Challenge

Bridge Marketing needed to leverage their massive dataset of 25+ million business contacts for targeted marketing campaigns. However, the data faced several challenges that made searching nearly impossible:

• Inconsistent Format and Duplicates (Search Woe): Data came from multiple sources, resulting in inconsistencies and duplicate records. Without a clean structure, searching for specific contacts or criteria was unreliable.

• Unstructured Job Titles (Search Woe): Job titles were not standardized, making it difficult to target specific professionals. Searching for individuals by job title would yield inaccurate results.

• Identifying healthcare professionals (Search Woe): Data lacked explicit identification of healthcare professionals, hindering targeted marketing to this valuable audience. There was no way to search and identify healthcare professionals within the data.

Solution

We developed a comprehensive business analytics and firmographics platform to address these challenges.

Data Cleansing and Normalization:
We have implemented a robust data cleansing process to standardize formats, remove duplicates, and ensure data quality.

Intelligent Job Title Detection:
We integrated with O*NET, the US Department of Labor’s occupational information system, to accurately identify relevant job titles within the unstructured data.

Healthcare Professional Identification and Taxonomy Mapping:
We developed a proprietary algorithm using the National Provider Identification (NPI) database and the NUCC Health Care Provider Taxonomy Codes to identify and categorize healthcare professionals within the dataset.

Results

We developed a comprehensive business analytics and firmographics platform to address these challenges, making in-depth searches of business and healthcare professional data possible and efficient.

• Data Cleansing and Normalization:

  • Clean data fuels accurate searches: We implemented a robust data cleansing process to standardize formats, remove duplicates, and ensure data quality. This ensures your searches return consistent and reliable results.

• Intelligent Job Title Detection:

  • Find the right talent: We integrated with O*NET, the US Department of Labor’s occupational information system, to accurately identify relevant job titles within the unstructured data. This allows you to search for specific skillsets and experience levels by job title.

• Healthcare Professional Identification and Taxonomy Mapping:

  • Target healthcare audiences: We developed a proprietary algorithm using the National Provider Identification (NPI) database and the NUCC Health Care Provider Taxonomy Codes to identify and categorize healthcare professionals within the dataset. This enables you to precisely target healthcare professionals based on their specialty and qualifications in your searches.

TECHNOLOGIES