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While analytics offers valuable insights, many organizations struggle to effectively integrate data into their decision-making processes. This session will explore the challenges businesses face when attempting to drive change with analytics. Drawing from real-world examples, delve into the human factors — including biases, perception, and organizational structures — that often prevent data from having the intended impact. Attendees will gain a deeper understanding of how to foster a culture of data-driven decision-making and ensure analytics are not only collected but actively consumed and acted upon.
What You’ll Learn:
The Human Element of Analytics: Understanding how biases, decision-making processes, and organizational culture shape the adoption of analytics.
Breaking Down Barriers to Data Consumption: Practical strategies for overcoming resistance to change and creating an environment where data is used effectively.
Organizational Impact: How to align analytics with business goals and bridge the gap between data insights and actionable outcomes.
Interactive Exercises: Engaging activities designed to highlight how personal and organizational biases affect data interpretation and decision-making.
Data is everywhere—but turning it into meaningful, actionable insights remains a challenge for many organizations. Join us to unpack how cutting-edge customer analytics, audience identity models, and generative AI are reshaping how companies harness data. From lookalike audience segmentation to dashboarding innovations and AI-powered automation, this session will explore the tools and techniques driving smarter decision-making.
Discover how media and advertising platforms are navigating fragmented data landscapes, leveraging third-party partnerships, and optimizing cross-platform measurement. Plus, get an insider’s take on the biggest hurdles in data integration and the future of AI-enhanced analytics. Whether you’re looking to refine your customer intelligence strategies or understand what’s next in audience targeting, this session will deliver valuable insights for leaders across industries.
Expect a dynamic discussion on:
The evolution of customer analytics in an increasingly fragmented media environment
How AI is transforming measurement, campaign optimization, and dashboarding
Overcoming challenges in data accessibility and cross-platform analysis
What’s next: The rise of generative BI and AI-powered insights
Get ready to rethink how you approach customer data and drive smarter, more impactful business decisions!
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As AI, automation, and advanced analytics redefine customer intelligence, organizations must navigate an evolving landscape of real-time insights, hyper-personalization, and predictive modeling. This session explores the future of customer analytics in an era where emerging technologies are unlocking deeper customer understanding while raising critical questions about data ethics, privacy, and trust.
Key discussion points include:
How AI and machine learning are shaping next-generation customer analytics
The role of automation in driving efficiency and personalization at scale
Striking the balance between data-driven insights and evolving privacy regulations
The impact of new and emerging technologies on customer engagement strategies
Best practices for building a responsible, future-proof customer analytics strategy
Join industry leaders as we explore how businesses can harness AI-driven analytics while maintaining customer trust in a rapidly changing digital landscape.
Effective workforce management is critical to delivering an exceptional customer experience. By analyzing data on call volumes, peak times, and agent performance, businesses can optimize staffing levels to ensure that contact centers are properly equipped to handle demand. This session will explore how leveraging analytics can improve response times, reduce customer wait times, and ultimately drive more efficient, customer-friendly operations.
High-quality data is the backbone of any data-driven strategy, directly influencing CX. This session will explore the critical importance of data quality, focusing on accuracy, completeness, reliability, and consistency. We will discuss how businesses can improve data quality through validation, cleansing, and ongoing maintenance processes, ensuring that data can be trusted to support better decision-making and drive effective customer insights.
Understanding Data Quality: Key attributes of high-quality data and why they matter for CX.
Data Validation & Cleansing: Best practices for ensuring your data is accurate and complete.
Continuous Data Maintenance: The importance of regular data checks and updates to maintain reliability.
Improving CX with Quality Data: How quality data leads to better insights, more informed decisions, and stronger customer experiences.
This session will focus on how advanced customer analytics and segmentation strategies are being used to enhance client relationships and improve marketing effectiveness. The discussion will cover how integrating detailed client data—such as demographic information, product ownership, and life-stage events—helps organizations understand their customers more deeply. We will also explore how predictive modeling, propensity models, and targeted campaigns can optimize customer retention and marketing spend. Additionally, the session will address challenges in data integration and siloed systems, and how overcoming these obstacles can provide a more holistic view of the customer journey. Attendees will gain practical insights into using analytics to drive smarter, more personalized marketing strategies that deliver measurable business results.
Customer expectations are evolving—are you keeping up? Organizations that successfully integrate voice of the customer insights and customer data into their strategy don’t just react to change—they anticipate it. Too often, data is collected but not effectively used to shape the customer journey or inform long-term strategy. By connecting insights to action, businesses can uncover pain points, identify opportunities, and create experiences that drive loyalty and growth.
Key takeaways:
From Data to Strategy – Turn customer insights into a roadmap for business growth and innovation.
Journey Mapping with Impact – Use data to uncover friction points, optimize touchpoints, and create seamless experiences.
Predictive Insights – Move beyond reactive metrics to anticipate customer needs and behaviors.
In this session, we’ll explore how to move beyond traditional feedback loops to build strategies that are not only customer-driven but future-ready.
The true power of data science isn’t in complex algorithms—it’s in how insights are communicated and applied. Whether optimizing safety in mining, improving customer acquisition in insurance, or streamlining operations in consumer goods, the key challenge remains the same: making analytics accessible and actionable. This session will explore how to tailor insights for different audiences, why pilot programs are essential before full-scale rollouts, and how to balance simplicity with sophisticated modeling to drive measurable impact. Through real-world case studies, including AI-driven accident prevention in mining, attendees will gain practical strategies for ensuring data-driven solutions translate into tangible business outcomes.
Craft Texas cocktails like Ranch Water, Texas Mule (with Deep Eddy vodka), and mezcal margaritas, plus Shiner Bock & Lone Star beers.