Kevin.Troyanos

Kevin.Troyanos

Contributor

Kevin Troyanos leads the analytics & data science practice at Saatchi & Saatchi Wellness. He has focused his career within the healthcare marketing analytics space, empowering healthcare marketers with data-driven strategic guidance while developing innovative solutions to healthcare marketing problems through the power of data science.

He's worked to measure, predict, and optimize marketing and business outcomes across personal, non-personal, digital and social channels. He's also led engagements with brands that span all stages of the product life cycle, with a particular focus on established brands.

Kevin's role is to guide the departmental vision and lead innovation initiatives, effectively positioning marketing analytics as a competitive differentiator and organic growth driver for the agency at large.

The opinions expressed in this blog are those of Kevin Troyanos and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.

Articles by Kevin.Troyanos

A practical guide to KBQ-led enterprise AI strategy
Healthcare Marketing Analytics

A practical guide to KBQ-led enterprise AI strategy

As we approach the peak of the artificial intelligence hype cycle, enterprises need to take a strategic approach to implementing their cutting-edge tech solutions.
November 30, 2018
Why healthcare marketing needs more STEM talent
Healthcare Marketing Analytics

Why healthcare marketing needs more STEM talent

In the digital age, sophisticated data analytics are an essential part of healthcare marketing. Unfortunately, there isn’t enough analytical talent to go around.
May 9, 2018
Sensitivity: Important for bedside manner and algorithmic diagnostics
Healthcare Marketing Analytics

Sensitivity: Important for bedside manner and algorithmic diagnostics

Deep learning algorithms hold huge potential for healthcare diagnostics, but they’re not a silver bullet. As adoption of these tools increases, it’s crucial that healthcare professionals and decision makers consider algorithmic success metrics in their proper context.
April 5, 2018