Monday, 08 June, 2020 / 08:15 AM - 09:00 AM IST
Frank Buytendijk, 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 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, 08 June, 2020 / 11:15 AM - 12:00 PM IST
Jitendra Subramanyam, VP, Team Manager, Gartner
This presentation will showcase practical techniques from Data and Analytics organizations to get started and rapidly generate business value with advanced analytics. Topics include how to promote the benefits of advanced analytics to business partners and how you escape the expectation hype so you can communicate and execute on the real promise of advanced analytics.
Monday, 08 June, 2020 / 02:30 PM - 03:15 PM IST
Frank Buytendijk, 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?
Monday, 08 June, 2020 / 04:30 PM - 05:00 PM IST
Saul Judah, VP Analyst, Gartner
A data-driven culture is key to the success of data and analytics teams. But unless your culture is risk-aware, your investments in data and analytics are exposed to greater risk. This session will discuss why a risk-aware culture will help data and analytics leaders deliver better business value, and five actions they can take to improve their data and analytics risk culture.
Monday, 08 June, 2020 / 06:00 PM - 06:30 PM IST
Kurt Schlegel, VP Analyst, Gartner
Virtually every major sports league around the world has aggressively adopted data and analytic capabilities to improve the performance of their players and teams, as well as increase revenue and improve the customer experience. These efforts offer Business Analytic leaders a treasure trove of best practices and lessons learned particularly around data story telling. In particular, this 30 minute presentation will cover two key issues:
1) Best Practices: Adopt the analytic best practices pioneered by sports leagues around the world (e.g. quantified self, real time decision making, location intelligence, and forecasting).
2) Communication: Use sports analytics as a way to communicate the value and importance of business analytics.
Tuesday, 09 June, 2020 / 10:15 AM - 11:00 AM IST
Jorgen Heizenberg, Sr Director Analyst, Gartner
Fresh hot roles for the information-savvy organization are emerging to help organizations become more data-driven. New skills and competencies are required for existing roles to adapt to the changing role of data and analytics. This session will highlight the key roles and responsibilities in data and analytics to be ready for the digital business and the impact on the organization model. Key issues: What’s happening in data and analytics that is forcing change? What’s the impact on the organization? What’s the impact on roles and skills?
Tuesday, 09 June, 2020 / 12:00 PM - 12:45 PM IST
Frank Buytendijk, Distinguished VP Analyst, Gartner
What are leading organizations in Data and Analytics doing that others can learn from? How do they organize? How do they find and retain the right skills? What does their delivery model look like? How do they focus on creating business value? Attend this session and learn from the interviews Gartner has been conducting.
Tuesday, 09 June, 2020 / 02:15 PM - 02:45 PM IST
Lydia Clougherty Jones, Sr Director Analyst, Gartner
Data and Analytics Leaders struggle to define and illustrate data monetization. How do you convince your stakeholders that data monetization is "not" about data selling, but instead about data value? Are you using industry use cases to enable better communication for data monetization support and funding? This session will clarify data monetization misconceptions, identify opportunities to create internal efficiencies and drive new revenue, and illustrate cross-industry success stories.
Tuesday, 09 June, 2020 / 03:00 PM - 03:45 PM IST
W. Roy Schulte, Distinguished VP Analyst, Gartner
Companies are transforming the way they make business decisions by using combinations of machine learning, business rules and optimization. Decisions are designed from a business point of view. End users play a big role in authoring rules and analytics.
What are the key product innovations?
How are decision models different from analytical models?
What are best practices for decision management?
Monday, 08 June, 2020 / 11:15 AM - 12:00 PM IST
Ehtisham Zaidi, Sr Director Analyst, Gartner
Data and analytics leaders are often tasked to investigate, adopt and later integrate a huge number of data management "point solutions" and tools for their operational and analytical use case requirements. This often leads to redundant purchases, integration challenges and derailed projects. Convergence in data integration, data quality, data preparation, data cataloging and other tools is paving a way for a core active metadata informed and ML-enabled dynamic data fabric design that can potentially transform data management and integration. This session covers:
1. What does a data fabric architecture mean for data and analytics leaders and how can they enable it?
2. What are the vendors and market offerings that can potentially fast track a data fabric design?
3. How can data and analytics leaders enable a data fabric without disrupting existing architectures and without creating a governance chaos?
Monday, 08 June, 2020 / 12:15 PM - 01:00 PM IST
Donald Feinberg, Distinguished VP Analyst, Gartner
Data is the core asset of all organizations. Enabling the use of data across the enterprise and outside the organization has become an imperative. The database management market is undergoing a rapid and profound transition to the cloud, as the supporting technology is changing. Cloud and dbPaaS has become the platform of choice and pricing models are under pressure from both open-source and the cloud.
What is driving the data infrastructure transformation to new technologies, cloud platforms and cost models?
How are existing technologies changing and what new technologies are emerging to support this transformation?
What are the vendors doing to address the shift to the cloud and how will the market evolve?
Monday, 08 June, 2020 / 02:30 PM - 03:15 PM IST
Rick Greenwald, Sr Director Analyst, Gartner
The increased adoption of multicloud and intercloud deployments in support of data management solutions has important implications for data and analytics strategies. Data and analytics leaders must prepare for these impacts now, to ensure optimal use of cloud resources. How can you leverage the new cloud ecosystems effectively? What are the trade-offs between choice and the complexity it entails?
Monday, 08 June, 2020 / 06:00 PM - 06:30 PM IST
Mark Beyer, Distinguished VP Analyst, Gartner
This magic quadrant session discuss key trends and will highlight the results of the Data Integration and Master Data Management (MDM) magic quadrants.
Tuesday, 09 June, 2020 / 10:15 AM - 11:00 AM IST
Ehtisham Zaidi, Sr Director Analyst, Gartner
Data preparation has matured rapidly in the last two years from being focused on self-service analytics to now becoming an integral component and a critical capability in almost all enterprise data and analytics tools. Key topics addressed:
1. What is augmented data preparation, and how has it evolved to support enterprise data integration, analytics/BI and data science needs?
2. What is the current state of the market, and how will it evolve?
3. How can you best leverage data preparation capabilities, while at the same time ensuring governance and control?
Tuesday, 09 June, 2020 / 12:00 PM - 12:30 PM IST
Rick Greenwald, Sr Director 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. This session explains:
● 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, 09 June, 2020 / 02:15 PM - 02:45 PM IST
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, 09 June, 2020 / 03:00 PM - 03:45 PM IST
Mark Beyer, Distinguished VP Analyst, Gartner
Organizations are confused (most often by vendors) who overcomplicate siloed approaches to data and analytics governance and integration. An effective data hub strategy is not complicated; it is a synthesis of best practices that can help you succeed with D&A governance and data integration, while simplifying your infrastructure. This session covers:
- What is a data hub and why is It NOT the same as a data warehouses or data lake?
- What is a data hub strategy and how does it add value to your organization?
- What are the critical starting points for a data hub strategy?
Monday, 08 June, 2020 / 08:15 AM - 09:00 AM IST
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, 08 June, 2020 / 11:15 AM - 12:00 PM IST
W. Roy Schulte, Distinguished VP Analyst, Gartner
Real-time analytics are going mainstream to support time-sensitive customer engagement, supply chain, banking, government and other applications. New technologies and architectures change the job of data and analytics leaders.
What benefits does continuous intelligence bring? How does stream processing differ from conventional analytics and BI? What are five best practices for real-time analytics?
Monday, 08 June, 2020 / 12:15 PM - 01:00 PM IST
Jorgen Heizenberg, Sr Director Analyst, Gartner
The future of data and analytics requires line of business data and analytics being pervasive in your organization – incorporated into all key decisions across all business functions – such as marketing, HR and industry verticals such as telco, banking for speed, creativity and innovation. What does data and analytics means for the business functions today? How to deepen business function collaboration with IT? How to elevate business-led data and analytics solutions?
Monday, 08 June, 2020 / 02:30 PM - 03:15 PM IST
Julian Sun, Director Analyst, Gartner
Analytics and BI platforms are rapidly transforming from focusing on enabling the analyst to augmenting the consumer. This is being driven by a convergence of capabilities including, conversational and consumer experiences and augmented analytics, a disruptive trend that leverages machine automation and AI to transform how data is prepared, how insights are generated and shared and how data science and ML models are created and operationalized. This presentation provides insight into how you can prepare for and leverage these market disruptions in your organization.
Monday, 08 June, 2020 / 04:30 PM - 05:00 PM IST
Alexander Linden, VP Analyst, Gartner
How can storytelling help get your projects approved, and then finally adopted. We discuss the four essential patterns of storytelling in data science:
How to create the right sense of urgency?
How to justify the ROI of AI/ data science projects?
How to do prototyping?
Tuesday, 09 June, 2020 / 10:15 AM - 11:00 AM IST
Austin Kronz, Sr Principal Analyst, Gartner
The Business-Driven Analytics Architecture is more than technology. It includes the design and implementation of an extended data and analytics ecosystem spanning from technology, to data, people, processes and business outcomes. Learn how to:
- Select and prioritize Data and Analytics capabilities deployment based on required business outcomes
- Design the implementation roadmap for a comprehensive data and analytics ecosystem
Tuesday, 09 June, 2020 / 12:00 PM - 12:45 PM IST
Julian Sun, Director Analyst, Gartner
Self-service analytics is a balancing act between user autonomy and centralized governance that many organizations struggle to deliver. Learn practical steps to drive your self-service initiative from inception to mastery.
Learn how to:
- Enable self-service analytics with autonomy and governance
- Expand the audience, data volumes and analytics complexity
- Evolve to new use cases with greater business impact
Tuesday, 09 June, 2020 / 02:15 PM - 02:45 PM IST
Jorgen Heizenberg, Sr Director Analyst, Gartner
Data and Analytics leaders often lack the internal resources or skills needed to speed up and scale D&A and support digital transformation and they look for external support. Although the Data and Analytics services market is mature, it is also facing disruption, changing the behavior of many system integrators and consultancy companies. So how do D&A leaders find and choose from hundreds of possible services providers? A market four times the size of the Data and Analytics software market.
Key Issues: When and why do I need an external service provider? How can I find and select a third-party service provider? How to manage the relationship?
Tuesday, 09 June, 2020 / 03:00 PM - 03:45 PM IST
Gareth Herschel, VP Analyst, Gartner
Improving customer experiences and relationships is one of the largest drivers of analytic adoption. The diversity of opportunities to apply analysis to drive improved understanding of customers can be daunting so this session will help organizations prioritize their customer analytic strategy. This session examines:
- What should you be doing already?
- What should you be doing next?
- What should you be planning for?
Monday, 08 June, 2020 / 08:15 AM - 09:00 AM IST
Peter Krensky, Director Analyst, Gartner
This session will provide a high-level introduction to data science and machine learning and their proper function in a data-driven organization. Content will include hype vs. reality, key trends, proven use cases and an overview of leading technologies. How do data science and machine learning fit within both the organization’s analytics and AI strategies? What are the early steps data and analytics leaders should take to invest in data science and machine learning? What do successful data science and machine learning initiatives look like?
Monday, 08 June, 2020 / 11:15 AM - 12:00 PM IST
Mark Beyer, Distinguished VP Analyst, Gartner
Struggling to keep up with challenges to optimally connect and orchestrate data — across ecosystems, platforms and "things”, data management teams increasingly turn to AI techniques to power highly adaptive data management infrastructure. What challenges are creating a need for AI in data management? How will AI impact data management? How will AI augmentation enhance data management infrastructure?
Monday, 08 June, 2020 / 12:15 PM - 12:45 PM IST
Alexander Linden, VP Analyst, Gartner
The lack of training data is one biggest showstoppers for machine learning projects. We discuss best practices to remedy that situation: from data synthesis, active learning and crowd-sourcing to data pooling and scrutinizing current data collection strategies.
* Why is the lack of training data such a profound problem?
* What are the key methods to remedy this situation?
Monday, 08 June, 2020 / 02:30 PM - 03:15 PM IST
Donald Feinberg, Distinguished VP Analyst, Gartner
Gareth Herschel, VP Analyst, Gartner
AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented analytics tools to the use of continuous intelligence to interpret streams of data from IoT or the potential of intuitive interfaces, there is rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to prioritize the innovations that will drive digital business.
Monday, 08 June, 2020 / 02:30 PM - 03:30 PM IST
Peter Krensky, Director Analyst, Gartner
This session will provide attendees an opportunity to see analytic tools being applied in a controlled, consistent setting via a demonstration of product capabilities. Vendors will demonstrate their platform capabilities based on a guided script and common format in a moderated setting using the pre-determined dataset. This session is educational to help prospective buyers and influencers understand the analytic process and the look, feel, use and application of each tool.
Monday, 08 June, 2020 / 06:00 PM - 06:30 PM IST
Peter Krensky, Director Analyst, Gartner
This session will cover trends and best practices around managing and developing not only data scientists, but the entire skills mix necessary to build successful data science teams: Data engineers, developers, machine learning specialists and domain experts. 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 machine learning? What are the organizational principles for placing data science teams?
Tuesday, 09 June, 2020 / 10:15 AM - 11:00 AM IST
Donald Feinberg, Distinguished VP Analyst, Gartner
The new data and analytics platform is the cloud. Cloud service providers and independent software vendors are providing the basis for a new cloud based ecosystem. 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, 09 June, 2020 / 12:00 PM - 12:45 PM IST
Alexander Linden, VP Analyst, Gartner
We discuss various myths and pitfalls of AI - especially around machine learning and discuss best practices of how to navigate/ solve them. Find out what are the top 10 myths and the top 10 pitfalls in AI?
Tuesday, 09 June, 2020 / 02:15 PM - 02:45 PM IST
Austin Kronz, Sr Principal Analyst, Gartner
Peter Krensky, Director Analyst, Gartner
This magic quadrant session discuss key trends and will highlight the results of the Analytics and BI and Data Science and ML magic quadrants.
Tuesday, 09 June, 2020 / 03:00 PM - 03:45 PM IST
Alexander Linden, VP Analyst, Gartner
Graph techniques have been around for decades, but in the last year, the application of graph processing and graph databases have been continuously accelerating to enable more complex and adaptive data science. Knowledge graphs and semantic networks are capturing essential business relationships between logical concepts and entities such as organizations, people and transactions; while enabling critical business discoveries.
Monday, 08 June, 2020 / 08:15 AM - 09:00 AM IST
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, 08 June, 2020 / 11:15 AM - 12:00 PM IST
Simon Walker, 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?
Monday, 08 June, 2020 / 12:15 PM - 01:00 PM IST
Ankush Jain, Sr Principal Analyst, Gartner
Quality insights required by digital business depend on trusted, high-quality data. However, data quality is often treated as after-thought inconvenience. Effective data quality programs involve not just technology and tools; it requires a comprehensive framework with foundational building blocks in metrics, processes, rules and policy, and responsibilities. All these pieces are working together as whole to drive continuous improvement.
Monday, 08 June, 2020 / 02:30 PM - 03:15 PM IST
Ehtisham Zaidi, Sr Director Analyst, Gartner
This session addresses how data and analytics leaders can investigate and adopts modern ML-enabled data catalogs to inventory distributed and often siloed data assets as a first step in enabling new data management, analytics and data science use cases.
Key issues addressed:
1. What are machine-learning-enabled catalogs and how are they different from previous IT led metadata management projects?
2. What are the key capabilities, use cases and user persona for data catalogs?
3. What are the market offerings in this space, their various segments and which offering would make sense according to your existing use- case requirements?
4. How can data and analytics leaders create a wholesome strategy to embed data cataloging into their data management infrastructure?
Monday, 08 June, 2020 / 04:30 PM - 05:00 PM IST
Robert Thanaraj, Sr Principal Analyst, Gartner
The intense focus on data scientists has distracted organizations from an essential element of their analytics success — the delivery of quality data ready for analysis. This session explores the role of the data engineer and how it contrasts with the data scientist. It also discusses the required skills and organization. Specifically, this session covers:
● What do data engineers do, anyway?
● What are the necessary data engineering skills?
● Where do data engineers fit in your data and analytics program?
Monday, 08 June, 2020 / 06:00 PM - 06:30 PM IST
Lydia Clougherty Jones, Sr Director Analyst, Gartner
Data sharing without trust can undermine even the most brilliant data and analytics strategy. Trusted data sharing done well can create cost-savings and drive new revenue, resulting in unique competitive advantage within an overly hyped data protection environment.
How do D&A leaders build thoughtful data sharing programs while facing data hoarding, data hijacking and privacy shaming?
Which digital trust technologies support trusted data sharing without compromising data availability?
Data and Analytics leaders can use these five insights to pursue trusted data sharing while adhering to business confidentiality norms and consumer privacy best practices.
Tuesday, 09 June, 2020 / 10:15 AM - 11:00 AM IST
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. Gartner ties together governance, management, quality, integration and more, to reveal a distributed integration approach that releases data from the tyranny of location.
Tuesday, 09 June, 2020 / 03:00 PM - 03:45 PM IST
Simon Walker, Director Analyst, Gartner
Realizing the promise of MDM is complex and costly. As a technology-enabled business initiative the challenge cannot be met by software alone - period. Can the promise of MDM be met through alternate approaches? Is MDM a right-sized solution? This session explores the foundations required for success and helps data and analytics leaders make informed decisions by comparing available choices against strategic goals.
Monday, 08 June, 2020 / 08:15 AM - 09:00 AM IST
Jitendra Subramanyam, VP, Team Manager, Gartner
Attending an Orientation Session is the best way to start your experience at Gartner Data & Analytics Summit. Whether you’re attending for the first time, or you’re a seasoned veteran, this session highlight the new features and activities we have incorporated into the event. PLEASE NOTE: Reserved for CDO Circle participants only.
Monday, 08 June, 2020 / 02:30 PM - 04:00 PM IST
Jitendra Subramanyam, VP, Team Manager, Gartner
Donna Medeiros, Sr Director Analyst, Gartner
Gartner’s fifth annual CDO survey explores the business impact of the Data & Analytics function and its evolution from a service function to a strategic value center. Clearly, Data & Analytics leaders are at the heart of digital transformation efforts and it is apparent that changes to strategy, culture, delivery models and data fundamentals are required. Attendees will engage with their peers to discuss the current state of the Data & Analytics function and recipes for personal and team success.
*** Facilitated by Gartner research analysts with executive table discussion. PLEASE NOTE: Reserved for CDO Circle participants only.
Monday, 08 June, 2020 / 04:30 PM - 05:30 PM IST
Donna Medeiros, Sr Director Analyst, Gartner
Many CDOs are new to artificial intelligence (AI) and exploring how to use it effectively as part of their mission. Participants in this exclusive roundtable will discuss their challenges in pursuing AI. The discussion can range from how to organize, skills, platform selection, AI governance and special techniques. PLEASE NOTE: Reserved for CDO Circle participants only.
Tuesday, 09 June, 2020 / 10:15 AM - 11:00 AM IST
Your exclusive opportunity to meet with Tané Hunter to ask questions and share your thoughts with regards to his keynote session.
Tuesday, 09 June, 2020 / 02:15 PM - 03:45 PM IST
Jitendra Subramanyam, VP, Team Manager, Gartner
Donna Medeiros, Sr Director Analyst, Gartner
The quest to generate value from data and analytics assets is stressing enterprise skills and competencies, legacy organizational approaches and the delivery models used to capture value. At the same time, organizations must rapidly become adept at identifying innovations, the right business actions, the decisions to take, how to employ D&A assets and managing the opportunity portfolio to maximize value. This session will discuss changes to the D&A operating model, allowing ample time to learn best practices for maximizing value capture from your peers.
*** Facilitated by Gartner research analysts with executive table discussion. PLEASE NOTE: Reserved for CDO Circle participants only.