Creating Equitable 3rd Party Data

Throughout my career leading data teams at eXelate, Nielsen, and Acxiom, I've been at the forefront of creating and scaling 3rd party data. From developing behavior-based audiences using advanced ML techniques at eXelate to developing new approaches for data products like InfoBase and Personicx at Acxiom, I've seen firsthand the power and responsibility that comes with managing large-scale data operations.

This experience has highlighted a critical issue: the underrepresentation of marginalized groups in datasets, perpetuating biases and inequalities across various fields. The stakes are high, and change is crucial. My efforts in this area led to receiving the "Diversity, Equity & Inclusion Trailblazer Award" for driving equitable data practices that fostered fair treatment of marginalized groups.

Addressing this requires:

• Acknowledging systemic biases in data processes

• Diversifying data team

• Improving data collection methodologies

• Implementing ethical data practices

• Using technology to detect and correct biases

• Involving marginalized communities in data processes

• Maintaining transparency about dataset limitations

As data professionals, we must champion these changes, questioning our methodologies and striving for more inclusive practices. Let's drive meaningful change together!