Track and Sessions Overview

From keynotes, evening events to networking or case studies, at Gartner Data & Analytics Summit 2019 you can build new business relationships, validate your thinking and expand opportunities with like-minded peers.

Track A. Leadership, Strategy and Business Outcomes: Lead With Purpose

CEOs are turning to chief data officers and chief analytics officers (CDOs and CAOs) to build the digital organization of the future and achieve business objectives. Businesses continue to struggle with the ambiguity of determining the value of data and analytics. Leaders must lead with purpose, focused on key topics such as data literacy, diversity and ethics. This track guides participants in how to develop 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 B. Trust, Governance and Organization: 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 right data governance practices, processes and protocols in place as well as the right organizational model and supporting roles. This track provides guidance and best practices for enterprise data governance and organization, including data quality, risk, privacy, ethics and regulatory compliance as well as skills development, closing talent gaps, building the right teams and formalizing the right roles.

Track C. Pervasive Analytics: Grow the Value of Analytics Everywhere

Digital business calls for analytics to be infused in every role, business process, decision and action. Data and analytics investments are increasingly driven by line-of-business leaders and analytics everywhere is the new digital business imperative. A necessary condition of success is the ability to form partnerships between business and data and analytics teams. This track addresses how to make analytics scale, be pervasive and domain specific with topics including augmented analytics, embedded analytics, continuous analytics and supply chain analytics, customer analytics, HR analytics and IoT analytics.

Track D. 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 E. Innovation: Break Through the Hype

The hype surrounding data science, machine learning, artificial intelligence and emerging innovative technologies is daunting. Developing an understanding of the strategies for harnessing technologies in this space is vital for delivering business value. 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 and offers insight on the future and all-important business impact of these advanced data and analytics capabilities.

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

For many organizations, high-quality, high-integrity master data is foundational to 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 nonmaster 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 master data management (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.