Case study • Real Estate

Maximizing Operational Efficiency: Enhancing Data Analytics & Streamlining the Scraping Process

Our client is the World-Leading Provider of Infrastructure Software.

Success Highlights

  • 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.

Key Details

  • Industry: Real Estate

Business Challenge

Our client is the World-Leading Provider of Infrastructure Software.

  • 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​.

Our Solution Approach

We implemented a comprehensive strategy to address the challenges.

1 · Discover

Framework Development

We designed a robust framework for the scraping process, making it adaptable for future projects and domains.

2 · Design

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.

3 · Implement

Custom Solutions

Through a combination of libraries and custom code, we bypassed security barriers such as Cloudflare and Captcha, enabling seamless data extraction.

4 · Optimize

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.

5 · Scale

Ad-hoc Analysis for Insights

Conducting ad-hoc analysis and generating custom reports uncovered new marketing targets and opportunities for customer service improvement.

Business Outcomes

Our engagement delivered measurable business impact.

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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