Monday, 19 September, 2022 / 09:30 AM - 10:15 AM IST
Ehtisham Zaidi, VP Analyst, Gartner
Shubhangi Vashisth, 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, 19 September, 2022 / 11:00 AM - 11:30 AM IST
Saul Judah, 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, 19 September, 2022 / 11:00 AM - 12:30 PM IST
Jitendra Subramanyam, VP, Team Manager, 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, 19 September, 2022 / 02:30 PM - 03:00 PM IST
Jorgen Heizenberg, 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, 19 September, 2022 / 02:30 PM - 04:00 PM IST
Jitendra Subramanyam, VP, Team Manager, 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.
Monday, 19 September, 2022 / 04:15 PM - 04:45 PM IST
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, 20 September, 2022 / 10:30 AM - 11:00 AM IST
Alan D. Duncan, Distinguished VP Analyst, Gartner
Alignment of data and analytics with measurable business outcomes should be straightforward, right? Yet articulating, tracking and capturing business value remains a challenge. We know that “showing measurable value is hard.” But we also know that it can be done. This session will show how to build value stories, how to rank and prioritize initiatives and how to quantify value.
Tuesday, 20 September, 2022 / 12:00 PM - 12:30 PM IST
Jorgen Heizenberg, VP Analyst, Gartner
The number of data and analytics employees leaving their jobs voluntarily keeps increasing. Adding skills and experience to job profiles can dramatically reduce the chance of finding the right resource. Only four technical requirements and three years of experience eliminate 98% of the candidate pool. This session gives data and analytics leaders a more structured approach to recruiting and retaining talent, for both short and long term.
Tuesday, 20 September, 2022 / 02:00 PM - 02:30 PM IST
Saul Judah, VP 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, 20 September, 2022 / 02:00 PM - 03:30 PM IST
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.
Tuesday, 20 September, 2022 / 03:30 PM - 04:00 PM IST
Gareth Herschel, VP Analyst, Gartner
Your choice of consulting partner can make or break your data and analytics project. This session will provide practical guidance to help you make the best selection of service providers to maximize the chances of success.
Monday, 19 September, 2022 / 11:00 AM - 11:30 AM IST
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, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Anirudh Ganeshan, Principal 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?
Tuesday, 20 September, 2022 / 02:00 PM - 02:30 PM IST
Rita Sallam, Distinguished VP 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.
Monday, 19 September, 2022 / 11:00 AM - 11:30 AM IST
Rita Sallam, Distinguished VP Analyst, Gartner
Data and analytics platforms are emerging everywhere from data management to data science and now D&A governance. But greater forces, namely cloud, will force those platforms to converge further into seamlessly integrated data and application workflows. In this session, you will learn how the worlds of D&A collides with market dynamic and how the result will help you scale digital business and drive greatest business impact. Learn how to leverage this dynamic to build an architecture designed for faster time to insight, agility and lower cost, despite vendor-lock in.
Monday, 19 September, 2022 / 12:30 PM - 01:00 PM IST
Robert Thanaraj, Director Analyst, Gartner
Analytics relies on successful data foundation; it must be backed with right data and processes. Data engineering is the discipline of translating data into usable forms. Specifically, this session covers:
1. Data Engineering, DataOps, Data Engineer: The Basics
2. Three Emerging Best Practices You Must Investigate
3. How To Formalize and Scale Data Engineering Practice
Monday, 19 September, 2022 / 02:30 PM - 03:00 PM IST
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, 19 September, 2022 / 02:30 PM - 03:15 PM IST
Sumit Pal, VP Analyst, Gartner
We'll be talking about data management in the cloud. Data and analytics leaders should bring their questions and topics for exploration including choosing the right service offering, pricing models, financial governance, hybrid cloud strategies, 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)
Monday, 19 September, 2022 / 04:15 PM - 04:45 PM IST
Sumit Pal, VP Analyst, Gartner
Data and analytics leaders need to understand the big picture of real-time analytics. Extracting value from streaming data requires combining stream analytics, messaging systems such as Kafka, and high performance DBMSs.
What should mainstream organizations do about stream analytics?
When is real-time the “right time”?
How do stream analytics differ from conventional BI and ML?
Monday, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Sharat Menon, 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?
Monday, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Chirag Dekate, VP Analyst, Gartner
Cloud platforms provide unique challenges and opportunities to design and architect an optimal Data and Analytics architecture resolving through complex data management and analytics use cases such as logical data warehouse, serverless and streaming technologies, analytics and data science tools. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive data and analytics ecosystem that includes native, hybrid and multicloud use-case scenarios.
Monday, 19 September, 2022 / 05:00 PM - 05:45 PM IST
Robert Thanaraj, Director Analyst, Gartner
When technology boundaries covered new grounds, we gave them different names such as Data Catalog, Data Virtualization, Logical Data Warehouse, Knowledge Graph, Data Hub, Data Fabric. However, there is a great deal of overlapping capabilities and missing gaps. This session will raise awareness of various technology components and eventually enable D&A leaders build their digital enterprise.
Tuesday, 20 September, 2022 / 10:30 AM - 11:00 AM IST
Robert Thanaraj, Director 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, 20 September, 2022 / 12:00 PM - 12:30 PM IST
Mayank Talwar, Principal 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?
Tuesday, 20 September, 2022 / 12:00 PM - 12:30 PM IST
Ehtisham Zaidi, VP Analyst, Gartner
Data fabrics are generally discussed regarding the technical benefits, efficiency, even elegance at times. We cover those design fundamentals, but we also answer the question--what does the business get out of it? We explain how data fabric implementations evolve slowly and how to align it with measured business benefits that can signal to continue or slow down.
Tuesday, 20 September, 2022 / 02:00 PM - 02:45 PM IST
Alan D. Duncan, Distinguished VP Analyst, Gartner
Data monetization refers to the process of using data to obtain quantifiable economic benefit. This roundtable will allow you to explore and share data monetization strategies with your industry peers, learn the systemic practices that enable discovery and implemention of new monetization opportunities and ways to introduce data-driven innovation to your organization.
Tuesday, 20 September, 2022 / 04:15 PM - 04:45 PM IST
Anirudh Ganeshan, Principal Analyst, Gartner
This presentation shares case studies of those that have built and are leveraging a composable architecture. The cases provide evidence of where composable, modular approaches are being applied, gaining traction and adding value. This presentation answers the questions "Why?" and "So What?" with regard to composable data and analytics and gives advice for how to get started
Tuesday, 20 September, 2022 / 04:15 PM - 05:00 PM IST
Robert Thanaraj, Director Analyst, Gartner
Many organizations have created a data lake but find it difficult to use and maintain. In this roundtable we will discuss the issues around data lake and what can be done to realize greater value. The discussion will encompass: 1. What the issues are seen with a data lake; 2. How to design a lake and configure its infrastructure for technical success; and 3. How to gain more business value from the data lake. *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, 19 September, 2022 / 11:00 AM - 11:30 AM IST
Svetlana Sicular, VP 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.
Monday, 19 September, 2022 / 02:30 PM - 03:00 PM IST
Chirag Dekate, VP Analyst, Gartner
AI must be applied effectively and widely to create significant value. It requires business engagement, best ML and AI practices alongside innovation, scaling and accelerating automation and operationalization practices. AI engineering helps bring in operational efficiency and economies of scale by ensuring reliability, reproducibility, and reusability toward building an augmented digital workspace.
Monday, 19 September, 2022 / 04:15 PM - 04:45 PM IST
Sumit Agarwal, Sr Director Analyst, Gartner
It is possible to manage 10 ML models manually. It may be possible to manage 100 models through scripts and alerts. But, managing 1000+ models requires an entirely different approach. The MLOps playbook provides a cohesive approach to bring together the three key elements toward a successful implementation.
Monday, 19 September, 2022 / 04:15 PM - 04:45 PM IST
Erick Brethenoux, Distinguished VP Analyst, Gartner
The warped perception around “self-learning” systems leads to a misconception that AI systems necessarily learn over time, automatically because they are "intelligent". Failed implementations generate much frustration as systems cannot fulfill unreasonable expectations. However, this capability is critical for the future. To build resilient business processes and flexible decision models, organizations need to integrate into their AI solution blueprints' capabilities leading to adaptive systems.
Monday, 19 September, 2022 / 04:15 PM - 05:00 PM IST
Farhan Choudhary, Principal 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.
Monday, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Pieter den Hamer, Sr Director Analyst, Gartner
AI holds great promise in the fight against global warming. Recent advances in AI open the door to new approaches for logistics optimization at the ecosystem scale, reducing energy consumption and waste in manufacturing, inventing sustainable materials and many other innovations. Although no miracle cure exists, both society and companies cannot permit themselves to ignore the incredible potential power of AI to face the most complex and most pressing issue of our time.
Tuesday, 20 September, 2022 / 10:30 AM - 11:00 AM IST
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, 20 September, 2022 / 10:30 AM - 11:00 AM IST
Erick Brethenoux, Distinguished VP Analyst, Gartner
Organizations are under pressure to make better business decisions, even as decisions become more complex. Data and analytics leaders must take the lead to apply decision models, ML, BI, optimization, business rules and other AI techniques for maximum benefit. Session includes:
• Trends in decision intelligence
• How to apply decision thinking
• The role of D&A in decision intelligence.
Tuesday, 20 September, 2022 / 10:30 AM - 12:00 PM IST
Chirag Dekate, VP Analyst, Gartner
CIOs and Senior IT Leaders can strategically leverage cloud services to accelerate productizing Enterprise AI. Cloud providers have curated a broad portfolio of AI-specific capabilities including APIs, SaaS and IaaS. Gartner has devised a strategy framework to help navigate selection of the right mix of cloud strategies to accelerate your productization of Enterprise AI.
Tuesday, 20 September, 2022 / 02:00 PM - 02:30 PM IST
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.
Tuesday, 20 September, 2022 / 02:45 PM - 03:15 PM IST
Farhan Choudhary, Principal 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.
Tuesday, 20 September, 2022 / 02:45 PM - 03:30 PM IST
Sumit Agarwal, Sr Director Analyst, Gartner
AI and ML models are often a black box and extremely hard to analyze and improve. Bring your questions about AI and ML models and discuss recommendations and best practices to improve the model performance.
Tuesday, 20 September, 2022 / 03:30 PM - 04:00 PM IST
Shubhangi Vashisth, Director Analyst, Gartner
The accelerating business environment and pandemic proved that lack of context is wreaking our business decision. To get a grip on the complexity of decisions and bridge the “context chasm”, D&A leader must harness a wide variety of data. Learn how multistructured analytics techniques and tools can enable context enriched analysis and make decision support a success.
Tuesday, 20 September, 2022 / 03:30 PM - 04:00 PM IST
Chirag Dekate, VP Analyst, Gartner
Data science teams fail to adopt agile methods and struggle to deliver the AI-based systems required in an innovative and dynamic environment. Delivering data science solutions iteratively and incrementally requires the data engineers, data scientists, and ML engineers to work closely and fully understand their roles and responsibilities as part of operationalizing the platform.
Tuesday, 20 September, 2022 / 04:15 PM - 04:45 PM IST
Pieter den Hamer, Sr Director 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, 19 September, 2022 / 01:40 PM - 02:00 PM IST
Sharat Menon, Director Analyst, Gartner
This session will help data and analytics leaders in their evaluation and adoption of data integration tools and technologies and analyzed in the latest Magic Quadrant for Data Integration Tools 2021. Key issues addressed:
1. What is the state of the data integration tools market - what are the key trends?
2. Which vendors were evaluated in the Magic Quadrant for Data Integration Tools?
3. Key strengths and cautions of vendors evaluated in the Magic Quadrant.
Monday, 19 September, 2022 / 04:15 PM - 04:45 PM IST
Sumit Pal, VP Analyst, Gartner
Data and analytics leaders need to understand the big picture of real-time analytics. Extracting value from streaming data requires combining stream analytics, messaging systems such as Kafka, and high performance DBMSs.
What should mainstream organizations do about stream analytics?
When is real-time the “right time”?
How do stream analytics differ from conventional BI and ML?
Monday, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Sharat Menon, 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?
Monday, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Anirudh Ganeshan, Principal 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?
Tuesday, 20 September, 2022 / 12:00 PM - 12:30 PM IST
Ehtisham Zaidi, VP Analyst, Gartner
Data fabrics are generally discussed regarding the technical benefits, efficiency, even elegance at times. We cover those design fundamentals, but we also answer the question--what does the business get out of it? We explain how data fabric implementations evolve slowly and how to align it with measured business benefits that can signal to continue or slow down.
Monday, 19 September, 2022 / 02:30 PM - 03:00 PM IST
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, 19 September, 2022 / 04:15 PM - 04:45 PM IST
Erick Brethenoux, Distinguished VP Analyst, Gartner
The warped perception around “self-learning” systems leads to a misconception that AI systems necessarily learn over time, automatically because they are "intelligent". Failed implementations generate much frustration as systems cannot fulfill unreasonable expectations. However, this capability is critical for the future. To build resilient business processes and flexible decision models, organizations need to integrate into their AI solution blueprints' capabilities leading to adaptive systems.
Monday, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Pieter den Hamer, Sr Director Analyst, Gartner
AI holds great promise in the fight against global warming. Recent advances in AI open the door to new approaches for logistics optimization at the ecosystem scale, reducing energy consumption and waste in manufacturing, inventing sustainable materials and many other innovations. Although no miracle cure exists, both society and companies cannot permit themselves to ignore the incredible potential power of AI to face the most complex and most pressing issue of our time.
Tuesday, 20 September, 2022 / 04:15 PM - 04:45 PM IST
Pieter den Hamer, Sr Director 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?
Tuesday, 20 September, 2022 / 04:15 PM - 04:45 PM IST
Anirudh Ganeshan, Principal Analyst, Gartner
This presentation shares case studies of those that have built and are leveraging a composable architecture. The cases provide evidence of where composable, modular approaches are being applied, gaining traction and adding value. This presentation answers the questions "Why?" and "So What?" with regard to composable data and analytics and gives advice for how to get started
Monday, 19 September, 2022 / 12:30 PM - 01:00 PM IST
Guido De Simoni, Sr Director Analyst, Gartner
Data and analytics governance has become more challenging as data straddles across edge, on-premises, and multiple cloud environments. New regulations are driving demand for effective data governance. This presentation will guide data and analytics technical professionals in building effective data governance frameworks.
Monday, 19 September, 2022 / 04:15 PM - 04:45 PM IST
Sumit Agarwal, Sr Director Analyst, Gartner
It is possible to manage 10 ML models manually. It may be possible to manage 100 models through scripts and alerts. But, managing 1000+ models requires an entirely different approach. The MLOps playbook provides a cohesive approach to bring together the three key elements toward a successful implementation.
Monday, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Chirag Dekate, VP Analyst, Gartner
Cloud platforms provide unique challenges and opportunities to design and architect an optimal Data and Analytics architecture resolving through complex data management and analytics use cases such as logical data warehouse, serverless and streaming technologies, analytics and data science tools. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive data and analytics ecosystem that includes native, hybrid and multicloud use-case scenarios.
Tuesday, 20 September, 2022 / 10:30 AM - 11:00 AM IST
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, 20 September, 2022 / 03:30 PM - 04:00 PM IST
Chirag Dekate, VP Analyst, Gartner
Data science teams fail to adopt agile methods and struggle to deliver the AI-based systems required in an innovative and dynamic environment. Delivering data science solutions iteratively and incrementally requires the data engineers, data scientists, and ML engineers to work closely and fully understand their roles and responsibilities as part of operationalizing the platform.
Monday, 19 September, 2022 / 11:00 AM - 12:30 PM IST
Ankush Jain, Sr Principal 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.
Monday, 19 September, 2022 / 12:30 PM - 01:00 PM IST
Guido De Simoni, Sr Director Analyst, Gartner
Data and analytics governance has become more challenging as data straddles across edge, on-premises, and multiple cloud environments. New regulations are driving demand for effective data governance. This presentation will guide data and analytics technical professionals in building effective data governance frameworks.
Tuesday, 20 September, 2022 / 12:00 PM - 12:30 PM IST
Sumit Pal, VP Analyst, Gartner
MDM is a business imperative, and a global pandemic, ongoing digital transformations, and supply chain disruptions are fueling this trend. Companies that embrace AI, Graph and other new technologies in MDM programs are out-accelerating their competitors and gaining market advantages. This session explores how data and analytics leaders can evolve their MDM programs to meet changing business needs.
Tuesday, 20 September, 2022 / 02:00 PM - 02:30 PM IST
Guido De Simoni, Sr Director 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, 20 September, 2022 / 03:30 PM - 04:15 PM IST
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.
Tuesday, 20 September, 2022 / 04:15 PM - 04:45 PM IST
Mayank Talwar, Principal 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.