Analytics-Enabled Experiences: The New Secret Weapon

Tracking and analyzing how our individual products come together has always been an elusive problem for Steelcase. Our problem can be thought of in the following way: “we know how many Lego pieces we sell, yet we don’t know what Lego set our customers buy.” The Data Science team took over this initiative, which resulted in an evolution of our analytics journey. It is a story of innovation, resilience, agility and grit.

The effects of the COVID-19 pandemic on corporate America shined the spotlight on office furniture manufacturers to solve for ways on which the office can be made safe again. The team would have never imagined how relevant our work on product application analytics would become. Product application analytics became an industry priority overnight.

The proposal presented this year is the story of how data science is helping corporations bring people back to the office and set the path to lead the reinvention of the office space.

After groundbreaking milestones to overcome technical challenges, the most important question is: What do we do with this? How do we scale this? How do we turn this opportunity into a true competitive advantage? The response: stop thinking about this work as a data science project and start to think about this as an analytics-enabled experience.

During our session we will cover the technical elements that we overcame as a team to set-up a pipeline that ingests semi-structured and unstructured data at scale, performs analytics and produces digital experiences for multiple users.

This presentation will be particularly insightful for Data Scientists, Data Engineers and analytics leaders who are seeking to better understand how to augment the value of data for their organization

About Jorge Lozano

"With a background in Economics and Actuarial Science, Jorge has been involved in data science initiatives at Steelcase for the past 10 years. During this time, he has been part of the evolution of the team; their victories, failures, strengths, and weaknesses. Jorge has learned firsthand the challenges of setting up a data science practice in a non-digitally native organization. Currently, Jorge leads Steelcase’s Data Science team and the Innovation Management Office. Jorge’s focus is to transform customer experiences by developing innovative ways to group, measure and interact with Steelcase's products. Analytics initiatives on which Jorge has participated has resulted multiple external analytics awards and recognitions, as well as the generation of millions of dollars in incremental revenue for the organization. "

About Kevin Tian

Originally from China, Kevin has an educational background in Computer Science and Electrical Engineering from The University of Alabama in Huntsville. He is currently the lead Data Engineer for Steelcase, with over 5 years of experience working in Data Science initiatives. Before his current role, Kevin worked as a data scientist focusing on IoT and data fusion in Steelcase. Hobbies include reading and staying up-to-date on Data Engineering blogs.