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Writer's pictureJake Holmes

Case Study: Streamlining Data Processing for Vehicle Ancestry

Updated: 5 days ago

Client: Vehicle Ancestry

Industry: Data Management

Location: Birmingham, UK


Overview

Vehicle Ancestry is the UK’s largest searchable database of vehicle usage. To maintain their extensive dataset, they rely on information gathered from Freedom of Information requests submitted to local authorities across the UK.


Challenge: Inefficient Data Processing

Vehicle Ancestry faced significant challenges in how they obtained and processed their data. The information received from local authorities came in various formats, making it difficult to upload to their central database.


This inconsistency not only caused migration errors but also consumed approximately 40 hours per week in manual processing. The team needed a solution that would streamline this data ingestion process while reducing errors.


Pre processed hackney council data

post processed hackney council data

Solution: A Bespoke Data Processing Application

To address these challenges, we visited Vehicle Ancestry’s head office in Birmingham. During our discovery phase, we carefully examined their existing processes and gathered critical information to design a tailored solution.


Our team developed a bespoke web-based application that allowed Vehicle Ancestry to easily drag and drop their Excel and PDF files. The application processes these files within minutes, significantly enhancing efficiency.


Key Features of the Application:

  • Automated Data Processing: The app quickly converts various formats into a standardised format for easy upload.

  • Anomaly Detection: Once processing is complete, the app highlights any discrepancies in the data, such as private registrations or incorrectly supplied information.

  • One-Click Upload: After reviewing and amending any issues, users can simply click a button to send the cleaned data directly to their database.


Results: Enhanced Efficiency and Scalability

The new application has transformed Vehicle Ancestry’s data processing capabilities. They have not only reduced their data migration time from 40 hours to just minutes but also created a robust procedure that minimises errors.


With this streamlined process, Vehicle Ancestry can now scale their operations more rapidly, importing data at impressive speeds while maintaining high-quality standards.


Conclusion: Driving Innovation in Data Management

SpeedSheet's bespoke solution has empowered Vehicle Ancestry to overcome their data processing challenges, allowing them to focus on their core business of providing comprehensive vehicle usage information to their customers.


Ready to Transform Your Data Processes?

Contact SpeedSheet today to discover how we can help you streamline your data management and enhance your business efficiency.

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