The project encompassed the following key components:
● Web Scraping: Our data engineering team instilled web scraping techniques which includes site analysis, crawler development, testing and deployment to automate the extraction of attorney data from each state bar website.
● Data Integration: We created a centralized database where the scraped data was aggregated and seamlessly integrated with our client’s existing attorney profiles. This ensured a comprehensive and up-to-date repository of attorney information.
● Data Cleansing and Standardization: We implemented algorithms to cleanse and standardize the collected data, eliminating inconsistencies, and ensuring accuracy and reliability. Then we developed algorithms to compare the scraped data with existing profiles in our client’s database. This helped to remove the duplicate attorney data that was collected.
● Quality Assurance: We established a robust two-tier data quality assurance process to ensure accuracy and compliance. The Process Excellence Group (PEG) employed automated algorithms to assess data accuracy, delivering only compliant batches that meet the agreed Service Level Agreement (SLA) to the clients. In case of any discrepancies, the data underwent rework to rectify the issues and ensure high-quality output.