Future-Proof Your Customer Data Strategy with a Lakehouse-First Approach
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Thursday, December 7, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
Customer loyalty is a competitive advantage and critical to the long-term success of companies across industries that have direct relationships with customers—none more so than those in retail, e-commerce, and consumer packaged goods. Marketing and loyalty programs thrive on timely data insights, yet generating complete, customer-360 data views has never been more challenging. Companies must juggle numerous data sources, including transaction systems, websites, CRM, and inventory.
This TDWI webinar focuses on how leading global retailer Skechers’ data team solved challenges using a flexible and scalable toolset plus a data lakehouse to unify, stitch, and maintain a massive amount of customer data. Skechers’ data team enables marketers to gain self-service insights so they can drive powerful business outcomes without relying on engineers and analysts.
Guest speakers from Skechers, ActionIQ, and Databricks will join TDWI to discuss how to create a composable customer data platform (CDP) on top of a data lakehouse to provide an agile and scalable customer data foundation. Speakers will discuss how this foundation enables customer-360 data insights that are critical to meeting current and future marketing objectives.
This webinar will explore:
- TDWI perspectives on trends for solving customer data integration challenges to enable timely and complete insights
- Market trends driving brands like Skechers toward a composable stack strategy built on a data lake
- How Skechers is scaling data-driven marketing and powering global expansion
- Next steps for Skechers to shift to a composable model and the pros and cons
Guest Speakers
Justin DeBrabant
Senior Vice President of Product
ActionIQ
Justin is senior vice president of product at ActionIQ. He spent his formative years building large distributed systems to support data science and analytics and holds a Ph.D. in databases from Brown University where he researched the forefront of modern data systems. For the last 10+ years, he has been passionate about building data-driven products that help realize the value of customer data by delivering truly customer-centric experiences.
Bryan Smith
Technical Director, Retail & CPG
Databricks
As Databrick's GTM technology director for retail and CPG, Bryan specializes in understanding how business-relevant challenges are addressed through the application of data and AI. Bryan has many years of experience in the RCG space through in-industry work at Pennzoil-Quaker State and Royal Dutch Shell and consulting work through Hitachi Consulting. Prior to joining Databricks, he worked as a data and AI specialist on the Microsoft Global Black Belt team and has served the last 10 years as a professor in the Cox School of Business at Southern Methodist University in Dallas, Texas. Bryan brings a wide range of knowledge to his customers from the perspective of an executive, a practitioner, and an academic.
Manish Agarwal
Vice President, Data, Analytics and Insights
Skechers
Manish Agarwal is a seasoned data and analytics leader with over 20 years of experience in driving technology innovation and delivering business insights. Currently the VP of data and analytics at Skechers, he is leading the company's transformation in this area. Prior to Skechers, Manish held leadership roles at Hertz, MGM, Oracle, Myspace, and Deloitte, where he developed growth-oriented strategies, delivered roadmaps, and built data solutions to enable organizations to leverage data and analytics for better decision-making.
David Stodder