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How HRBrain improved their data research process by 80%

“Leveraging Bardeen’s capabilities has drastically reduced our data collection time, allowing us to deliver deeper insights to our clients without the burden of manual data scraping.”
Tim Glowa
Founder & CEO
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The Challenge

HRBrain faced a daunting challenge: efficiently scraping massive amounts of data from job postings and employee reviews to fuel their AI models. The initial process was labor-intensive and resource-draining, making it difficult to manage large-scale data collection effectively.

Streamlining Data Collection with Bardeen

Tim Glowa found Bardeen to be an invaluable partner in streamlining their data collection process. With Bardeen’s sophisticated automation and playbooks, HRBrain transformed the way they gather and manage data.

"Bardeen’s advanced tools have opened new avenues for us," Tim explains. By harnessing Bardeen’s powerful scraping capabilities, HRBrain reclaimed countless hours previously lost to manual data collection, dramatically enhancing their overall efficiency.

Results

  • Dramatic Time Savings: Manual data collection that once consumed 8-10+ hours per day now takes just minutes.
  • Soaring Efficiency: An 80% increase in data research efficiency.
  • Enhanced Insight: The ability to focus on delivering deeper, more meaningful insights to clients.
  • Streamlined Operations: A consistent and reliable data management process with minimal manual intervention.
  • Increased Trust: Enhanced confidence in data collection methodologies, ensuring accurate and efficient data handling.

HRBrain’s use case with Bardeen exemplifies the groundbreaking impact of automation on data research. By leveraging Bardeen’s advanced capabilities, HRBrain has dramatically improved their data collection efficiency and paved the way for innovative AI-driven HR solutions.

About the author:
Lucy Keoni
Customer Success
About the company:
HRbrain
Industry:
Human Resources Technology
Company Size:
11 - 50 Employees
Integrations:
Website:
hrbrain.ai

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