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Tuesday, 18 May, 2021 / 10:00 AM - 10:30 AM CEST

(04:00 AM - 04:30 AM EDT)

Gartner Opening Keynote: Learn, Unlearn, Relearn: The Key to D&A Success

Gareth Herschel, VP Analyst, Gartner

"You should sit in meditation for 20 minutes a day, unless you’re too busy. Then you should sit for an hour." We live in busy times, and we need to take the time to think about what is important. What is important in Data and Analytics is Change. If your organization doesn't need or want change, then you don't need data and analytics. But it does. So you do. This is what to do to be successful.

Tuesday, 18 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Data and Analytics in Times of Crisis: Lessons Learned

Donna Medeiros, Sr Director Analyst, Gartner

The pandemic accelerated the uptake of data and analytics and put its use front and center as a vital capability for driving decision making and even survival. This continues as the world gets vaccinated. How did organizations across industries and the public sector adapt by utilizing data and analytics to address the many COVID-19 related health and economic challenges? What are the key lessons learned and insights gained?

Tuesday, 18 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

The Foundation of an Effective Data and Analytics Operating Model

Mike Rollings, Distinguished VP Analyst, Gartner

This session details the foundation of an effective data and analytics operating model.

Tuesday, 18 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Decisions: They Are What You Make Them

Gareth Herschel, VP Analyst, Gartner

We talk about data-driven decisions, but is that really what we want? Combining survey data with broader research in behavioral psychology, this session will provide an overview of how decisions are viewed within organizations, and how they can be improved using a combination of hard data and soft nudges.

Tuesday, 18 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Ask the Expert: Graph 101

Jim Hare, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about Graph 101.

Tuesday, 18 May, 2021 / 12:15 PM - 01:00 PM CEST

(06:15 AM - 07:00 AM EDT)

Roundtable: Achieving Pay Equity in IT by 2025: How Can We Make it Happen?

Debra Logan, Distinguished VP Analyst, Gartner

Join this Roundtable session to learn more about how we can achieve pay equity in IT by 2025.

Tuesday, 18 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Data-Driven Foundations: Getting Started With Data Literacy and Data-Driven Business Transformation

Alan D. Duncan, VP Analyst, Gartner

The increasingly pervasive nature of data makes it crucial for all employees to learn to “speak data.” This foundational session will provide data and analytics leaders with the basis to start a data literacy program as a key enabler of data-driven business. How to champion data literacy awareness and craft a clear case for change? How to conduct data literacy pilots test the value proposition? How to partner with other executive stakeholders to align the data literacy program and collectively create a data-driven culture?

Wednesday, 19 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Crafting a CDO Narrative That Aligns, Informs and Inspires

Debra Logan, Distinguished VP Analyst, Gartner

The articulation of the CDO role, its function and its intended impact is a challenge, given the breadth of the mission, the perspectives of stakeholders and the lack of a shared language. This session will enable new and seasoned CDOs in communicating the essence of their roles and strategies. How to draft a compelling narrative for data and analytics? How to test the narrative with stakeholders? How to use the narrative to set context for your data and analytics strategy and roadmap?

Wednesday, 19 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Scenario Planning: An Extension to the D&A Leaders Strategy Toolkit

Frank Buytendijk, Distinguished VP Analyst, Gartner

There is one area in business there is no data about: The Future. So the future doesn't sound like an appropriate domain for D&A leaders: none of their toolbox works. Scenario Planning is a powerful methodology that is being rediscovered for businesses to deal with extreme uncertainty. Which is the situation you are probably in. Here. Now. D&A leaders should extend their toolkit with Scenario Planning to further increase the strategic impact they have.

Wednesday, 19 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

The Foundation and Future of Roles and Responsibilities: From Control to Collaborate

Jorgen Heizenberg, Sr Director Analyst, Gartner

Fresh hot roles for the information-savvy organization are emerging to help organizations become more data-driven. New skills and competencies are required for existing roles to adapt to the changing role of data and analytics. This session will highlight the key roles and responsibilities in data and analytics to be ready for the digital business and the impact on the organization model. Key issues: What’s happening in data and analytics that is forcing change? What’s the impact on the organization? What’s the impact on roles and skills?

Wednesday, 19 May, 2021 / 10:45 AM - 11:30 AM CEST

(04:45 AM - 05:30 AM EDT)

Workshop: The Foundations of Data Literacy and Data-Driven Culture are the Basis for Digital Business Success

Alan D. Duncan, VP Analyst, Gartner

David Pidsley, Sr Director Analyst, Gartner

A critical success factor for CDOs is their ability to foster the organization's capability for improved data literacy and a more data-driven culture, in support of new digital business opportunities. In this foundational workshop, participants will have the opportunity to gauge their own data literacy, their organization’s data literacy and develop approaches to bridge the gap to raise literacy levels. Based on stories and examples of leading practices, this workshop will examine: What is data literacy? What is information as a second language (ISL) and how does it help me identify and communicate my organization’s needs? How does this help foster a data-driven culture? *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Wednesday, 19 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Ask the Expert: Digital Ethics

Frank Buytendijk, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about digital ethics.

Wednesday, 19 May, 2021 / 12:15 PM - 01:00 PM CEST

(06:15 AM - 07:00 AM EDT)

Workshop: How to Measure and Improve Data and Analytics Maturity

Nate Novosel, Sr Director, Advisory, Gartner

Sarah Turkaly, Sr Specialist, Advisory, Gartner

Gartner's IT Score maturity model provides a clear process for measuring and improving the maturity of your organization's data and analytics program. Attendees will understand the key objectives and activities of the data and analytics function including: How to benchmark their maturity against other organizations. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Wednesday, 19 May, 2021 / 12:15 PM - 01:00 PM CEST

(06:15 AM - 07:00 AM EDT)

Roundtable: How to Select the Right Data and Analytics Organizational Model and Supporting Key Roles

Jorgen Heizenberg, Sr Director Analyst, Gartner

Data and analytics leaders such as chief data officers (CDO) are responsible for deriving measurable business value from their organization's information assets. As such, the data and analytics function is under the spotlight to produce high-quality results quickly and efficiently.
Key issues: In this workshop, we will explore: What skills and competencies are needed for data and analytics excellence? How to organize and structure the team for success? What are the pitfalls to avoid when developing a high-performance data and analytics organization? *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Wednesday, 19 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Ask the Expert: So you want to be a CDO?

Debra Logan, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about becoming a CDO.

Thursday, 20 May, 2021 / 10:45 AM - 11:30 AM CEST

(04:45 AM - 05:30 AM EDT)

Roundtable: Data and Analytics Value Management: Real World Example, Success Stories and Lessons Learned

Simon Greener, Expert Partner, Practice, Gartner

Paul Haskins, Sr Expert Partner, Practice, Gartner

Madhur Hemnani, Director Consulting, Gartner

Join Gartner Consulting D&A Expert Partner, Simon Greener and AstraZeneca Vice President and Head of Data Office, Peder Blomgren, in this Roundtable session to learn more about data and analytics value management. Following a recently successful pilot using the Gartner ROAR model and data asset valuation techniques they will share experiences and lessons learned. The Roundtable will discuss leveraging external and internal best practices and how taking a fast fail approach could work for your organization.

Thursday, 20 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Use Sports Analytics to Communicate the Value of Business Analytics

Kurt Schlegel, VP Analyst, Gartner

Sports leagues around the world have adopted analytics to improve the performance of their players and teams. These efforts offer Business Analytic leaders a treasure trove of best practices and lessons learned. In particular, this 30 minute presentation will cover how to use sports analytics as a way to communicate the value and importance of business analytics to their organization.

Tuesday, 18 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

The Foundation of a Modern Data and Analytics Strategy

Mike Rollings, Distinguished VP Analyst, Gartner

"What should my data and analytics strategy look like" is one of the most common inquiries Gartner’s Data and Analytics research community gets. This is because the role of data and analytics is changing. From being a discipline of itself to becoming a set of capabilities in support of the wider digital strategy or transformation, this presentation will share the best practices that have emerged from hundreds of document reviews and thousands of inquiries.

Tuesday, 18 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Advanced Data and Analytics: What Do Leading Organizations Do?

Jitendra Subramanyam, VP, Team Manager, Gartner

What are leading organizations in Data and Analytics doing that others can learn from? How do they organize? How do they find and retain the right skills? What does their delivery model look like? How do they focus on creating business value? Attend this session and learn from the interviews Gartner has been conducting.

Tuesday, 18 May, 2021 / 01:45 PM - 02:30 PM CEST

(07:45 AM - 08:30 AM EDT)

Workshop: Creating an Effective Data and Analytics Strategy

Mike Rollings, Distinguished VP Analyst, Gartner

Andrew White, Distinguished VP Analyst, Gartner

The potential for data-driven business strategies and information products is like never before, and for some enterprises, data and analytics have become a primary driver of their business. In this workshop, we will discuss a framework for creating a modern data and analytics strategy, key considerations and ways to start. Workshop outcome: Review and start developing key outcomes of a data and analytics strategy. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Wednesday, 19 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Create a Business Case for Metadata Management to Enable Transformational Data and Analytics Initiatives

Guido De Simoni, Sr Director Analyst, Gartner

Rick Greenwald, Sr Director Analyst, Gartner

Data and analytics leaders should use Gartner’s seven-step process to develop a business case that drive business stakeholders engagement and demonstrate business value leveraging KPIs for key metadata management initiatives. What are the critical steps to address in a business case for metadata management? How do you select relevant metrics? How do you communicate value with stakeholders focus?

Wednesday, 19 May, 2021 / 10:45 AM - 11:30 AM CEST

(04:45 AM - 05:30 AM EDT)

Workshop: Data and Analytics Licensing Strategy and Negotiations can Make or Break Your Initiatives

Ankush Jain, Sr Principal Analyst, Gartner

Robert Thanaraj, Sr Principal Analyst, Gartner

With an ever increasing focus on cost optimization across data and analytics software portfolios, and the need to investigate and adopt new technologies, data and analytics leaders are often caught in a conundrum on how to balance the two. This two-part session will guide them on:

1. The most popular and upcoming pricing trends, license models and best practices to negotiate with new and upcoming vendors

2. What are the best practices to negotiate with vendors across data integration, data quality, Master data management, Data Governance, Analytics/BI tools, Hadoop Distribution, NoSQL DBMS, cloud and Data Lakes enablement vendors to save millions *

*Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Wednesday, 19 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

How to Get Started With Advanced Analytics That Rapidly Generate Business Value

Nate Novosel, Sr Director, Advisory, Gartner

This presentation will showcase practical techniques from D&A organizations to get started and rapidly generate business value with advanced analytics. Topics include how to promote the benefits of advanced analytics to business partners and how you escape the expectation hype so you can communicate and execute on the real promise of advanced analytics.

Thursday, 20 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Your Data and Analytics Platform: The Role it Plays in Your Digital Business Success

Andrew White, Distinguished VP Analyst, Gartner

This updated research explains the status and evolving set of data and analytics platforms and how they will increasingly drive every business moment and outcome improvement. The emerging data and analytics platform will be defined and presented, and a clear road map for how to assemble it in your organization will be shared. Don’t panic and buy some AI yet.

Thursday, 20 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

How to Optimize Data and Analytics Value: The New Strategic Imperative

Rita Sallam, Distinguished VP Analyst, Gartner

Data and analytics is a strategic business function that fuels digital acceleration. Yet, most organizations don’t have a systematic way to assess, optimize and articulate data and analytics value. This presentation highlights how CDOs, CIOs, and data and analytics leaders across the organization can use Gartner's D&A Value Management Framework to identify, prioritize and select D&A portfolios that optimize business impact and align to key business initiatives.

Thursday, 20 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Future of Data and Analytics: Reengineering the Decision 2025

Frank Buytendijk, Distinguished VP Analyst, Gartner

Pieter den Hamer, Sr Director Analyst, Gartner

Decision making is a core capability for every organization, and it is becoming more complex. Decisions are becoming more connected, more contextual and more continuous. D&A leaders must prepare to reengineer decision making, and ultimately make business decision making a competitive differentiator.

Thursday, 20 May, 2021 / 12:15 PM - 01:00 PM CEST

(06:15 AM - 07:00 AM EDT)

Workshop: The Art of Articulating and Quantifying the D&A Business Value

Rita Sallam, Distinguished VP Analyst, Gartner

David Pidsley, Sr Director Analyst, Gartner

Join this workshop to learn about the art of articulating and quantifying the D&A business value.

Thursday, 20 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Optimize and Control Your Cloud Spend for Data Management

Adam Ronthal, VP Analyst, Gartner

Data and analytics leaders using cloud-based data management solutions are often surprised by cost overruns. A comprehensive approach combining proactive, reactive and product-specific measures is essential for predictable budgeting for cloud data management environments. We will explore financial governance approaches including choosing the best cloud pricing models for given workloads and the emerging practice of FinOps.

Tuesday, 18 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Where and How MDM Adds Value to the Business

Malcolm Hawker, Sr Director Analyst, Gartner

Master data management programs must be tied to key business drivers to gain end-users' commitment. This session uses case studies to illustrate where and how MDM can deliver clear business value. What are the scenarios where MDM adds value to the business? How can the capabilities that MDM provides be tied to business value? How can your use cases be categorized to best communicate value?

Tuesday, 18 May, 2021 / 10:45 AM - 11:30 AM CEST

(04:45 AM - 05:30 AM EDT)

Roundtable: Challenges and Tactics for Starting or Expanding a Data and Analytics Governance Program

Saul Judah, VP Analyst, Gartner

Data and analytics leaders are faced with many challenges when trying to grow governance maturity -- from politics to past failed attempts, barriers inhibit the necessary engagement and taking the right actions to move forward. Use this interactive session to share issues, ideas and solutions with your peers in order to make progress on your data and analytics governance work. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Tuesday, 18 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Adopt a Data Hub Strategy to Unify Data and Analytics Governance and Integration

Ted Friedman, Distinguished VP Analyst, Gartner

Organizations are often confused by vendors who overcomplicate siloed approaches to data and analytics governance and integration. An effective data hub strategy is a synthesis of best practices that can help you succeed with Data and Analytics governance and data integration, while simplifying your infrastructure.

Tuesday, 18 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Five Critical Components for Effective Data Quality Programs

Melody Chien, Sr Director Analyst, Gartner

Quality insights required by digital business depend on trusted, high-quality data. However, data quality is often treated as an after-thought inconvenience. Effective data quality programs involve not only technologies and tools; it requires a comprehensive framework with foundational building blocks in metrics, processes, policies, and roles and responsibilities. This presentation introduces 5 critical components for effective data quality programs.

Tuesday, 18 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

The Foundation and Future of Data and Analytics Governance

Saul Judah, VP Analyst, Gartner

Traditional data and analytics governance that focuses only on policy, compliance and enforcement is now obsolete for digital business. Adaptive governance practices that are contextual and elastic are urgently needed for successful digital business initiatives. This session discusses why current practices are now inadequate and how adaptive governance practices can be adopted to enable better outcomes.

Tuesday, 18 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Ask the Expert: Choosing the Right DBMS for Your Project

Donald Feinberg, Distinguished VP Analyst, Gartner

Adam Ronthal, VP Analyst, Gartner

There are literally hundreds of choices for a DBMS — relational, nonrelational, open source, multimodel, dbPaaS. The confusion in the market grows daily about how to choose a DBMS, what is available, should I use open source and how to decide between relational and nonrelational. We will answer your questions on these topics and best practices for making a DBMS decision. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Tuesday, 18 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Augmented Data Catalogs: Now an Enterprise Must have for Data and Analytics Leaders

Ehtisham Zaidi, Sr Director Analyst, Gartner

This session addresses how data and analytics leaders can investigate and adopt modern ML-enabled data catalogs as a first step in enabling new data management.
Key issues addressed:
1. What are machine-learning-enabled catalogs?
2. What are the key capabilities for data catalogs?
3. What are the market offerings in this space?
4. How can leaders create a strategy to embed data cataloging?

Wednesday, 19 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Ask the Expert: Effective Data and Analytics Governance: What Are The Must-Have Fundamentals?

Saul Judah, VP Analyst, Gartner

Data and analytics leaders often struggle with the basics and finding the right starting points for governance-focused activities. This interactive Q&A session will highlight key things to know and to do regarding scoping, roles and organizational approaches, metrics, policies and the role of tools -- the foundational pillars for a healthy data and analytics governance program.

Wednesday, 19 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

The Elusive Data and Analytics Governance Platform — Where is It? It's Not for Sale.

Andrew White, Distinguished VP Analyst, Gartner

This forward looking and provocative research explores and explains the state of the market for data and analytics governance capabilities and supporting technologies. We will review the market overall and discuss how organizations should look at technology; and where, when and if a market for data (and analytics) governance will emerge.

Wednesday, 19 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

MDM Role in the Digital Enterprise

Simon Walker, Director Analyst, Gartner

E-commerce has served to drive a voracious appetite for product data. Satisfaction of the "demand side" of product data calls for an end-to-end data strategy and capability. What are the drivers for product data in support of digital commerce? What is the end-to-end product data capability required to satisfy digital commerce requirements? How can organizations deliver against these requirements?

Thursday, 20 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Trusted Data Sharing — Five Insights to Get it Right

Lydia Clougherty Jones, Sr Director Analyst, Gartner

Data sharing without trust can undermine even the most brilliant data and analytics strategy. Trusted-based data sharing done well can create cost savings, improve risk mitigation, and drive new revenue, resulting in a unique, competitive advantage. This session will demonstrate how Data and Analytics leaders can build thoughtful data sharing programs aligned with business goals, including accelerating digital transformation.

Tuesday, 18 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Ask the Expert: Data Catalogs 101 — Moving from “Nice-to-Have” to a “Must-Have” — Answers to FAQs!

Ankush Jain, Sr Principal Analyst, Gartner

Ask the Expert session around Data Catalog: Answers to all your FAQs !

- The purpose of data catalogs is to organize the thousands or millions of an organization’s data sets to help users perform searches for specific data and understand its metadata, such as data lineage, uses, and how others perceive the data’s value (or lack of).

- Data catalog implementations can vary depending on the use-case requirements, tool capabilities and maturity of each organization. There are also many vendor solutions and technology options through which companies can add data cataloging capabilities to their existing data management architecture.

-This session will help D&A Leaders & other participants understand the past, present and future of Data Catalogs. Provide answers to their questions, technology trends, available technology options, pricing trends, implementation trends etc. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Tuesday, 18 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

The Foundations of Analytics and BI: A Market in Transition

Austin Kronz, Sr Principal Analyst, Gartner

This presentation highlights the foundations and key trends in analytics and BI, and is a must-attend for all data and analytics leaders and business practitioners involved in analytics who are interested in starting or expanding their subject-matter expertise.

Tuesday, 18 May, 2021 / 01:45 PM - 02:30 PM CEST

(07:45 AM - 08:30 AM EDT)

Roundtable: How to Govern Self – Service Analytics

Kurt Schlegel, VP Analyst, Gartner

Austin Kronz, Sr Principal Analyst, Gartner

This roundtable will allow attendees to discuss various techniques that have enabled users to create their own analytic content while still maintaining consistency and consensus of the data.

Wednesday, 19 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

How to Balance Control and Agility in Your Self-Service Analytics

Austin Kronz, Sr Principal Analyst, Gartner

Self-service analytics has become a reality as modern analytics and BI tools are now widely adopted, but organizations struggle to deliver in a way that satisfies both IT and the business. Data and analytics leaders can avoid chaos and increase efficiency by balancing control and agility. How to define the roles, privileges, and responsibilities of individuals when moving toward self-service analytics? How do we create a modern analytics and BI content creation life cycle?

Wednesday, 19 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Data Storytelling: A Better Way to Engage Decision Makers With Data

James Richardson, Sr Director Analyst, Gartner

Data storytelling offers a more engaging means of communicating findings than BI reporting or data visualization alone. This trend is an extension of the now dominant self-service model of BI, combining data visualization with narrative techniques. What is a data story? When and how should data storytelling be used? What new skills and techniques are needed to create compelling data stories?

Wednesday, 19 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Ask the Expert: Data Management in Multicloud and Intercloud

Adam Ronthal, VP Analyst, Gartner

Ehtisham Zaidi, Sr Director Analyst, Gartner

Join this Ask the Expert session to learn more about data management in multicloud and intercloud.

Wednesday, 19 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

What If More People Could Ask “What If?” — How to Support Scenario Thinking

Afraz Jaffri, Director Analyst, Gartner

Analytical outputs delivered as visualizations, dashboards or natural language often fail to incorporate "what-if" analysis, allowing users to test a set of options and understand impact. This session will show Data and Analytics leaders how to use this technique successfully, the tools available and how to increase usage across the organization.

Wednesday, 19 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

How to Successfully Implement Innovative Data and Analytics Capabilities

Joao Tapadinhas, VP Analyst, Gartner

Some organization seem to master the deployment of innovative and impactful new technologies, while others consistently lag behind and fail to deliver value. Learn the common characteristics of failed and successful implementations of data and analytics capabilities.
- How to implement (the right) Data and Analytics capabilities?
- How to approach for the delivery of new D&A capabilities?

Thursday, 20 May, 2021 / 10:45 AM - 11:30 AM CEST

(04:45 AM - 05:30 AM EDT)

Roundtable: Getting Started with Data Literacy and Data-Driven Business Transformation

Alan D. Duncan, VP Analyst, Gartner

The increasingly pervasive nature of data makes it crucial for all employees to learn to “speak data.” This roundtable session will provide you with the opportunity to explore successes and pitfalls for starting a data literacy program as a key enabler of data-driven business. How to champion data literacy awareness and make a clear business case for change? How to conduct data literacy pilots test the value proposition? How to partner with other executive stakeholders to align the data literacy program and collectively create a data-driven culture? *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Thursday, 20 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Use Composable Data and Analytics to Build Business-Oriented Analytics Experiences

David Pidsley, Sr Director Analyst, Gartner

Julian Sun, Director Analyst, Gartner

Analytics capabilities become modular with low- and no-code capability introduced into solutions enabled by data fabric. Organizations can compose the building blocks to build tailored analytics experiences rather than monolithic applications. This session will help data and analytics leaders use composable data and analytics to bridge with application development, bringing insights into actions.

Tuesday, 18 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Building End-to-End Data Architectures in AWS, Azure and GCP

Sanjeev Mohan, VP Analyst, Gartner

Cloud platforms provide new opportunities to architect for the most complex data management use cases such as logical data warehouse, streaming analytics and data science. This session delves into components of AWS, Azure and GCP to build reference architectures that are designed to meet your batch, real-time and advanced analytics needs.

Tuesday, 18 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

How to Migrate Your Data and Analytics to the Cloud

Henry Cook, Sr Director Analyst, Gartner

This session will explore key point of cloud migration from a data and analytics perspective. It will be structured around the concepts of market focus and market gaps to ensure a smooth migration. Most assisted aspects include schema conversion and data migration. Gaps include apps and operations, and price/performance comparisons.

Wednesday, 19 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Building Data Lakes Successfully

Sumit Pal, Sr Director Analyst, Gartner

How to build data lakes successfully, handling challenges with best practices, avoiding pitfalls,
What is different in Data Lakes 2.0 and why is it making a comeback
In this session, you’ll learn:
● Current state of Data Lake Architectures - Hybrid and Virtual Data Lakes
● Data Lake Layers and Cross Cutting Components - Ingestion, Storage, Processing, Consumption, Governance, Data Orchestration and Deployments
● Best Architectural practices across each of the layers and components

Thursday, 20 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

XOps for Building Scalable AI Platforms

Sumit Agarwal, Sr Director Analyst, Gartner

As AI and ML initiatives mature enterprises are at a loss to systematically productionalize their ML pipelines and face significant scalability and operational challenges. ML architectures tend to be constrained by data gravity, compute requirements and model integration complexities. Within this session, we will touch upon the framework to build and deploy ML models in production.

Tuesday, 18 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Data Lakes, Data Warehouses and Data Hubs Aren't the Same: Know Their Capabilities and Purpose

Robert Thanaraj, Sr Principal Analyst, Gartner

Confusion persists regarding the role of data warehouses, data lakes and data hubs. They are NOT the same. While the names and terminology are less important than the principles and capabilities, data and analytics leaders need to know the capabilities and the value they provide.
● What are data warehouses, data lakes and data hubs?
● What are the key differences between these concepts?
● How can they be used in combination to meet modern data and analytics needs?

Tuesday, 18 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

How to Avoid Data Lake Failures

Donald Feinberg, Distinguished VP Analyst, Gartner

Everyone wants a data lake, but most attempts fail to live up to hype around this concept. This session explores the multiple reasons why data lakes fail and how you can avoid the traps. Specifically, this session covers:
- What are the major scenarios for data lake failures?
- How can you detect and correct these scenarios?

Tuesday, 18 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

How to Build and Support the Business-Driven Analytics Architecture

Joao Tapadinhas, VP Analyst, Gartner

The Business-Driven Analytics Architecture is more than technology. It includes the design and implementation of an extended data and analytics ecosystem spanning from technology, to data, people, processes and business outcomes. Learn how to:
- Select and prioritize Data and Analytics capabilities deployment.
- Design the implementation roadmap for a comprehensive data and analytics ecosystem.

Wednesday, 19 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

The Foundation and Future of Master Data Management

Sally Parker, Sr Director Analyst, Gartner

This session explains the foundational concepts for the discipline of master data management. What is master data and why is it important? What are the business benefits? What are the discipline and technology components of a successful program and what are the future trends for MDM?

Wednesday, 19 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Driving Analytics Success With Data Engineering

Robert Thanaraj, Sr Principal Analyst, Gartner

The intense focus on data scientists has distracted organizations from an essential element of their analytics success — the delivery of quality data ready for analysis. This session explores the role of the data engineer and how it contrasts with the data scientist. Specifically, it covers:
● What do data engineers do, anyway?
● What are the necessary data engineering skills?
● Where do data engineers fit in your data and analytics program?

Wednesday, 19 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Upgrade to a Data Fabric Design to Transform Your Data Management and Integration Architecture

Mark Beyer, Distinguished VP Analyst, Gartner

Convergence in data integration, quality, preparation and cataloging is paving a way for a core active metadata informed and ML-enabled dynamic data fabric design that can transform data management and integration.
Key issues:
-What does a data fabric architecture mean for D&A leaders and how can they enable it?
-How can D&A leaders enable a data fabric architectures?
-What are the vendors and market offerings?

Thursday, 20 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Essentials for Starting and Supporting Master Data Management

Sally Parker, Sr Director Analyst, Gartner

Trusted and accessible master data is a foundational requirement of business agility. This has led to an explosion of interest in MDM as associated technologies in recent times. Yet the challenge cannot be met by technology alone. This session introduces the requisite knowledge across people, process and technology for a successful MDM program and helps organizations make informed decisions about right-sized strategic choices.

Thursday, 20 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Ask the Expert: Everything You Wanted to Know About Data Fabric but Were Afraid to Ask

Ehtisham Zaidi, Sr Director Analyst, Gartner

Join this Ask the Expert session to learn more about data fabric.

Thursday, 20 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Ask the Expert: Why Diversity is Important for Digital Business Transformation

Debra Logan, Distinguished VP Analyst, Gartner

The business case for diversity and inclusion is well established: superior financial results, higher rates of innovation, and greater levels of employee engagement. Yet many companies and functions within those companies struggle to recruit and retain nontraditional employees. With the best intentions and active diversity programs, the rate of participation by nontraditional employees remains low. Ask the expert how new thinking can change the way data and analytics leaders approach the challenges of diversity and inclusion to change the composition of their workforce to facilitate digital transformation and reap the business benefits. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Thursday, 20 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Not Your Father's MDM: The Rise of Modern Master Data Management

Malcolm Hawker, Sr Director Analyst, Gartner

MDM is growing as a business imperative and a global pandemic, ongoing digital transformations, and technological advances are fueling this trend. Companies that embrace modern forms of MDM, including augmented MDM, are out-accelerating their competitors and gaining market advantages. This session explores the attributes of more modern approaches to MDM and why successful data and analytics leaders are adopting them.

Thursday, 20 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Ask the Expert: What is DataOps, What Value Does It Create, and Do You Need to Adopt It?

Robert Thanaraj, Sr Principal Analyst, Gartner

Data and analytics leaders are seeking ways to more effectively, rapidly and reliably deliver data pipelines in support of business requirements. The traditional ways of working can't provide the levels of flexibility and collaboration required today. DataOps approaches hold the promise of addressing these challenges. This interactive Q&A session will help to provide a basic understanding of the concepts and value of DataOps.

Thursday, 20 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

The Future of Data Management Beyond 2021

Mark Beyer, Distinguished VP Analyst, Gartner

For decades, the focus of your data management architecture has been centered on the management of the data store. Concerns about replication, quality, timing, even storage devices and more are all based upon which store is holding my data now. That's over. We have entered the era of multicloud and massively distributed data utilization.

Tuesday, 18 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

A Five-Step Formula to Pragmatically Implement AI

Erick Brethenoux, VP Analyst, Gartner

Many organizations spend a lot of time, money and political equity trying to define an artificial intelligence (AI) strategy instead of focusing on business problems. Moving from “I want to use AI” to a tactical approach aimed at practically and sustainably solving business problems, while managing expectations, does not require superpowers. CIOs can follow these five steps to pursue an AI strategy in a pragmatic fashion.

Tuesday, 18 May, 2021 / 10:45 AM - 11:30 AM CEST

(04:45 AM - 05:30 AM EDT)

Roundtable: What are the Best Practices to Organize for Machine Learning?

Alexander Linden, VP Analyst, Gartner

Pieter den Hamer, Sr Director Analyst, Gartner

Participants will discuss their challenges in ML into the organization. The discussion can range from organization challenges, platform selection, AI governance, special techniques to advanced cutting edge considerations. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Tuesday, 18 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

The Foundation of Data Science and Machine Learning: Delivering Value in the Age of AI

Peter Krensky, Director Analyst, Gartner

Pieter den Hamer, Sr Director Analyst, Gartner

This session will provide a high-level introduction to data science and machine learning (ML) and their proper function in a data-driven organization. It will include hype vs. reality, key trends, proven use cases, an overview of leading technologies. How do data science and ML fit within both the organization’s analytics and AI strategies? What are the early steps D&A leaders should take to invest in data science and ML? What do successful data science and ML initiatives look like?

Wednesday, 19 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

AI Talent: Recruiting, Hiring, Organizing, Training and Retaining

Austin Kronz, Sr Principal Analyst, Gartner

Peter Krensky, Director Analyst, Gartner

This session covers trends and best practices around managing and developing not only data scientists, but the entire skills mix necessary to build successful data science teams. Key topics: What are the best practices for attracting and retaining successful AI talent? What are the best options for upskilling, reskilling and education in data science and ML? What are the organizational principles for placing data science teams?

Wednesday, 19 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Analytics and BI and Data Science and Machine Learning Platforms Will Meet in the Cloud

Julian Sun, Director Analyst, Gartner

The emerging analytics capabilities are becoming cloud-first and cloud-only. To embrace the collision between analytics and BI with data science and machine learning platforms, organizations will inevitably manage the capabilities in the cloud. The session will demonstrate why data and analytics leaders should synergize and evolve analytics in the cloud.
Why now is the time for the cloud analytics?
Key challenges for transitioning to cloud analytics.
Best practices for efficiently operating cloud analytics.

Wednesday, 19 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Myths and Pitfalls of Artificial Intelligence and How to Navigate Them

Alexander Linden, VP Analyst, Gartner

In this session, we discuss various myths and pitfalls of AI — especially around machine learning and discuss best practices of how to navigate/solve them. Key topics:

- What are the top 10 myths in AI?
- What are the top 10 pitfalls in AI?

Thursday, 20 May, 2021 / 10:45 AM - 11:15 AM CEST

(04:45 AM - 05:15 AM EDT)

Boosting Machine Learning With Better Training Data

Farhan Choudhary, Assoc Principal Analyst, Gartner

The lack of training data is one of the biggest showstoppers for machine learning projects. We discuss best practices to remedy that situation: from data synthesis, active learning and crowdsourcing to data pooling and scrutinizing current data collection strategies. Key Topics:

- Why is the lack of training data such a profound problem?
- What are the key methods to remedy this situation?

Thursday, 20 May, 2021 / 12:15 PM - 12:45 PM CEST

(06:15 AM - 06:45 AM EDT)

Responsible AI: Drive Carefully, Choose Wisely and Do Wonders With AI

Svetlana Sicular, VP Analyst, Gartner

Responsible AI is one of the hottest topics today. It makes AI a positive force, rather than a threat to the society and to itself. In this session, we will examine the most critical aspects of Responsible AI — accountability, explainability and societal impacts. We will share thought leading ideas of how to drive AI responsibly to increase fairness and trust in AI, maintain compliance, protect your reputation and most of all — do wonderful things safely.

Thursday, 20 May, 2021 / 01:45 PM - 02:15 PM CEST

(07:45 AM - 08:15 AM EDT)

Engineering Decision Intelligence: Leveraging AI to Streamline Decision Making

Pieter den Hamer, Sr Director Analyst, Gartner

Making ever-faster decisions leveraging a maelstrom of data in ecosystems that are in constant motion, requires an assembly of increasingly complex techniques. To improve the outcome of decision models and accommodate uncertainty factors, organizations combine AI techniques for maximum flexibility, business differentiation & outcomes. Decision intelligence promotes the sustainability of cross-organizational decisions by building models using principles aimed at enhancing their traceability, replicability, relevance and trustworthiness.

Thursday, 20 May, 2021 / 01:45 PM - 02:30 PM CEST

(07:45 AM - 08:30 AM EDT)

Roundtable: Best Practices for Real-Time Analytics and Continuous Intelligence

W. Roy Schulte, Distinguished VP Analyst, Gartner

Pieter den Hamer, Sr Director Analyst, Gartner

Real-time analytics are going mainstream to support time-sensitive customer engagement, supply chain, banking, government and other applications. New technologies and architectures change the job of data and analytics leaders.
What benefits does continuous intelligence bring? How does stream processing differ from conventional analytics and BI? What are best practices for real-time analytics?

Thursday, 20 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

Ask the Expert: Operationalizing AI and Machine Learning: Best Practices and Lessons Learned

Erick Brethenoux, VP Analyst, Gartner

Jim Hare, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about operationalizing AI and machine learning.

Thursday, 20 May, 2021 / 02:30 PM - 03:00 PM CEST

(08:30 AM - 09:00 AM EDT)

The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore

Svetlana Sicular, VP Analyst, Gartner

Learn about the current trends influencing the machine learning and data science landscape, including ML augmentation and automation, MLOps and model management, explainability and open source. Employ emerging practices to manage and govern data science corporate initiatives, and which platforms to choose. We will discuss high-level some complexities and how enterprises can become more effective.

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