AI is having a huge impact, but is not the only thing with societal, technological, and organizational implications driving change in data and analytics. We examine trends in areas such as complexity, trust, and empowerment facing leaders and teams as they make decisions in all aspects of their bet-the-business D&A strategy.

Data and analytics leaders can use the concept of a “franchise” to communicate the optimal organizational model, data architecture and governance framework that large enterprises require to scale self-service analytics programs.

Data and analytics leaders need to support the opportunities and challenges of today’s digital business with the right competencies. This is the time to evaluate data and analytics roles and skills that are fit for now and the future. This session will provide key considerations for D&A and AI roles and skills.

Organizations struggle to make sense of numerous programs and projects that overlap or operate in silos. This research will weave together data and analytics governance, MDM and data quality into one organized initiative that every CDAO should be interested in.

Data and analytics leaders and their data engineering teams are tasked with evaluating and selecting data integration tools. However, there are many options, which can be confusing. This session will explain the various types of data integration tools and technologies available in the market, and help you select the right data integration tool for your needs.

As organisations scale AI and move towards Data Products, success depends on trusted, high-quality data underpinned by strong governance. In this fireside chat, Chemist Warehouse shares how domain-aligned metadata, data quality, and governance, powered by Alation, enable a unified delivery framework using Critical Data Elements (CDEs) to reduce risk, drive self-service, and build a foundation for AI-ready analytics and future data product initiatives.

Organizations can face many challenges in operationalizing D&A and AI strategies. In this session, we discuss how to capitalize on value-based opportunities, engage with stakeholders and get to what matters.

CDAOs implement self-service analytics (SSA) to enable data-driven decision making across their organizations. However, SSA initiatives often fail to deliver on their full potential due to governance, trust, scalability and adoption challenges. This presentation provides a framework for CDAOs to balance control and agility within SSA to drive meaningful business value from data.

Asking your colleagues how analytics can help them often results in blank stares, defensiveness, or wildly incoherent suggestions involving AI. This session will show you how to work with your colleagues to pinpoint how you can help, identify the most helpful capabilities to build, and explain how to measure your impact.

Explore how a global CPG leader revolutionized forecasting by integrating AI, internal data, and 5M+ external signals. By embedding macroeconomic indicators and modeling consumer behavior, they enhanced forecast precision—where even a 1% improvement equates to millions in value.

Across industries, AI-driven forecasting has boosted accuracy to over 90%, reduced out-of-stocks by 32%, and cut inventory costs by 25%.

See how advanced analytics drives agility and measurable impact.

Discover how leading enterprises are transforming financial planning with AI-driven automation, predictive insights, and dynamic decision-making. In this session, we’ll share best practices and real-world use cases of clients leveraging
IBM Planning Analytics to streamline forecasting, enhance agility, and gain a competitive edge. We’ll explore the latest advancements in Agentic AI; intelligent assistants that proactively analyse data, detect outliers, and recommend next steps, empowering finance teams to operate with greater speed and precision.

Urgent Investments in data, analytics and AI use cases has put the spotlight once more on strong data management foundations. Is our Data even Ready for upcoming AI, analytics and data sharing initiatives is now top of mindshare for heads of data, CDAOs and their counterparts. Data Fabrics have emerged as a long term, foundational data management architecture that you should now pursue for sustained D&A success. This session will:
1. Help understand what data Fabrics are and what they mean for your data strategy and architecture
2. Help decide how to build and where to buy
3. Navigate the vendor landscape to assist in tech procurement decisions to aid your fabric journey

To position their teams as a must-have discipline that can fulfill cross-functional use cases, D&A leaders must optimize their organizational model. The optimal organizational model is one that balances enterprisewide capabilities focused on enablement with decentralized needs focused on outcomes. In this session you will learn the design principles behind the right D&A organizational model and how to balance a centralized team (focused on enablement) and decentralized needs (focused on outcomes).

Join your peers to explore effective strategies and address challenges in preparing your data for AI applications. Exchange insights and valuable lessons with other Data & Analytics leaders. Discuss the essential elements of AI readiness and their significance for your data strategy. Discover methods to evaluate your existing data infrastructure and pinpoint areas for enhancement. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with you.

With rapid technological advancements, AI and advanced analytics are reshaping business landscapes. Explore the latest trends and strategies for integrating these tools into your business. Learn from peers and strategically position your organization in the AI era. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with you.

Discuss with your peers the approaches, tips and pitfalls in communicating D&A strategy, approaches and value with executive leadership within the government. Understand how to communicate that the fast-changing world of D&A can be difficult, especially within areas of long-range planning and budgeting. Learn from your peers and build relationships in this session.

D&A is full of politics. What people say they want is often not what they really want with D&A. Resistance to becoming more data-driven is often left unspoken. This session will help you to recognize the most common political issues and the best practices to overcome them.

Since 2022, Gold Coast Health have been on a digital transformation journey. Their objective, to “liberate” clinicians and health staff from burdensome digital and administrative processes by combining data analytics, automation and workflow solutions. Hear about their journey from an on premise enterprise data warehouse to their Advanced Data Platform and their recent success using this platform to automate communications between tertiary and primary care.

Enter the agentic era of data and analytics with Tableau and Agentforce. Discover how AI agents are accelerating data modeling and unlocking conversational analytics. Hear how leading organizations are harnessing agents to reimagine decision-making, supercharge insight delivery, and unleash the full potential of their data-driven workforce.

Chief data and analytics officers play a critical role in driving and overseeing major business changes to deliver enterprise value. Clear and actionable change-management plans are essential for both proactive and reactive data-driven change.

Top tech companies have utilized graphs to power everything, from fraud detection systems to recommendation engines, and they are now finding their way into use cases across industries. This session will introduce the concept of graph analytics and the algorithms used to find hidden insights in data that enhance decision making, with context as king. Additionally, we will explore how Knowledge Graphs can significantly augment LLMs, particularly in the context of Retrieval Augmented Generation (RAG) systems.

This very popular workshop shares the latest toolkit which can be used to diagnostically connect data, analytics, governance and their impact on business processes, decisions and outcomes.

Traditional approaches and thinking around data quality are out of date and not sufficient in the era of AI. Data, analytics and AI leaders will need to reconsider their approach to data quality going beyond the traditional six data quality dimensions. This session will help data leaders learn to think about data quality in a holistic way that support making data AI-ready.

Successful data and analytics strategies today are business-centric, focused on achieving tangible and measurable business outcomes. This session will discuss the anatomy of an effective data and analytics strategy that enables organizations to thrive in today’s highly challenging and dynamic business environments.

Engage with industry peers to explore the pivotal role individuals play in enhancing D&A governance. As organizations increasingly depend on data-driven decision-making, establishing strong governance frameworks becomes vital. Discuss how success is influenced not only by technology and processes but also by empowering those who handle and use data effectively.

Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with you.