Kirk Borne

Advisor to Syntasa | Principal Data Scientist, Executive Advisor to Booz Allen

Dr. Kirk Borne is the Principal Data Scientist and an Executive Advisor at management consulting firm Booz Allen Hamilton since 2015. Before that, Kirk was professor of astrophysics and computational science at George Mason University for 12 years, specifically in the data science program. Prior to that, he spent nearly 20 years supporting data systems activities for NASA space science missions. Kirk has a B.S. degree in Physics from LSU, and a Ph.D. in Astronomy from Caltech. He is an elected Fellow of the International Astrostatistics Association for his lifelong contributions to big data research in astronomy. Since 2013, he has been listed consistently each year as a top worldwide influencer in Big Data and Data Science on social media.

Marketing and the Data Science Dance

If data science was a dance, then we would know what to do — follow the choreographer’s lead and take our cues from them.

If data science was a dance, then we would know what to do — follow the choreographer’s lead and take our cues from them.

Marketing Analytics Grows Up: Breaking the Dependency on Independence

A good mix and balance of dependence and independence goes a long way. This truth spells success for digital marketing analytics.

A good mix and balance of dependence and independence goes a long way. This truth spells success for digital marketing analytics.

The Marketing Automation Mantra: Remember the ALAMO!

The MIPS model of marketing automation and personalization are essential enablers of marketing success.

The MIPS model of marketing automation and personalization are essential enablers of marketing success.

The K.I.S.S. Principle in Marketing Analytics

When faced with the complexity of marketing data, it is good to follow the K.I.S.S. principle.

When faced with the complexity of marketing data, it is good to follow the K.I.S.S. principle.

The Battle for Customer Personalization: Divisive Clustering is Good For You

Divisive clustering is a valuable analytics approach that enables your marketing campaign to achieve the desired level of personalization and “segment of one”.

Divisive clustering is a valuable analytics approach that enables your marketing campaign to achieve the desired level of personalization and “segment of one”.

The Data Science of Chocolate Brownies

When searching for instances of some class of objects in a database, it is imperative to identify key defining attributes that distinguish...

When searching for instances of some class of objects in a database, it is imperative to identify key defining attributes that distinguish...

Marketing Analytics: The Science of Customer Data

Before you begin your next marketing initiative and begin designing new campaigns, take a page out of a science textbook.

Before you begin your next marketing initiative and begin designing new campaigns, take a page out of a science textbook.

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