ARIS
Publicis Health
Jedd Davis, Chief Product Officer
jedd.davis@publicishealth.com
Companies have an overwhelming amount of data at their disposal, but to translate data into growth, companies need activation-ready solutions that bridge the divide between data-driven insights and data-driven action. That is why Publicis Health created an innovation-focused interagency analytics community named after the activation-ready insights it generates: ARIS.
Two years ago, a large cohort of analytics talent from Publicis Health’s 15 agencies came together for a day-long event of guest speakers, professional development, and interagency relationship-building. The event was so well-received, a second edition was held last year. Following these events, a number of analytics professionals began collaborating with colleagues across the Publicis Health portfolio to tackle analytics and marketing problems. So in January 2019, the company formed a 15-person steering committee tasked with orchestrating the formalization and expansion of this interdisciplinary, interagency analytics community.
ARIS is structured in a way that enables the team to leverage the full scale and diversity of Publicis Health in an entirely de-siloed, interdisciplinary context. Many Publicis Health agencies encounter similar types of problems, and ARIS provides a space in which the team can identify these similarities, share best practices for dealing with them, and use this interdisciplinary insight to either enhance an existing product or service or create an entirely new one.
ARIS has already produced a number of innovative solutions in market today. For instance, PrecisionPro, Publicis Health Media’s innovative HCP media planning and optimization process, was built collaboratively through the ARIS community. PrecisionPro maps a set of data science and machine learning frameworks developed by Saatchi & Saatchi Wellness over a set of media planning approaches developed by Publicis Health Media to deliver an innovative solution that might have never materialized without an analytics community like ARIS in which to collaborate.
