Six tracks dedicated to answer your top of mind questions


Our agenda consists of six tracks allowing you to uncover the latest trends and thinking on a variety of key issues including artificial intelligence, IoT, machine learning, talent management and much more.

We have six tracks dedicated to your priorities:



Track A: Leadership and Organization: Lead with Purpose

CEOs in all industries are turning to Chief Data and Chief Analytics Officers (CDOs and CAOs) to build the digital organization of the future and achieve business objectives. As a consequence, data and analytics leaders must lead with purpose. With content focused on topics high on the agenda for strategically-minded CDOs and CAOs – skills development, closing talent gaps, building the right teams, formalizing the right roles, data literacy, diversity and ethics.

Track B: Strategy and Business Outcomes: Resolve Ambiguity for Relevance

Organizations continue to struggle with the ambiguity of determining the value of data and analytics. The landscape becomes even more complex as organizations adopt ‘digital-first’ business models and strategies with investments increasingly driven by lines of business leaders. What are the business outcomes you need to achieve? What are the best ways to justify the investments you need to make? How do you form strong partnerships across the organization? This track discusses how to build a successful data and analytics strategy directly linked to key business outcomes – growth, customer experience, monetization of data and analytics, risk mitigation and innovation.

Track C: Trust and Governance: Anchor the Foundation

Trust and governance form the foundation of robust data and analytics strategies – for your customers, partners, and employees. Data and analytics leaders must ensure they have trusted data governance practices, processes and protocols in place. This track provides guidance and best practices for enterprise data governance, including data quality, risk, security, privacy, ethics and regulatory compliance as well as content related to complex and edge architectures. 

Track D: Pervasive Analytics: Grow the Value of Analytics Everywhere 

Digital business calls for analytics to be infused in every role, business process, decision and action. Analytics everywhere is the new digital business imperative. As organizations look to embed their data science capabilities, the hype surrounding data science, Machine Learning and Artificial Intelligence can be daunting.  This track addresses how to make analytics scale to all corners of the enterprise without creating chaos. It discusses the latest trends to make analytics pervasive – augmented analytics, embedded analytics and continuous analytics – as well as technology trends to separate the hype from reality for successful deployment.

Track E: Data-Centric Architecture: Build the Platform of the Future

Undergoing digital transformation means putting data at the core of the enterprise, transitioning from being data driven to being data centric. Visionary leaders understand the necessity of fitting the pieces of this complex technology puzzle together to form a cohesive architecture for future digital success. This track discusses how to draw the disparate pieces together including enabling technology components such as cloud, analytics infrastructure, data lakes, integration, blockchain, hadoop, Spark, in-memory, and more.

Track F: Innovation: Data and Analytics: The Way Ahead 

Harnessing innovative technologies to change the business and how we serve customers is the only choice for forward looking leaders who want to see their organization be a disruptor. Standing still is not an option. This track reveals the more visionary and pioneering trends and aspects of data and analytics. It is designed to deliver innovative approaches that will change your perspectives by offering insights on the future for data and analytics in your organization.

Spotlight Track: Master Data Management in Context: Trust at the Core

For many organizations high quality, high integrity master data is foundational to their data and analytics strategy as well as capability. Yet master data alone does not provide for the needs of the business. It is always a combination of master and non-master data brought together in a deliberate way to meet target use cases that deliver value — and do so across the whole of the enterprise. This spotlight track places MDM in the broader context of data and analytics by virtue of being embedded in each of the primary tracks, addressing both fundamentals and advanced topics within MDM.

Learn firsthand what you can achieve.