US Non-Profit Organization

At a Glance

Industry: Non-profit (NGO)

Location: USA

Organization: 70 employees

Challenge:

• Limited search functionalities in Notion hindered efficient reporting
• Inability to filter and extract keywords from pages
• Labor-intensive and time-consuming manual data processing

Solution: Implemented advanced automation to extract relevant content and keywords from Notion pages

Results:

• Extracted key reporting data from 5,000+ pages within hours
• Saved 85 hours of manual effort, reducing operational costs by over $2,000
• Enhanced operational capacities, data visibility, and reporting capabilities in Notion
• Empowered and supported quick data-driven decision making

Customer Background

One of the leading civil rights and human relations agencies in the U.S., this well-established non-profit has a significant impact in its field. With a dedicated team of 70 employees, the organization is committed to advancing civil rights and fostering human relations through various initiatives and programs.

Problem

The non-profit struggled with Notion’s limited search capabilities, specifically the inability to perform bulk searches or extract keywords from the body of Notion pages. This inefficiency led to a labor-intensive, manual process for data extraction and reporting from thousands of pages, causing significant delays in decision-making and reporting. While time-consuming, the process was crucial for the NGO, requiring the team to spend days and weeks manually mapping data from page bodies to extract relevant keywords.

Solution

To tackle these challenges, we developed an advanced automation tool that swiftly processes thousands of Notion pages within a couple of hours, automating data extraction and reporting. This tool dramatically reduced manual data handling, streamlined workflows, and enhanced efficiency.

Results

The automation tool saved approximately 85 hours of manual effort and reduced operational costs by over $2,000. It transformed the NGO's data management, cutting the time for manual reviews from weeks to hours and enabling quicker access to key data insights. This accelerated decision-making and allowed the team to focus on more critical tasks.

Conclusion

Through advanced automation, our solution has transformed data handling for a major U.S.-based non-profit, extracting key reporting data from over 5,000 Notion pages in just a few hours. This achievement saved over 85 hours of manual work and reduced operational costs by over $2,000, greatly enhancing operational efficiency and data visibility. By automating content and data extraction, we significantly improved reporting and accelerated decision-making processes.

To discover how our custom and automated solutions can optimize your business operations, schedule a discovery call with us.