Facing Data Paralysis? This Might Save You

Facing Data Paralysis? This Might Save You

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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Ankush

Business Development Head
Discussing Tailored Business Solutions