– Explore strategies for collecting and integrating customer data from diverse sources, including CRM systems, transactional databases, and third-party platforms.
– Learn how to create a unified customer view by consolidating fragmented data into a single foundation for enhanced personalisation and targeted marketing.

– Learn the tools and techniques for merging data from disparate sources, such as in-store interactions and digital touchpoints, to form a unified customer profile.
– Understand how a single customer view can drive more relevant engagement and deliver consistent experiences across channels.

– Discover how AI-driven models can predict customer needs and preferences to enable hyper-targeted marketing efforts.
– Learn how advanced analytics can help segment customer data for more effective and personalised campaigns, improving overall business performance.

– Leverage data-driven technologies like journey analytics and predictive modelling to personalise customer experiences at scale, including product search recommendations.
– Use real-time insights to dynamically adjust interactions, offering targeted content and anticipating customer needs.
– Enhance engagement with AI-powered tools, creating seamless, relevant journeys that deepen customer loyalty and improve conversions.

– Discover how high-quality, accurate data can lead to more reliable forecasts and business predictions, directly impacting customer satisfaction.
– Learn about the role of data governance in maintaining data quality and ensuring trustworthy insights for decision-makers.

– Understand how data can be used to optimise customer retention strategies and create lasting customer relationships.
– Learn how leveraging actionable data can accelerate customer acquisition efforts, boosting top-line revenue.

– Explore real-world examples of how visualisation has driven executive support and strategic action
– Gain practical tips for presenting analytics in ways that resonate across departments
– Explore how visualisation can bridge the gap between data teams and decision-makers

– Discover how data literacy programmes can help staff at all levels interpret data and make more informed decisions.
– Learn the role of leadership in driving a cultural shift towards data-centric decision-making and fostering collaboration across teams

– Explore the importance of data stewardship in maintaining ongoing data hygiene, from initial collection to eventual disposal.
– Learn how to foster customer trust by ensuring secure data handling throughout its lifecycle, demonstrating commitment to privacy and responsible data use at every stage.

– Gain insight into the latest updates to the Thai PDPA and how businesses can stay ahead of regulatory changes to avoid penalties.
– Understand how to implement internal controls and policies to ensure ongoing compliance with Thai data protection laws.