Data Enrichment Tool for Business & People Profiles
Data Intelligence Success: 80 Increased data processing capacity from to 1,000+ profiles per day and 24 Reduced enrichment time from hours to just 60 minutes for 1,000 profiles
We proposed a solution that would automate the data collection and enrichment process while maintaining the high quality standards StoryLux was known for. The key was to design a system that mimicked the judgment and verification steps their human researchers performed.
Key Outcomes
- •Increased data processing capacity from 80 to 1,000+ profiles per day
- •Reduced enrichment time from 24 hours to just 60 minutes for 1,000 profiles
- •Improved data quality and consistency across all enriched profiles
- •Eliminated the need for manual data entry, freeing up team resources for analysis
Deep Dive: The Challenge
"StoryLux needed to enrich thousands of business and people profiles with comprehensive data from websites and LinkedIn, but manual enrichment by virtual assistants was extremely time-consuming (80 entries per day) and inconsistent in quality."
Their research team was dedicating approximately 320 hours per month to manually researching and enriching profiles. This labor-intensive process involved visiting company websites, LinkedIn profiles, and other sources to gather and verify information. Despite this significant time investment, they could only process about 1,700 profiles per month, creating a serious bottleneck in their growth.
The Solution: Data Enrichment Tool
"We built a custom data enrichment tool using Make.com, Relevance AI, and Airtable that automated the collection and analysis of profile data from multiple sources. The system intelligently extracted, verified, and structured data from websites and LinkedIn profiles."
Here's how we implemented the solution:
We first mapped their entire research workflow, identifying decision points and information sources
Using Make.com as the automation backbone, we built connectors to websites, LinkedIn, and other data sources
Relevance AI was implemented to extract and structure data from unstructured sources like about pages and team sections
Airtable served as the central database, with custom validation rules to flag potential data quality issues
We designed a hybrid approach where clear cases were fully automated, while edge cases were flagged for human review
"What impressed me most wasn't just the sheer volume increase—going from 80 to over 1,000 profiles daily is incredible—but the fact that data quality actually improved. The automated system is more consistent than our manual process ever was."
Long-term Impact
The automation has fundamentally changed StoryLux's business model. What was once a constraint is now a competitive advantage. They've been able to expand their offerings to include near real-time data enrichment services, opening new market segments they couldn't previously serve.
Want to automate your data enrichment process and scale from 80 to 1,000+ profiles per day? Get in touch to see how our custom data automation solutions can transform your workflow.
