Customer data presents retailers with a huge opportunity. The volume of customer data available for real-time capture and use has increased exponentially — giving retailers an opportunity to get closer to their customers by understanding preferences and habits. And with some retailers blazing a trail, many organizations are under increasing pressure to change and adapt their models to keep up.
But the path to collecting and actioning consumer data isn’t always clear.
In this webinar, Benjamin Dallinger and Mark Mullen will be breaking down four ways to start actioning customer data with advanced analytics and AI/machine learning solutions — so you can deliver hyper-personalized experiences for your customers.
- Introduction to hyper-personalization and changing customer demands
- 4 ways to action real-time data and drive hyper-personalized customer experiences
1) Imagine the art of the possible
2) Build a good data foundation
3) Enable dynamic single views
4) Automate decision-making
COO, CMO, CTO, CDO, Vice President of Architecture, Vice President of Business Technology
Vice President of Enterprise Architecture and Digital Transformation, Vice President of Innovation
Vice President of R&D, Director of Data and Integration, Director of Data and Governance, Director of Digital Platforms, Director of Enterprise Solutions, Director of Integration, Head of Ecommerce
Head of Customer Experience, Head of New Business & Marketing, Head of Customer Service, Head of Data Integration, Head of Digital, Head of Technology, Head of Data Insights and Artificial Intelligence