Maximizing Operational Efficiency: Enhancing Data Analytics & Streamlining the Scraping Process Real Estate
Our client is the World-Leading Provider of Infrastructure Software.
Their industry-leading software solutions are used by professionals, and organizations of every size, for the design, construction, and operations of roads and bridges, rail and transit, water and wastewater, public works and utilities, buildings and campuses, mining, and industrial facilities.
challenge
- Manual data scraping The data scraping process was manual, cumbersome and faced multiple technical challenges, including bypassing Cloudflare security barriers. Custom solutions were required to overcome these obstacles.
- Data Quality Assurance Identifying and resolving data anomalies, especially related to listings, was a challenge. Ensuring data accuracy and reliability for decision-making purposes required significant effort
- Limited analytics infrastructure Absence of a centralized data repository and limited cloud-based analytics hindered comprehensive reporting and usage tracking. Dashboards lacked interactivity and had an over-reliance on tables which made tracking trends inefficient.
solution
- Framework Development We designed a robust framework for the scraping process, making it adaptable for future projects and domains.
- Automated Scraping Process Leveraging AWS infrastructure, we developed a fully automated scraping process using Selenium, ensuring efficiency and accuracy in data extraction. This included handling long-running URLs, which required significant architectural changes to ensure seamless operation.
- Custom Solutions Through a combination of libraries and custom code, we bypassed security barriers such as Cloudflare and Captcha, enabling seamless data extraction.
- Dashboard and App Maintenance Regular maintenance and updates of Tableau dashboards and Shiny apps ensured that users had access to relevant and up-to-date information, while removing stale apps streamlined the inventory.
- Ad-hoc Analysis for Insights Conducting ad-hoc analysis and generating custom reports uncovered new marketing targets and opportunities for customer service improvement.
Outcomes
- Accelerated Data Gathering By automating the scraping process, we significantly reduced manual effort, accelerated data collection time by 2hours & enhanced overall efficiency.
- Revenue Boost The revenue boost got a whopping 190% as it was fueled by an enhanced customer experience, characterized by improved visibility, reliability, and real-time data update.
- Heightened Product Usage The YOY usage of applicant screening system skyrocketed by 147%, propelled by the implementation of streamlined processes and elevated customer service.
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