Enhancing data quality through automated validation
A leading business data provider to the financial services sector had a primary goal of providing precise investment management insights. The company’s database contained approximately 27,000 public companies, each with a comprehensive set of 240+ attributes covering contact information, personnel data, stock information, financial data, etc. The data had to be meticulously curated to ensure 100% accuracy while also being refreshed periodically to avoid outdated data. We provided an accurate and feasible option to automatically fetch the required information in real-time with FreDa, our advanced yet affordable data quality platform.
The challenge involved handling a wide range of attributes, each governed by its own specific validation rules. This required implementing tailored web monitoring procedures designed to track multiple data sources effectively. Additionally, these procedures were customized to detect and monitor changes in individual data variables, ensuring comprehensive and accurate data tracking throughout the process.
The challenge faced by the client was addressed using a combination of automation and human-in-the-loop manual curation. Data sources were classified and sorted based on priority, reliability, and frequency of updates. We utilized different crawlers for various data sources to collect the majority of the required attributes. Fully automated scrapers were deployed to crawl sources such as stock exchanges, while AI-ML-based bots processed information from websites. Specific bots were tasked with interpreting data such as financials and profit and loss figures. The collected attributes were validated through MOJO, Xtract.io’s proprietary data validation platform, ensuring high accuracy. A team of over 70 in-house technical experts then performed double validation, checking the data for validity and accuracy using the source URLs as references. Any errors corrected by the experts were fed back into the AI-ML system, enabling fine-tuning of the logic for continuous improvement.
Customer data was refreshed regularly, achieving an accuracy rate of over 98%. FreDa’s feedback mechanism enabled continuous learning, resulting in more than 90% accuracy on critical attributes. Cutting-edge technologies combined with technical expertise reduced processing time by 30% and lowered processing costs by 25%.
© 2025 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.
© 2025 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.
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