Keywords are commonly associated with SEO and online searches. However, their utility extends beyond that, serving as powerful tools for internal data management. This week, we tackled a unique challenge that involved extracting keywords from a large dataset within HubSpot CRM, demonstrating the versatility of keywords in data management.
The Challenge: Extracting Keywords from HubSpot Descriptions
A client came to us with a specific need: they wanted to extract 5-6 keywords from company descriptions stored in their HubSpot CRM, amounting to more than 70,000 data points. The challenge was not just the volume but also the diversity, as the descriptions were in over 20 languages.
Our Approach: Python-Powered Solution
Our team leveraged Python to address this issue. We began by translating the descriptions from various languages. Then, we extracted 5-6 keywords from each description. The initial dataset had over 13,000 unique keywords, which we had to narrow down to fit HubSpot's multiple checkbox property limit of 5,000.
The Outcome: A Refined Internal Database
The result was a more streamlined internal database. Our client now enjoys enhanced search capabilities within their HubSpot CRM and has a deeper understanding of their company data.
How Loncom Consulting Can Help
At Loncom Consulting, we specialize in data analytics and business digitalization. Our data-driven approach can help you tackle complex data management challenges, whether it's within HubSpot CRM or any other platform. Our solutions are tailored to meet your specific business needs, ensuring optimal outcomes.
Keywords are not just for SEO; they can be powerful tools for internal data management. With the right expertise and a data-driven approach, challenges like these can be tackled efficiently. If you're facing similar data management issues, Loncom Consulting has the expertise to guide you through it.
For a personalized consultation on data management or other data analytics and business digitalization services, Contact Us at Loncom Consulting today.
