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Agenda / Track

Monday, 12 July, 2021 / 10:00 AM - 10:30 AM JST

(01:00 AM - 01:30 AM GMT)

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.

Monday, 12 July, 2021 / 12:05 PM - 12:35 PM JST

(03:05 AM - 03:35 AM GMT)

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

Jorgen Heizenberg, VP 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 organizational design and key roles and responsibilities in data and analytics to be ready for the digital business. 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?

Tuesday, 13 July, 2021 / 10:45 AM - 11:15 AM JST

(01:45 AM - 02:15 AM GMT)

Accelerate Digital Business Through Data-Enhanced Innovation Process

Tsuneo Fujiwara, VP Analyst, Gartner

Data can help in the innovation process by providing an overview of a complex situation. Data can also confirm a hypothesis and try to predict certain outcomes. You can gain insights from data that you may otherwise not get. This session examines how data-driven innovation can accelerate the innovation process.

Tuesday, 13 July, 2021 / 12:05 PM - 12:35 PM JST

(03:05 AM - 03:35 AM GMT)

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

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?

Tuesday, 13 July, 2021 / 12:05 PM - 12:35 PM JST

(03:05 AM - 03:35 AM GMT)

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?

Tuesday, 13 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

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, 13 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

Accelerate Digital Business Through Data-Enhanced Innovation Process

Tsuneo Fujiwara, VP Analyst, Gartner

In this session, Gartner analyst will answer questions regarding the content of the breakout session "Accelerating Digital Business with Data-Driven Innovation.”

Tuesday, 13 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

Ask the Expert: Possibility of Leveraging Gig Workers in Data and Analytics

Akimasa Nakao, Principal Analyst, Gartner

In promoting digital business, many companies are suffering from a shortage of human resources with business knowledge and specific technical skill. Under these circumstances, there are scenes in which gig workers, including freelancers, are used as new sourcing options. In this session, we will introduce some cases of utilization of data and analytics specialists, and explore the merits and precautions through interaction with participants.

Monday, 12 July, 2021 / 10:45 AM - 11:15 AM JST

(01:45 AM - 02:15 AM GMT)

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.

Monday, 12 July, 2021 / 12:05 PM - 12:35 PM JST

(03:05 AM - 03:35 AM GMT)

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

Alan D. Duncan, Distinguished 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?

Tuesday, 13 July, 2021 / 10:45 AM - 11:15 AM JST

(01:45 AM - 02:15 AM GMT)

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

Guido De Simoni, 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?

Tuesday, 13 July, 2021 / 10:45 AM - 11:15 AM JST

(01:45 AM - 02:15 AM GMT)

Future of Data and Analytics: Reengineering the Decision 2025

Frank Buytendijk, Distinguished VP 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.

Tuesday, 13 July, 2021 / 10:45 AM - 11:15 AM JST

(01:45 AM - 02:15 AM GMT)

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, 13 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

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.

Monday, 12 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

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.

Monday, 12 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

Basics and Essentials of Security and Privacy in the Data Utilization

Yuichi Isoda, VP Analyst, Gartner

Security and privacy considerations are becoming more and more important in data analytics. In this session, we will discuss the basics and essentials of security and privacy.

Tuesday, 13 July, 2021 / 12:05 PM - 12:35 PM JST

(03:05 AM - 03:35 AM GMT)

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, 13 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

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, 13 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

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

Melody Chien, 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?

Monday, 12 July, 2021 / 10:45 AM - 11:15 AM JST

(01:45 AM - 02:15 AM GMT)

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.

Monday, 12 July, 2021 / 12:05 PM - 12:35 PM JST

(03:05 AM - 03:35 AM GMT)

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.

Monday, 12 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

Roles to Be Enhanced for Promoting Data Utilization

Hideaki Horiuchi, Managing Vice President, Gartner

Many organizations struggle to achieve business results while pursuing data utilization efforts. In this session, we will explain the “roles” that Gartner considers essential in promoting data utilization and how to identify the points to be strengthened in-house.

Monday, 12 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

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?

Monday, 12 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

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?

Monday, 12 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

Roles to Be Enhanced for Promoting Data Utilization

Hideaki Horiuchi, Managing Vice President, Gartner

In this session, Gartner analyst will answer the questions about the roles Gartner believes to be essential for employees promoting data utilization and how to identify areas to be enhanced.

Monday, 12 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

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, 13 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

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

David Pidsley, Sr 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, 13 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

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.

Monday, 12 July, 2021 / 10:45 AM - 11:15 AM JST

(01:45 AM - 02:15 AM GMT)

The Evolution of Information Sharing, Data Utilization and Analytics and How IT Leaders Should Go for It

Tatsuya Ichishi, Director Analyst, Gartner

BI/Analytics is progressing to augmented analytics using AI. How will the tools affect the utilization of information in the field of business and what should the IT department do for maximizing the value proposition of the augmented analytics? In this session, we will discuss market trends and role and responsibilities required by IT leaders.

Monday, 12 July, 2021 / 10:45 AM - 11:15 AM JST

(01:45 AM - 02:15 AM GMT)

Top Trends in Data and Analytics, 2021

Rita Sallam, Distinguished VP Analyst, Gartner

Donald Feinberg, Distinguished VP Analyst, Gartner

AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented user experiences and beyond, composing and operationalizing data and analytics at scale, engineering decision intelligence, and relating everything, to enabling data and analytics at the edge, there is a rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to resource optimize, accelerate change, drive innovation and transform society over the next three years.

Learn how Data and analytics leaders can leverage these trends into “must-have” investments to anticipate, shift and accelerate transformation in the face of disruption, uncertainty and opportunity.

Monday, 12 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

The Evolution of Information Sharing, Data Utilization and Analytics and How IT Leaders Should Go for It

Tatsuya Ichishi, Director Analyst, Gartner

In this session, Gartner analyst will be available to answer questions from the audience about what will be covered in the breakout session of ‘The Evolution of Information Sharing, Data Utilization and Analytics and How IT Leaders Should Go for It’

Monday, 12 July, 2021 / 01:25 PM - 01:55 PM JST

(04:25 AM - 04:55 AM GMT)

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

Pieter den Hamer, Sr Director Analyst, Gartner

Peter Krensky, Director Analyst, Gartner

Shubhangi Vashisth, Sr Principal 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?

Monday, 12 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

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.

Tuesday, 13 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

Why the Internet of Things Is the Greatest Opportunity (and Challenge!) for Data and Analytics Leaders

Ted Friedman, Distinguished VP Analyst, Gartner

IoT holds massive promise for innovation through new business models that monetize data and analytic insight. While it's a huge opportunity for CDOs and their teams, it also puts pressure on existing capabilities due to massive data volumes, fast-moving event streams and new governance challenges. How does the IoT create new opportunities and challenges? What must D&A leaders do to drive adaptation for the IoT? Which new capabilities will be critical to success?

Tuesday, 13 July, 2021 / 02:45 PM - 03:15 PM JST

(05:45 AM - 06:15 AM GMT)

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.