Agenda
Our Gartner experts, who are at the top of their fields, helped attendees address their most critical challenges. These key topics kickstarted conversations around priorities and initiatives so that attendees could tackle what was most important to them.
Data and analytics leaders are expanding their sphere of influence and impact on the business. This track investigated critical topics such as unleashing innovation, redefining culture and building and managing creative teams.
Data and analytics functions have always been critical to organizations, but now they have taken center stage as vital to business strategy. This track explored how to prioritize data and analytics investments and develop a strategy to ensure success.
Diversity, privacy, sustainability and other societal concerns are now top of mind with consumers. This track provided guidance for putting trusted, agile data and analytics, and artificial intelligence (AI) governance practices in place.
Digital acceleration and agility require analytics to be infused into every role, business process, decision and action. This track addressed how to make analytics fundamental to all parts of the business in a trusted way.
Developing and operationalizing AI, data science and machine learning (ML) can be daunting. This track was dedicated to exploring the strategies, tools, technology trends, skills and roles needed for successful deployment.
Harnessing innovative technologies to change business models and define new ways to interact with and serve customers, partners, suppliers and employees is a top priority. This track explored emerging trends reshaping business today.
Digital acceleration requires that enterprises transition from being data-driven to being data-and-analytics-centric. This track explored how to architect disparate data and analytics capabilities across your various data and analytics vendors and solutions.
Data and analytics leaders are expanding their sphere of influence and impact on the business. This track investigates critical topics such as unleashing innovation, redefining culture and building and managing creative teams.
Monday, 07 November, 2022 / 09:00 AM - 10:00 AM AEDT
Sally Parker, Sr Director Analyst, Gartner
Peter Krensky, Director Analyst, Gartner
The session will begin with Welcome To Country.
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 / 10:45 AM - 11:15 AM AEDT
Donna Medeiros, Sr Director Analyst, Gartner
Society is polarizing, people live in filter bubbles, and business is suffering as a result. The social fracture can be witnessed all around us. It might come as a surprise to D&A leaders how incredibly relevant this is to D&A as well. In this keynote, we'll explore four provocative scenarios on how society could turn, and what D&A leaders must do to adapt to this situation, and succeed in the process.
Monday, 07 November, 2022 / 10:45 AM - 11:30 AM AEDT
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.
Monday, 07 November, 2022 / 10:45 AM - 11:45 AM AEDT
Jitendra Subramanyam, VP, Team Manager, Gartner
Mike Rollings, Distinguished VP Analyst, Gartner
Key insights from Gartner’s 8th Annual CDO Survey on the current state of the D&A function and where it’s headed. Benchmark your priorities, challenges and operating model with your peers. Learn about the key practices that separate good from great Data & Analytics organizations on their journey from data to digital and beyond.
Monday, 07 November, 2022 / 02:00 PM - 03:30 PM AEDT
Jitendra Subramanyam, VP, Team Manager, Gartner
Data & Analytics governance is not new. Yet it continues to dominate our time and sap our energy. At its core, successful governance requires making humans (our business partners) do something they are not currently doing. Using case studies from Royal Bank and Canada and Exact Sciences, this session showcases practical approaches to change the way humans behave to successfully govern D&A.
Monday, 07 November, 2022 / 02:15 PM - 02:45 PM AEDT
Mike Rollings, 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?
Monday, 07 November, 2022 / 03:45 PM - 04:30 PM AEDT
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.
Tuesday, 08 November, 2022 / 08:00 AM - 08:45 AM AEDT
Ian Bertram, Managing Vice President, Gartner
Andrew White, Distinguished VP Analyst, Gartner
The role of chief data and analytics officer is growing in influence and impact and it continues to evolve. Your success is characterised by your ability to provide measurable value to multiple stakeholders. Yet, how do you know where to focus your efforts and what’s expected in the year ahead, especially in times of great economic uncertainty?
Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT
Alan D. Duncan, 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?
Tuesday, 08 November, 2022 / 12:00 PM - 12:45 PM AEDT
Adam Ronthal, VP Analyst, Gartner
An executive-level discussion about how to align your D&A strategy and operating model to your organization’s cloud migration initiative.
Tuesday, 08 November, 2022 / 02:00 PM - 02:30 PM AEDT
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
Jitendra Subramanyam, VP, Team Manager, Gartner
Carlie Idoine, VP Analyst, Gartner
A showcase for select case studies from practitioners who have changed the culture of data-driven decision making. Followed by a discussion with your peers on practical techniques for improving the use of D&A in making business decisions.
Tuesday, 08 November, 2022 / 02:00 PM - 03:30 PM AEDT
Gareth Herschel, 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.
Tuesday, 08 November, 2022 / 03:45 PM - 04:15 PM AEDT
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.
Data and analytics functions have always been critical to organizations, but now they have taken center stage as vital to business strategy. This track explores how to prioritize data and analytics investments and develop a strategy to ensure success.
Monday, 07 November, 2022 / 10:45 AM - 12:15 PM AEDT
Gareth Herschel, VP 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.
Monday, 07 November, 2022 / 12:15 PM - 12:45 PM AEDT
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 / 12:15 PM - 01:00 PM AEDT
Alan D. Duncan, Distinguished VP Analyst, Gartner
How do you shift the discussion from enablement to value-based delivery? In this session we will explore how you as a CDO and your peers are changing the value conversation inside your enterprise.
Monday, 07 November, 2022 / 02:15 PM - 02:45 PM AEDT
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 / 02:15 PM - 02:45 PM AEDT
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 / 03:45 PM - 04:15 PM AEDT
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.
Monday, 07 November, 2022 / 03:45 PM - 04:30 PM AEDT
Mark Beyer, Distinguished VP Analyst, Gartner
In this session, we will discuss how to make the business case and get business buy-in for an enterprise data fabric.
Tuesday, 08 November, 2022 / 08:00 AM - 08:45 AM AEDT
Mike Rollings, Distinguished VP Analyst, Gartner
Bring your Data & Analytics operating model to stress test and improve it with your peers.
Tuesday, 08 November, 2022 / 10:30 AM - 11:00 AM AEDT
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 / 02:00 PM - 02:30 PM AEDT
Lydia Clougherty Jones, Sr Director Analyst, Gartner
Sharing data is a must for revenue growth, cost optimization, improved risk mitigation and accelerating digital business. The session focuses on the business imperative of data sharing, so less about tools and technology and more about global strategic best practices, helping D&A leaders modernize and align data sharing with stakeholder priorities, enterprise goals and organization benefit.
Tuesday, 08 November, 2022 / 03:45 PM - 04:15 PM AEDT
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?
Diversity, privacy, sustainability and other societal concerns are now top of mind with consumers. This track provides guidance for putting trusted, agile data and analytics, and artificial intelligence (AI) governance practices in place.
Monday, 07 November, 2022 / 12:15 PM - 12:45 PM AEDT
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.
Monday, 07 November, 2022 / 12:15 PM - 12:45 PM AEDT
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, 08 November, 2022 / 10:30 AM - 11:00 AM AEDT
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 / 10:30 AM - 11:15 AM AEDT
Lydia Clougherty Jones, Sr Director Analyst, Gartner
A conversation about practical steps you are taking to build a thriving market for sharing and monetizing data across organizational silos.
Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT
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.
Digital acceleration and agility require analytics to be infused into every role, business process, decision and action. This track addresses how to make analytics fundamental to all parts of the business in a trusted way.
Monday, 07 November, 2022 / 10:45 AM - 11:15 AM AEDT
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 / 12:15 PM - 12:45 PM AEDT
Aura Popa, Sr Director Analyst, 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 / 02:15 PM - 03:45 PM AEDT
Aura Popa, Sr Director Analyst, 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.)
Monday, 07 November, 2022 / 03:45 PM - 04:15 PM AEDT
Anirudh Ganeshan, Principal 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
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
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.
Tuesday, 08 November, 2022 / 12:00 PM - 12:30 PM AEDT
Anirudh Ganeshan, Principal 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
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?
Developing and operationalizing AI, data science and machine learning (ML) can be daunting. This track is dedicated to exploring the strategies, tools, technology trends, skills and roles needed for successful deployment.
Monday, 07 November, 2022 / 10:45 AM - 11:15 AM AEDT
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 / 02:15 PM - 02:45 PM AEDT
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 / 02:15 PM - 03:00 PM AEDT
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.
Tuesday, 08 November, 2022 / 10:30 AM - 11:00 AM AEDT
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
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
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.
Tuesday, 08 November, 2022 / 03:45 PM - 04:15 PM AEDT
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.
Harnessing innovative technologies to change business models and define new ways to interact with and serve customers, partners, suppliers and employees is a top priority. This track explores emerging trends reshaping business today.
Monday, 07 November, 2022 / 10:45 AM - 11:15 AM AEDT
Guido De Simoni, Sr Director 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 / 10:45 AM - 11:15 AM AEDT
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 / 03:45 PM - 04:15 PM AEDT
Carlie Idoine, VP Analyst, Gartner
Ian Bertram, Managing Vice President, 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
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
Mark Beyer, Distinguished 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.
Digital acceleration requires that enterprises transition from being data-driven to being data-and-analytics-centric. This track explores how to architect disparate data and analytics capabilities across your various data and analytics vendors and solutions.
Monday, 07 November, 2022 / 12:15 PM - 12:45 PM AEDT
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 / 12:15 PM - 01:00 PM AEDT
Andrew White, 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
Monday, 07 November, 2022 / 02:15 PM - 02:45 PM AEDT
Adam Ronthal, 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 / 03:45 PM - 04:15 PM AEDT
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
Guido De Simoni, Sr Director 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
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 / 03:45 PM - 04:15 PM AEDT
Melody Chien, Sr Director 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.