Guest speaker: Glenn Vanderlinden
Glenn has been working in analytics for over a decade. With Human37 he embarked on a journey to help organizations leverage their customer data in a way that actually drives results for their business. How? By making the data work for the actual customer. Glenn is a self-proclaimed geek and autodidact who's only skill is relentless curiosity.
Previously, he held various roles at Semetis including Executive Director of Technical Operations and Services, and worked as a Business Analyst at Deloitte. Today, Glenn helps organizations drive business results by leveraging customer data.
Episode summary
In this episode of Good Data Better Marketing, Glenn Vanderlinden, Co-founder and Lead Solution Architect at Human37, discusses bridging departments to create a consistent customer experience, focusing on the boring parts of AI to drive results, and making the most of customer data with a flexible enterprise.
Key takeaways
Creating a consistent and coherent customer journey requires communication between departments and the bridging of tech stacks.
Without a Chief Data Officer in place when implementing AI, garbage in, garbage outwill result at an unprecedented scale because everything is over automated.
Ensuring you have the right structure and processes in place for AI may seem boring, but it’s essential if you want the tech to work for your business.
Speaker quotes
“If you want to start with personalization, if you want to start with data or upgrade, whatever you have, start with use cases. Verify what you need in order to bring them to life. Be specific about the requirements. Take into account privacy, consent, data minimization. But, the user story is so important because otherwise you might end up with data that has no use case.” – Glenn Vanderlinden
Episode timestamps
*(03:10) - Glenn’s career journey
*(06:06) - Trends impacting marketing and customer engagement
*(11:51) - Glenn’s take on flexible enterprises
*(18:47) - AI use cases
*(25:58) - How Glenn defines “good data”
*(40:22) - Glenn’s recommendations for upleveling customer data strategies