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.

Successful data science teams require the alignment of technical talent, business goals and collaborative culture to drive high-impact analytics outcomes. Leaders and members of these teams have a vital role to play to ensure optimal collaboration and impact. This session highlights what modern data science teams look like, the vital and exciting work they do, and how to ensure these teams thrive.

For over a decade, we have sought a holistic, unifying theory of data management. This presentation documents the quest, and touches on the data and analytics infrastructure model (DAIM), metadata, data fabric, data ecosystems, and FinOps. Each of these is required and together they address everything from infrastructure to AI to strategy communications.

This presentation of Gartner's top D&A predictions for 2024 guides data and analytics leaders as they plan for the impact of AI on all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization.

Given the ease with which AI-based initiatives can be executed nowadays, it is no surprise that more and more enterprises are considering adopting AI-powered autonomous analytics to make well-informed decisions more economically, improve operational efficiencies, and delight customers. Achieving the true promise of AI, however, requires access to data and the execution of such analytics in real time. Join this session to learn about data processing challenges and architecture patterns fueling AI-driven businesses.

Business initiatives succeed when data-driven decisions consistently guide business outcomes. ZenOptics invites Mark Emery, Group Data & Analytics Manager - GAP Group and Toby Pearson, UK Managing Partner - Projective Group to share their knowledge and experiences. Attendees will gain valuable insights on how to rein in analytics chaos, improve user experience, organize analytics for easy access and discovery, foster success of the overall information strategy using an analytics catalog, and the importance of analytics governance to drive trust, achieve cost transparency, and risk reduction.

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.

Gartner's Analytics and Business Intelligence (ABI) Bake-Off showcases the capabilities of three vendors side-by-side on stage using live scripted demonstrations. Join this roundtable to discuss the ABI Bake-Off with your peers. How did key features compare in action? What were the main strengths and weaknesses of the platforms? Did the vendors change your mind about their products?

In the era of AI, harnessing data analytics is essential for innovation. Organizations are transforming their data strategies to harness the full potential of AI.  

Learn how organizations create powerful AI experiences by unifying their data and transforming their data strategies resulting in significant operational efficiencies.

Looker’s AI-first analytics experience, with a conversational interface, enables all users in your organization to leverage trusted data and make better decisions. Discover how you can lay the foundations to deliver best-in-class conversational AI experiences. Join us, along with a cohort of your peers, to participate in discussions around foundational strategies for conversational AI and share existing use cases and experiences.

In an era where speed-to-insight defines competitive advantage, Dunelm is embracing a new paradigm: agentic analytics. This session explores how the UK’s leading homewares retailer is transforming decision-making by empowering business users with real-time, self-serve access to data—without relying solely on data teams. Learn how Dunelm is leveraging AI-powered analytics to surface insights proactively, drive operational efficiency, and reduce the time from question to answer. Whether you're modernising your data stack or looking to scale data literacy across the business, Dunelm’s journey offers a practical look at putting agentic analytics into action.

Analytics is experiencing another monumental change. Just as visual drag and drop BI tools and augmented insights led to changes in analytics delivery, we now experience conversational interfaces, automated workflows and AI agents that cause us to rethink how analytics will be done. Join this session to learn the new technologies that are making an impact and how this will affect plans for future investment in analytics tools, platforms and solutions.

Data and analytics leaders can struggle to translate and assess the necessary investment and return value of D&A initiatives in the public sector. In this session, participants will learn frameworks for public sector value determination and communication and then build out value stories for their initiatives.

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.

SAP and Databricks recently announced their landmark partnership to simplify customer’s data landscapes. Join us to see how we are coming together to shift how applications and data platforms work together. From curated SAP data products to zero-copy integration, learn how SAP Business Data Cloud with SAP Databricks enables your data architecture of choice to deliver insights your business can trust.

Data and analytics leaders can use the concept of a “franchise” as a metaphor 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 expect their data and analytics investments to deliver business results. But unless they address data, analytics and AI risk, their initiatives will fail, leading to higher business risk exposure. This session will help D&A leaders target three key areas where better data and analytics risk practices will yield better business results.

More than 50% of generative AI projects fail. This session will help data & analytics leaders learn the common causes of failures and understand best practices to mitigate those failures and scale AI across the enterprise.

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 struggle to translate and assess the necessary investment and return value of D&A initiatives in the public sector. In this session, participants will learn frameworks for public sector value determination and communication and then build out value stories for their initiatives.

In the face of siloed systems and fragmented processes, Helvetia, a leading international insurance group, sought to increase efficiency and innovation. Discover how improving the integrity of location data, centralising it on a scalable platform, and automating workflows led to significant business transformation. With streamlined spatial operations integrated seamlessly with pricing and underwriting, Helvetia eliminated manual work, accelerated regulatory response, revealed new cross-sell opportunities, and enabled greater AI relevance and accuracy.

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.

To achieve success, it’s essential to establish effective governance, standardise enterprise practices, and balance overall goals with the needs of individual business units. Governance provides a structured framework for analytics and decision-making, while standardisation enhances efficiency by establishing common practices. Together, these elements promote a culture of transparency and accountability, enabling organizations to adapt to change and drive sustainable growth.
In this session, I’ll share how Elsevier’s well-executed Master Data Management strategy helped us strike that balance.

Rapid changes demand innovative decision-making tools beyond traditional methods. Businesses are turning to AI, BI, and data science to gain a competitive edge. The perfect blend of these technologies can be a true differentiator.

- Take a quick look at what to expect from this session
- Challenges in data and analytics today
- Unlocking the power of AI, BI, and data science
- The transformative role of AI-powered self-service BI platforms
- Live demos of next-generation analytics in action

Learn how these innovations can drive better decisions to deliver transformative business outcomes.

Whether you are new in your role or a seasoned veteran, you’re likely being asked how to extract more value from your analytics investment. In this session, we will review how to embed AI and conversational analytics into the flow of users’ daily lives to drive adoption and improve overall customer end-user experience. Putting the power of true self-service into the hands of all users, both internal and external, has never been easier and is now a requirement more than ever.