Our customer established in 2012 and headquartered in London, is a significant player in the renewable energy sector. The company manages an impressive portfolio of 7.5 GW of renewable energy assets across multiple countries, encompassing wind, solar PV, hybrid power, energy storage, and green hydrogen projects. They are deeply committed to the global energy transition, actively supporting commercial and industrial customers in achieving net-zero emissions. Their ambitious goals include a five-fold growth over the next five years and achieving carbon neutrality by 2030.
Business Context
To achieve its aggressive growth targets and sustainability objectives, the customer required a robust and efficient data management and analytics infrastructure. Their existing setup, characterized by data spread across various disparate platforms like MS SQL, SAP, MySQL, and Excel, all hosted in third-party clouds, presented significant challenges.
The lack of a comprehensive analytics workload and heavy reliance on manual Excel-based analytics hindered their ability to derive timely and accurate insights from approximately 100 GB of available data. This fragmented data landscape impeded their capacity for data-driven decision-making, which is crucial for optimizing operations, managing their extensive asset portfolio, and supporting their rapid expansion.
Challenges Faced by the Customer
The customer faced an urgent need to unify and analyze their extensive data, which was spread across various disparate platforms and lacked a comprehensive analytics workload, leading to heavy reliance on manual processes.
- Data Silos: Data was fragmented across multiple platforms including MS SQL, SAP, MySQL, and Excel, all hosted in third-party clouds.
- Lack of Centralized Analytichjops: Absence of a comprehensive analytics workload, leading to inefficient data processing and reporting.
- Manual Reporting: Heavy reliance on Excel for analytics needs, which was time-consuming and prone to errors.
The Solution Offered by Embee Software
Microsoft Fabric emerged as the ideal comprehensive solution to consolidate customer’s data and drive insightful analytics. The proposed solution involves deploying Microsoft Fabric to integrate and manage their data from multiple sources into a centralized Lakehouse and Warehouse setup, establishing a single source of truth.
The core of the solution is built around Microsoft Fabric, leveraging its robust data ingestion, storage, and processing capabilities. Power BI is utilized for visualization and analytics, enabling the development of comprehensive operational and management reports and dynamic dashboards.
Implementation Approach
- Data Consolidation: Integrating data from MS SQL, SAP, MySQL, and Excel into a unified data Lakehouse architecture.
- Utilization of Microsoft Fabric: Leveraging Fabric’s robust capabilities for data ingestion, storage, and processing.
- Report and Dashboard Development: Creating comprehensive operational and management reports using Power BI for visualization and analytics.
- Near Real-time Monitoring: Developing dynamic dashboards for near real-time data monitoring and decision-making support.
Key Features Utilized
- Unified Data Lakehouse: A centralized repository for all disparate data sources, ensuring data consistency and reliability.
- Scalable Infrastructure: Building a scalable infrastructure capable of handling future data growth and expanding analytical requirements.
- Power BI Integration: Seamless integration with Power BI for powerful visualization and reporting capabilities.
- Automated Reporting: Streamlined data processes and automated reporting to save significant time and resources.
Technical Architecture
The technical architecture centers around Microsoft Fabric’s Lakehouse and Warehouse setup. Data from various sources (MS SQL, SAP, MySQL, Excel) is ingested into the Fabric environment. Within Fabric, the data is processed and stored in a unified Lakehouse, serving as the single source of truth.
Power BI connects to this Lakehouse to create interactive reports and dashboards, providing a comprehensive view of customer’s operations. The architecture is designed for scalability and efficiency, supporting future data growth and analytical needs.
Implementation Journey
1. Planning Phase
The customer identified an urgent need to unify and analyze their extensive data, which was scattered across various platforms including MS SQL, SAP, MySQL, and Excel, all hosted in third-party clouds. Their existing reliance on Excel for analytics highlighted a significant gap in their data strategy. The planning phase involved recognizing Microsoft Fabric as the ideal comprehensive solution to consolidate their data and drive insightful analytics.
2. Deployment Phase
- Data Integration and Consolidation: Seamlessly integrating various data sources into a centralized Lakehouse to ensure data consistency and reliability. This will involve pulling data from MS SQL, SAP, MySQL, and Excel into a unified data architecture.
- Scalable Infrastructure Building: Constructing a scalable infrastructure capable of handling future data growth and expanding analytical requirements, leveraging Microsoft Fabric’s robust data ingestion, storage, and processing capabilities.
- Report and Dashboard Development: Developing comprehensive operational and management reports leveraging Power BI for visualization and analytics. This includes the creation of dynamic dashboards for near real-time data monitoring and decision-making support.
The Impact of the Solution
- Improved Decision Making: Access to consolidated and accurate data will enable better decision-making at both operational and strategic levels.
- Enhanced Efficiency: Streamlined data processes and automated reporting will save significant time and resources, replacing manual Excel-based analytics.
- Data-Driven Culture: Empowering employees with powerful analytics tools will foster a culture of data-driven insights and innovation across the organization.
- Cost Optimization: Reducing reliance on third-party services and optimizing data management will lead to cost savings.
Why Choose Embee Software for Data Analaytics and Microsoft Fabric Solutions?
Embee Software capabilities extend across 12+ advanced Microsoft specializations, enabling businesses to build, modernize, and secure their IT infrastructure. As a Microsoft Solutions Partner in five key categories: Cloud Security, Digital & App Innovation, Infrastructure, Modern Work Enterprise, and Data & AI, we are proud to be recognized now as a Featured Partner for Microsoft Fabric too.
Ready to Break Down Data Silos? Schedule Your Free Microsoft Fabric Consultation with our experts.
