The Gartner Data & Analytics Summit 2022, August 22 – 24, addresses the most significant challenges that data and analytics leaders face as they build the innovative and adaptable organizations of the future. Explore the agenda:
Data and analytics leaders are expanding their sphere of influence and impact on the business. This track investigates critical topics such as unleashing innovation, redefining culture and building and managing creative teams.Gartner Opening Keynote: Unleash Innovation, Transform UncertaintyOur organizations have gone through dramatic changes in the last two years. Data and analytics has simultaneously been a driver, enabler and response to these changes.
Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.Roundtable: Unlock Digital Business Value With Data Literacy and Data-Driven CultureSuccessful digital businesses require a data-literate workforce and data-driven culture. This roundtable will allow CDOs and other data and analytics leaders to exchange ideas and practices with their peers and colleagues.
Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.Roundtable: What Should Your D&A Organizational Model Look Like?The optimal organizational model for data and analytics requires balancing centralized and decentralized functions as well as business and IT capabilities.
Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference. Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.Selecting a D&A Service Provider — How to Choose the Right One for Your OrganizationYour choice of consulting partner can make or break your data and analytics project. This session will provide practical guidance to help you make the best selection of service providers to maximize the chances of success.
This workshop introduces a new toolkit which can be used to diagnostically connect data, analytics, their governance, and their impact on business processes, decisions and their outcomes. Key issues include: How to link data to outcome with Gartner’s Business Value Pyramid. How to start demonstrating business value from data and analytics tomorrow?
Diversity, privacy, sustainability and other societal concerns are now top of mind with consumers. This track provides guidance for putting trusted, agile data and analytics and AI governance practices in place.Digital Ethics: Where are You Now and What Will be Next?Digital ethics has become a mainstream topic at the top of the Hype Cycle. The main question has moved from “what should we do” to “how are we doing”.
Digital acceleration and agility require analytics to be infused into every role, business process, decision and action. This track addresses how to make analytics fundamental to all parts of the business in a trusted way.Rethink Self-Service: Establish Analytic Franchises to Drive Adoption, Break Bottlenecks and Maximize ValueUse the concept of a “franchise” as a metaphor to communicate the optimal data and analytics organizational model.
Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.Show Floor Showdown: Analytics and Business Intelligence Vendors IIThis session will provide attendees an opportunity to see analytics and BI tools being applied in a controlled, consistent setting via a demonstration of product capabilities. Vendors will demonstrate their platform capabilities.
The bake-offs are fast-paced, informative sessions that let you see vendors side-by-side using scripted demos and a common data set in a controlled setting. This session will describe the synthetic data space, particularly the rapidly evolving uses of synthetic data for AI, the options available, when and when not to use it, and best practices based on a broad set of organization interviews.Workshop: Using Cloud to Accelerate Operationalization of Enterprise AICIOs and Senior IT Leaders can strategically leverage cloud services to accelerate productizing Enterprise AI.
AI is already transforming tasks and changing the makeup of roles. Certain roles are more impacted than others. We will explore the impact of AI on jobs. We will look at how this impact is both a brand risk and a competitive differentiator. Finally, we will explore practical steps to be taken as AI maturity increases across industries, so that your enterprise has the skills it needs in the future.
Workshop: How to Use 3 Powerful Financial Models to Optimize Your Infrastructure and Cloud NegotiationsIT leaders will see how to use three financial models for leverage and bargaining power as this session walks through three technology and cloud negotiation scenarios.
Most data lake failures result from underestimating project resources or omitting required technologies. Organizations underestimate skills, time, data volumes, design requirements, governance, and adjusting their traditional experience to the new paradigm of the data lake. This presentation discusses the many requirements of the modern, multi-use data lake, so organizations can avoid failures.
Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference. Master data management alone does not address the needs of the business. This spotlight track addresses the shared fundamentals across MDM and data and analytics governance as well as advanced topics.Foundations and Essentials of Master Data ManagementMaster Data Management underpins business agility and digital transformation through the provision of a single and trusted view of an organizations customers, citizens, suppliers or products as examples.
Data has become the most important asset of an organization, and the management of data is now pervasive throughout the entire organization. This spotlight track highlights all the specific content about data management.Data Lakes, Data Warehouses and Data Hubs Aren't the Same: Know Their Capabilities and PurposeConfusion persists regarding the role of data warehouses, data lakes and data hubs — as well as emerging terms like “lakehouse.” They are not the same.
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