Case study

Modernizing Data Management for the Wind Energy Enterprise

About Client

A European wind turbine manufacturer with a 40-year legacy in Give, Denmark, is a global leader in renewable energy.

By the year 2023, the company had installed turbines with a combined capacity of 50 GW across 40+ countries. With over 10k employees, their growing operations across the globe highlight their commitment to sustainability and innovation.

Problem STATEMENT

After a few rounds of discussion with our team, the company highlighted multiple challenges in their operational workflow and lack of proper data management pipeline. Here are the key issues we identified:

Manual Processes and Data Errors

The client relied heavily on Excel for managing critical data and operations. This manual approach lacked a validation system, leading to frequent errors and inefficiencies.

Limited Stakeholder Insights and Scalable Storage

With increasing data volumes, their existing systems couldn’t handle historical data effectively. This created challenges in providing stakeholders with real-time visibility for data-driven decisions.

Solution

A team of data engineers was allocated to the project and we aimed to replace manual data management with an automated system featuring built-in validation. We started with:

Automated Data Management System
The client transitioned from manual Excel processes to a centralized automated platform, ensuring consistent data capture with built-in validation to reduce errors and save time.
Real-Time Insights with Power BI Dashboards
Custom Power BI dashboards provided stakeholders with real-time, visual insights into key metrics, enhancing transparency and enabling faster, more informed decision-making.
Validation Framework for Data Accuracy
Automated validation rules ensured that only clean, verified data entered the system, eliminating manual checks and ensuring reliable reporting.
Scalable Data Storage Infrastructure
A cloud-based data lake was implemented to handle growing data needs, offering 50% more storage capacity at 20% lower costs while providing seamless access to historical data.
Empowering Stakeholders with Training
Training sessions helped employees understand and use the new system, enabling them to independently create reports and gain actionable insights without IT support.
Cost and Performance Monitoring
Power BI dashboards were set up to track storage costs and operational performance, identifying inefficiencies and providing insights for optimization.

Technical Implementation

Connected diverse data sources like Excel, SQL, and flat files.

Automated data extraction, transformation, and loading (ETL) using dataflows.

Leveraged Power Query for data modeling and refinement.

Built interactive dashboards with KPIs, graphs, and drill-down features for comprehensive insights.

Technical Architecture

Business Impact

Improved Data Accuracy
Automated validation reduced data entry errors by 85%, ensuring that only high-quality, accurate data flowed into reports and dashboards.
Enhanced Stakeholder Visibility
Power BI dashboards provided 100% real-time operational visibility, enabling stakeholders to make decisions 30% faster than before.
Increased Operational Efficiency
By automating manual processes, the client achieved a 40% reduction in operational workload. This saved significant time and allowed teams to focus on higher-value tasks.
Scalable and Cost-Effective Storage
The data lake provided 50% more storage capacity while reducing storage costs by 20%. The solution was future-ready, with room for seamless data growth.
Faster Reporting and Insights
Report generation time decreased by 60%, allowing teams to access insights in minutes rather than hours. This agility significantly boosted decision-making processes.
Reduced IT Dependency
With Power BI’s self-service capabilities, 70% of reports were created by business users themselves. This freed IT teams to focus on strategic initiatives rather than routine reporting tasks.
Cost Savings and Resource Optimization
By optimizing storage and automating processes, the client achieved a 15% reduction in overall operational costs. The financial and resource efficiencies provided a strong foundation for sustainable growth.

Overall, the implemented data management solutions reduced IT dependency and operational costs, delivering immediate benefits while also establishing a sustainable framework for ongoing success.

Industry

Manufacturing & Industrial Engineering

Services Used

Business Intelligence (BI), Data Analytics, Data Warehousing, Digital Transformation, ETL, Power BI

Region

Europe

Function/Department

Operations Management

Engagement Model

End to End Project Lifecycle Management

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Business Development Head
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Modernizing Data Management for the Wind Energy Enterprise

About Client

Problem STATEMENT

Solution

Technical Implementation

Technical Architecture

Business Impact

Industry

Services Used

Region

Function/Department

Engagement Model

Drop Your Business Concern

Ankush

Services

Data Engineering

AI & Machine Learning

Business Intelligence

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