Agenda / Track

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Agenda / Track

Monday, 07 November, 2022 / 09:30 AM - 10:15 AM AEDT

Gartner Opening Keynote: Unleash Innovation, Transform Uncertainty

Sally Parker, Sr Director Analyst, Gartner

Peter Krensky, Director Analyst, Gartner

Our 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. Although it is tempting to think things will "return to normal", there will be no old or new normal. In a world of continuous uncertainty, we must use data and analytics innovation to deliver the outcomes our organizations require.

Monday, 07 November, 2022 / 11:00 AM - 11:45 AM AEDT

Roundtable: Acquiring, Upskilling and Retaining Top Talent for Your Data and Analytics Journey

Peter Krensky, Director Analyst, Gartner

Many data and analytics leaders pursue platform investments or key projects without fully considering the talent ramifications that are needed to deliver those efforts. This roundtable session seeks to discuss key considerations and strategies to appropriately consider a talent-centered data and analytics strategy.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 07 November, 2022 / 12:30 PM - 01:00 PM AEDT

Scenario Planning: How D&A Leaders Can Provide Insight Into the Future

Donna Medeiros, Sr Director 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. D&A leaders should extend their toolkit with scenario planning to increase the strategic impact they have.

Monday, 07 November, 2022 / 02:30 PM - 03:00 PM AEDT

The Foundation of Organization and Roles: From Control to Collaborate

Mike Rollings, Distinguished VP Analyst, Gartner

This session will highlight the optimal data and analytics organization model to help organizations become more data-driven balancing centralized and decentralized functions. It will also help you understand how to support digital business with the must-have roles and emerging skills for your D&A teams. Key issues: What’s happening in data and analytics forcing change? What’s the impact on the DA organization? What’s the impact on DA roles, skills and culture?

Monday, 07 November, 2022 / 04:00 PM - 04:45 PM AEDT

Ask the Expert: What You Can Do Today to Foster a Data-Driven Culture

Alan D. Duncan, Distinguished VP Analyst, Gartner

If you are attending this session, you are likely already an evangelist for a data-driven culture, potentially frustrated with the pace of change within your organization. Whether a formal program exists or not, there are practical things we "the collective" can do to influence culture. This session provides a forum to explore and discuss practical measures for today and tomorrow.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT

Leading a Data-driven Transformation Program

Alan D. Duncan, Distinguished VP Analyst, Gartner

Introducing Gartner's data-driven attribute model that guides the creation of your data-driven transformation program. Why is it critical to formalize your transformation program? What are the seven core attributes and twenty-two subattributes of a data-driven enterprise? How can you take initial steps to establish a transformation program?

Tuesday, 08 November, 2022 / 02:00 PM - 02:30 PM AEDT

Why Every Organization Should Have a Chief Data Officer

Andrew White, Distinguished VP Analyst, Gartner

This research demonstrates the value to an organization of having a CDO and is augmented with other advice to explain why every organization should have a chief data officer. The question is not if, but when. Then again, you may already have a CDO and not even know it! Come find out what that means.

Tuesday, 08 November, 2022 / 02:00 PM - 03:30 PM AEDT

Workshop: How to Measure and Improve Data and Analytics Maturity

Kurt Schlegel, VP Analyst, Gartner

Gartner's IT Score maturity model provides a framework for measuring and improving the maturity of data and analytics programs. This workshop will enable data and analytics leaders to better understand the components of Gartner's maturity model, how it provides benchmarks for maturity against other organizations, and how to get the most value out of the assessment based on lessons learned from other organizations.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 08 November, 2022 / 03:30 PM - 04:00 PM AEDT

How to Have an Engaging Conversation With Your CEO About Data and Analytics

Saul Judah, VP Analyst, Gartner

Better engagement with senior business leaders requires data and analytics leaders to have sharper communication skills. This short session shows how improving the power of your listening, influencing and persuasion will lead to more engaging and actionable business conversations.

Monday, 07 November, 2022 / 11:00 AM - 11:30 AM AEDT

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 D&A research community gets. This is because the role of D&A is changing. From being a discipline of itself, to becoming a set of capabilities in support of the wider digital strategy or transformation. Best practices will be shared in the session.

Monday, 07 November, 2022 / 11:00 AM - 12:30 PM AEDT

Workshop: How to Identify and Select Data and Analytics Consulting Services That Match Your Needs

Twiggy Lo, Sr Director Analyst, Gartner

Finding external support for data and analytics initiatives is a critical yet complex process. In this workshop, we will explore how data and analytics leaders can get external support from system integrators and consultancies for their internal D&A initiatives, by focusing on the desired capabilities, existing deficits and constraints, rather than the service providers.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 07 November, 2022 / 12:30 PM - 01:00 PM AEDT

Where and How MDM Adds Value to the Business

Sally Parker, 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 the use cases be categorized to best communicate value?

Monday, 07 November, 2022 / 02:30 PM - 03:00 PM AEDT

Decisions: Can Data and Analytics Make Them Better?

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.

Monday, 07 November, 2022 / 04:00 PM - 04:30 PM AEDT

The Foundation of an Effective Data and Analytics Operating Model

Donna Medeiros, Sr Director Analyst, Gartner

To be effective at implementing a modern D&A strategy, D&A leaders need to deploy an operating model to help drive effectiveness and efficiency through all their programs, projects and products. This session shares the best practices to create an effective D&A operating model, how to translate vision and strategy to practical objectives, and what capabilities you need to account for in your delivery model.

Tuesday, 08 November, 2022 / 10:30 AM - 11:00 AM AEDT

How to Create Metrics That Matter

Andrew White, Distinguished VP Analyst, Gartner

Getting your performance indicators right helps build a successful organization. As they say, what gets measured, gets done. So what is new in creating the metrics that matter? What are the right metrics for organizations that are undergoing digital optimization and transformation? How can data and analytics do more than just measure the right KPIs, but also tangibly improve them. And how does measurement drive the right behaviors?

Tuesday, 08 November, 2022 / 03:30 PM - 04:00 PM AEDT

How to Leverage Customer Data Management Technologies for Better Customer Experiences

Melissa Davis, VP Analyst, Gartner

Adjacent, overlapping technologies for customer data management cause confusion among organizations as to which technology is optimal. This session will help CX leaders know the right customer data management components for organizing and sharing data for better CX. What is customer 360 and how can it be used to improve CX? What are the data management technologies used to manage customer data?

Monday, 07 November, 2022 / 12:30 PM - 01:00 PM AEDT

Data and Analytics Governance: Foundations & Prospects

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.

Monday, 07 November, 2022 / 02:30 PM - 03:00 PM AEDT

Metadata Is the Key to Self-Learning, Augmented Data Governance

Mark Beyer, Distinguished VP Analyst, Gartner

Data governance must evolve from a concept of restriction, monitoring and resolution into a self-learning model that detects benefits and identifies risks. By balancing the design expectations of how systems should work with the actual experiences, a metadata analysis component educates and enables governance.

Tuesday, 08 November, 2022 / 10:30 AM - 11:00 AM AEDT

The Foundations 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?

Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT

The Journey to Data and Analytics Governance Platforms

Andrew White, Distinguished VP Analyst, Gartner

Digital transformation efforts face the challenge of overcoming disconnected silos of data and analytics across an enterprise. Without modern practices for data and analytics governance, decision-making is more complex, time-consuming and expensive. Join this session to learn more about how emerging technology platforms will drive new effective practices.

Tuesday, 08 November, 2022 / 03:30 PM - 04:15 PM AEDT

Roundtable: Enabling Effective Data Sharing Practices

Andrew White, Distinguished VP Analyst, Gartner

A conversation about practical steps you are taking to build a thriving market for sharing and monetizing data across organizational silos.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 07 November, 2022 / 11:00 AM - 11:30 AM AEDT

How to Govern Self-Service Analytics

Carlie Idoine, VP Analyst, Gartner

Self-service analytics empowers employees across your organization to leverage data for insights. But unchecked proliferation of data and analytics increases security risk, creates analytical silos and leads to inconsistent findings across reports, negatively impacting business decision making. This session dives into implementing self-service governance in common analytical tools.

Monday, 07 November, 2022 / 12:30 PM - 01:00 PM AEDT

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

Neil Chandler, Managing Vice President, Gartner

Data storytelling offers a more engaging means of communicating findings than ML algorithms 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?

Monday, 07 November, 2022 / 02:30 PM - 04:00 PM AEDT

Workshop: Engaging Decision Makers Through Data Visualization and Storytelling

Neil Chandler, Managing Vice President, Gartner

Data storytelling promises 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? This workshop includes best practices in visualizing data and mistakes to avoid. As part of the workshop, we will analyze examples you bring as a group and recommend ways to more effectively communicate data. (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.)

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 07 November, 2022 / 04:00 PM - 04:30 PM AEDT

Scaling Analytics for Everyone Through Automation

Austin Kronz, Director Analyst, Gartner

D&A leaders are experiencing the decline of the dashboard as automated insights, data stories and natural language generation drive a majority to adopted augmented analytics as consumers. Learn the capabilities that enable organization to augment and automate their analytics workflow. Discover how to scale up to increase the reach, transmission speed and comprehension of data-driven decisions.

Tuesday, 08 November, 2022 / 10:30 AM - 11:00 AM AEDT

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

Carlie Idoine, VP 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, 08 November, 2022 / 10:30 AM - 12:00 PM AEDT

How to Measure and Improve Data Quality?

Melody Chien, Sr Director Analyst, Gartner

This workshop walks through practical steps of measuring and improving data quality. Attendees will understand the key objectives and activities of measuring data quality including how to define and select data quality metrics, develop the actual measurement jobs, and identify the benchmark. The workshop will also discuss possible solutions for the data quality problems.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT

Rethink Self-Service: Establish Analytic Franchises to Drive Adoption, Break Bottlenecks, and Maximize Value

Austin Kronz, Director Analyst, Gartner

Data and analytics leaders can use the concept of a “franchise” as a metaphor to communicate the optimal self-service strategyl. Analytic franchises can improve the collaboration and shared best practices required across a large enterprise.

Tuesday, 08 November, 2022 / 02:00 PM - 02:30 PM AEDT

AI and Customer Analytics - Now and Next

Melissa Davis, VP Analyst, Gartner

Improving customer experiences and relationships is one of the largest drivers of analytic adoption. Despite an increasing number of organizations leveraging AI techniques, few have rethought their approach to customer relationships. How can organizations use these tools to improve customer intimacy?
- What should you be doing already?
- What should you do next?
- What should you be planning for?

Monday, 07 November, 2022 / 11:00 AM - 11:30 AM AEDT

How to Find Winning AI Use Cases

Erick Brethenoux, Distinguished VP Analyst, Gartner

AI use case prioritization is still a daunting task involving multiple skills and storytelling craft. We show how the use-case prism helped in prioritizing over 200 AI use cases for over 24 different vertical and horizontal domains.

Monday, 07 November, 2022 / 02:30 PM - 03:00 PM AEDT

Technical Insights: Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques

Sumit Agarwal, Sr Director Analyst, Gartner

Organizations are often concerned with sharing of sensitive data internally (and definitely externally). The existing data privacy techniques, however, are counter-productive to the data science effort. Emerging techniques such as synthetic data, differential privacy and federated learning provide a best-of-both-worlds approach. This session provides in-depth insights into these techniques.

Monday, 07 November, 2022 / 02:30 PM - 03:15 PM AEDT

Ask the Expert: How to Operationalize AI and ML Projects — Key Considerations, Best Practices and Lessons Learned

Erick Brethenoux, Distinguished VP Analyst, Gartner

Organizations often struggle with operationalizing ML and AI projects. In this session, we'll focus on the key considerations for operationalization, best practices from around the world and lessons learned from some case studies.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 08 November, 2022 / 10:30 AM - 11:00 AM AEDT

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

Peter Krensky, Director Analyst, Gartner

This presentation will describe the current trends influencing the machine learning and data science landscape: including augmented analytics, MLOps, managing and governing data science corporate initiatives, and which platforms to choose. We discuss high-level some of the myths, and complexities and how enterprises can become more effective.

Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT

Technical Insights: Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI

Sumit Agarwal, Sr Director Analyst, Gartner

The use of predictive models creates trust challenges for enterprises. Model bias and lack of transparency are primary challenges for the trust gap. This session will demystify the approaches to mitigate bias and making the models explainable leveraging organizational people, improved processes and platform enhancements.

Tuesday, 08 November, 2022 / 12:00 PM - 12:45 PM AEDT

Roundtable: Strategies for Mitigating Risk in AI Decision Making

Erick Brethenoux, Distinguished VP Analyst, Gartner

AI is increasingly affecting a wide range of risk types, including model, compliance, operational, legal, reputational and regulatory risks. Many of these risks are new and unfamiliar in industries without a history of widespread analytics use and established model management. Building capabilities in AI risk management from the ground up from the development phase has its advantages but also poses challenges. In this lively interactive roundtable, we discuss approaches to incorporate risk management by design rather than an afterthought.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 08 November, 2022 / 03:30 PM - 04:00 PM AEDT

Use AI Maturity Model to Do the Right Things at the Right Time

Svetlana Sicular, VP Analyst, Gartner

How can organizations identify their own AI maturity level, find the next best actions and avoid common mistakes? Use Gartner AI maturity model to accelerate and optimize your AI strategy and implementations to achieve the best value, reduce risk and get to scalability quicker in AI programs. Learn how advancing the AI maturity is beneficial not just for the AI teams but also to the business.

Monday, 07 November, 2022 / 11:00 AM - 11:30 AM AEDT

How to Design a Data Fabric for Augmented Data Management and Integration

Ehtisham Zaidi, VP Analyst, Gartner

The data fabric is an emerging data management design to enable flexible and automated data access, integration and sharing. However, most organizations struggle with foundational questions regarding the data fabric:
1. What is the definition of a data fabric and how does it differ from the data mesh?
2. What are the key steps in designing a data fabric?
3. Can we buy the data fabric as a platform or should we build it?
This session will aim at answering for D&A leaders.

Monday, 07 November, 2022 / 11:00 AM - 11:30 AM AEDT

Decision Intelligence and Optimization Across Your Enterprise and Ecosystem

Svetlana Sicular, VP Analyst, Gartner

Competitive decision-making in the digital age must be contextual, continuous and connected. Silo data, silo decisions and silo mentality are not cutting it in today's global and highly interconnected business ecosystems. But how to overcome these and other hurdles? Which capabilities are needed? How do AI, decision modeling, real-time analytics, data fabrics and optimization come together in decision intelligence, the next big thing in data & analytics?

Monday, 07 November, 2022 / 04:00 PM - 04:30 PM AEDT

Top Trends in Data and Analytics for 2022

Ted Friedman, Distinguished VP Analyst, Gartner

Carlie Idoine, 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.

Tuesday, 08 November, 2022 / 02:00 PM - 02:30 PM AEDT

Raise Your AI Game With Graph Analytics and Machine Learning

Erick Brethenoux, Distinguished VP Analyst, Gartner

Top tech companies have utilized the power of graphs to power everything from fraud detection systems to recommendation engines and are now finding their way into use cases across industries. This session will introduce the concept of graph analytics and the algorithms used for finding hidden insights in your data that enhance decision making by making context king.

Tuesday, 08 November, 2022 / 02:00 PM - 02:45 PM AEDT

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

Ehtisham Zaidi, VP Analyst, Gartner

In this analyst/user discussion, we'll be talking all things Data Fabric. Data and analytics leaders should bring their questions and topics for exploration including how to get started, what are the best practices, and more. *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.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 08 November, 2022 / 03:30 PM - 04:00 PM AEDT

Edge, Internet of Things and Streaming Data: What to Know and How to Prepare

Ted Friedman, Distinguished VP Analyst, Gartner

Edge and IoT hold 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, new governance challenges and digital twins. Key points: How do edge and the IoT create new opportunities and challenges? What must D&A leaders do to drive adaptation? Which new capabilities will be critical to success?

Monday, 07 November, 2022 / 12:30 PM - 01:00 PM AEDT

12 Quick Actions to Improve Your Data Quality

Melody Chien, Sr Director Analyst, Gartner

High-quality, trusted data is critical for successful digital business initiatives. If data and analytics leaders are to enable a data-driven organization, they must take pragmatic and targeted actions to improve their enterprise data quality. There are 12 quick actions which help organizations achieve their data quality goals.

Monday, 07 November, 2022 / 12:30 PM - 01:15 PM AEDT

Ask The Expert: Where Do Data Hubs Fit In The Modern D&A Architecture?

Ted Friedman, Distinguished VP Analyst, Gartner

Data hubs are a different structure than data lakes and data warehouses – they represent a rising trend in how organizations enable more manageable and well-governed data flow in the enterprise. Data and analytics leaders need to understand the principles and value of data hubs, and determine how they can effectively leverage data hub patterns in their landscape of capabilities

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 07 November, 2022 / 02:30 PM - 03:00 PM AEDT

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

Ted Friedman, Distinguished VP Analyst, Gartner

Confusion persists regarding the role of data warehouses, data lakes and data hubs -- as well as emerging terms like “lakehouse.” They are not the same. While the names and terminology are less important than the principles and capabilities, D&A 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, 07 November, 2022 / 04:00 PM - 04:30 PM AEDT

The Future of Data Management is Always Active, Always On, and In the Cloud

Adam Ronthal, VP Analyst, Gartner

Data management to support analytics or operations has always had a significantly manual approach. Now, analytics and millions of sensors, devices and systems collecting data from operations are demanding even more data preparation, validation, assurance and trust. We explain how augmented data management is becoming real and what to expect in the next 3-5 years.

Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT

Utilize Self-Service Data Preparation to Augment Rising Data Engineering Challenges

Ehtisham Zaidi, VP Analyst, Gartner

Data preparation has matured rapidly from being focused on self-service analytics to now becoming an integral component and a critical capability in all enterprise data and analytics tools. Key topics:
-What is augmented data preparation and how has it evolved?
-What is the current state of the market and how will it evolve?
-How can you leverage data preparation capabilities ensuring governance and control?

Tuesday, 08 November, 2022 / 02:00 PM - 02:30 PM AEDT

The Foundation of Data and Analytics Is Cloud!

Adam Ronthal, VP Analyst, Gartner

The new data and analytics platform is the cloud. In this session, we will explore the state of the data and analytics platform (data management, BI/analytics/data science, data and analytics governance), the transition to cloud and its implications, and what it means to operate successfully in the cloud, or more likely, in multiple clouds.

Tuesday, 08 November, 2022 / 03:30 PM - 04:00 PM AEDT

Maximize Business Outcome By Adopting Modern Data Catalog with AI-enabled Metadata Capabilities

Mark Beyer, Distinguished VP Analyst, Gartner

Demand for data catalogs is soaring as organizations continue to struggle with finding, inventorying and analyzing vastly distributed and diverse data assets. D&A leaders must investigate and adopt modern data catalogs with AI-enabled metadata as part of their overall data management solutions strategy. This session addresses how to leverage modern data catalogs as a first step in enabling new data management for maximum business outcome.

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