cloud-scale analytics framework the two critical parts of building the data mesh are:
The data platform was built using Microsoft cloud-native PaaS solutions encompassing:
The core platform enabled a report on CO2e emissions via Microsoft PowerBI, allowing the business to access and track carbon emissions across its various operations and assets.
The build-out of the data platform gave autonomy to the data product owner, and increased trust in the quality and accuracy of the data through the data contract.
The implementation of Microsoft Purview helped our energy client to democratise data governance across the organisation. This lightened the load for the data owners, administrators and users, providing users with more autonomy. This provides a pathway to the Microsoft Fabric unified data analytics platform, enabling the client to unlock the full potential of their data in the AI era.
The organisation’s adoption of Microsoft Azure cloud-based technology boosted performance and helped them to be more data-driven.
Moving to a data mesh architecture allowed the organisation shift from centralised to federated ownership, backed up by a modern self-service data platform. This framework allowed the organisation to govern the architecture by ring-fencing it with the data management services while also providing autonomy to data owners.
The data was then made available via Microsoft Purview for the rest of the organisation to consume, whereas before this was a manual process with multiple versions of the data with no single source of truth defined.
This transformation has short and long-term benefits. In the here and now, access to accurate data means reporting to regulators carries less risk, saving the company millions in fines. In the long-term, this adoption enables billions of dollars in savings through cutting long-term operational costs and streamlining the business.
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