Optimising data management with Turbine Data Connect

Business Challenge

Our client faced difficulties consolidating data from multiple wind farms, each with turbines from different manufacturers, into a single accessible repository. The manual extraction of data from various sources (emails, APIs, SFTP folders, manual uploads) was time-consuming, error-prone, and led to delays and inaccuracies in reporting.

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Solution Provided by Synetec

Synetec created an Azure data lake and standardised data formats from various sources. They developed Turbine Data Connect, an Azure hosted solution, to automate data extraction, upload, and transformation, ensuring that data was always clean and ready for use.

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Key features of the solution included:

1. Autonomous polling of API endpoints and SFTP directories, with a user interface for manual CSV file uploads.
2. Monitoring of a secure folder for new CSV files and uploads them to the Primary API.

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Technical Implementation

The Turbine Data Connect solution was built on the Microsoft tech stack using SQL Database and Azure cloud infrastructure, as well as Bazefield API, and C# .NET. The team faced challenges such as adapting to changing data sets and managing large volumes of data, which required optimising database queries and storage procedures to maintain performance and avoid excessive expansion of the database.

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Benefits

1. Automatic Data Collection: Consolidated data from various sources into a single data set, enabling easy access and quick aggregation of metrics.
2. Transformation and Enrichment: Standardised and enriched data to ensure consistency and accuracy.
3. Error Logging and Reporting: Provided detailed error logs for better data management.

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These features improved our client's workflow by simplifying data uploads, reducing manual effort, and enhancing data accuracy, thus leading to faster and more reliable reporting.

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Results

The client experienced several benefits:

• Increased Efficiency: Automated data processing reduced manual effort.
• Enhanced Accuracy: Standardisation improved data reliability.
• ‍Simplified Workflow: User-friendly interface streamlined data handling.‍
• Faster Insights: Quick access to processed data enabled better decision-making.

Specific metrics highlighted significant improvements in data processing efficiency and storage optimisation, demonstrating the solution's effectiveness in handling the client's data challenges.

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Discover how Synetec's Turbine Data Connect solution can meet your unique needs and drive your business forward here.

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