Agenda / By Track


  • Track A / Leadership and Organization: Scale the People, Culture and Skills
  • Track B / Business Outcomes and Strategy: Make Value Pervasive
  • Track C / Master Data Management: Create a Common Understanding
  • Track D / Analytics: Drive Insight Into Every Action
  • Track E / Governance: Build a Foundation of Trust
  • Track F / Architecture and Technology: Renovate for Digital Transformation
  • Track G / Advanced Capabilities: Power Everything You Do With AI, Machine Learning and IoT
  • Track H / Innovation: Be The Next Disruptor
Track A / Leadership and Organization: Scale the People, Culture and Skills
Monday, March 5, 2018 / 10:45 AM - 11:30 AM

How to Create and Lead High-Performance Data and Analytics Teams

Alan D. Duncan, Research VP, Gartner

Data and analytics leaders are responsible for both information governance and data monetization. But as a relatively new function in many organizations, data and analytics teams (led by the CDO) are under the spotlight to produce high-quality results quickly and efficiently. What skills do we need for data and analytics? What emerging new roles should be considered? How do we organize for success?

Monday, March 5, 2018 / 2:00 PM - 2:45 PM

Unleash Creativity and Innovation in Your Team

Frank Buytendijk, VP & Gartner Fellow, Gartner

Creativity is one of hallmarks of high-performance teams. It enables you to innovate and stay ahead of the competition. But creativity and innovation can be lured, not demanded or bought. How do you free your own creativity, despite enormous pressure? How do you unleash your team’s creativity? How do you co-innovate beyond your immediate team's boundaries (e.g., with vendors, universities and business)?

Monday, March 5, 2018 / 4:00 PM - 4:45 PM

The State of Data and Analytics Roles and Organization — From Control to Collaborate

James Laurence Richardson, Research Director, Gartner

New roles have emerged over the last few years or new skills and competencies are required for existing roles. 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.

Tuesday, March 6, 2018 / 9:45 AM - 10:30 AM

Diversity in Data and Analytics Fuels Innovation on the Path to Digital Transformation

Debra Logan, VP & Gartner Fellow, Gartner

Data and analytics, the centerpiece of digital business transformation, is becoming pervasive in the organization. A lack of skills, bias and delivering on a mandate around innovation are key barriers to success. Data and analytics leaders have an opportunity to lead the rest of IT in leveraging diversity to address these challenges. What is the business case for diversity? Why is data and analytics better suited than other areas of IT to leverage diversity to achieve business objectives? What are the basic elements of a successful diversity and inclusion strategy?

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

From BI to AI: Focus on Business Outcomes to Architect Your Data and Analytics Platform

Joao Tapadinhas, Research VP, Gartner

From business intelligence to artificial intelligence, there is a broad range of analytics capabilities to pick from and myriad ways to connect them to deliver use cases. Apply the Gartner analytics evolution framework to shift focus from technology implementation to business outcomes impact. Learn how to architect a business-oriented data and analytics platform, and develop the analytics evolution roadmap to deliver it.

Tuesday, March 6, 2018 / 3:00 PM - 3:30 PM

How to Transform and Run Your Data and Analytics Organization Like a Startup

Jim Hare, Research VP, Gartner

Most data and analytics organizations are inwardly focused rather than operating their team like a startup. Leaders are now looking at ways to not only transform how the team thinks and acts but also at ways to drive innovation. In this thought-provoking session, data and analytics leaders will learn best practices on how to transform and run their organizations like a startup.

Wednesday, March 7, 2018 / 9:45 AM - 10:30 AM

Doing Good With Data: How to Impact Society and Create a “Data for Good" Culture

Cindi Howson, Research VP, Gartner

Consumers are increasingly buying from companies with a culture of doing good in the world and their communities. Do buyers also evaluate corporate ethics in technology buying? This session reviews case studies of customers and vendors that are impacting society. New survey data will show how much culture, ethics and diversity influence tech buying as well as performance and innovation in Analytics and BI vendors. The session also provides a framework on how your own company can start a similar initiative.

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

Soft Skills Are Hard! How to Establish a Data-Driven Culture.

Alan D. Duncan, Research VP, Gartner

Data and analytics are at the heart of digital business. Implementing modern analytics technology is challenging enough, but success also requires a shift in organisational culture — and influencing people to change is hard! This foundational session will explore the "soft" skills that every data and analytics leader needs to succeed. What does it mean to lead a data-driven organisation? How to overcome barriers to cultural change? How to implement data and analytics as a core driver of digital business?

Wednesday, March 7, 2018 / 3:00 PM - 3:30 PM

Five Best Practices Data and Analytics Leaders Can Learn From Spy Agencies

Jim Hare, Research VP, Gartner

The primary mission of a spy agency is to collect, analyze, and share intelligence to help government and military leaders make better informed strategic and tactical decisions. While the internal workings of most spy organizations is classified, much can be learned from best practices found in publicly available sources and applying it to the business world. A must attend session for data and analytics leaders looking to create the next world-class analytics organization.

Wednesday, March 7, 2018 / 3:00 PM - 3:30 PM

Information as a Second Language (ISL) — Enabling Data Literacy for Digital Society

Valerie A. Logan, Research Director, Gartner

Introducing the term ISL/I2L (information as a second language) as an umbrella for driving data literacy as a core, strategic business discipline. Why is it critical to assess diversity of your information and analytics community? How can you recognize areas inhibited by shared language? How can you take initial steps to bridge the communications gap and establish your ISL foundation?

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

Data-Driven Culture: CDOs Must Be the Chief Curiosity Officers for Their Organization

Alan D. Duncan, Research VP, Gartner

Traditional business models and process improvement methods are effectively siloed by design. We have developed an entire business operating model and business culture oriented towards executing the current process "do" rather than analyzing, understanding and changing "think". What role does the CDO play in encouraging a more curious business culture? How does data and analytics capability help CDOs to inject "think" into every aspect of the business? How do you communicate identified business challenges with courage and sensitivity?

Track B / Business Outcomes and Strategy: Make Value Pervasive
Monday, March 5, 2018 / 10:45 AM - 11:30 AM

Modern Data and Analytics Initiatives Require New Pricing Models and Negotiation Strategies

Ehtisham Zaidi, Principal Research Analyst, Gartner

With the increasing focus on cost optimization across data and analytics portfolios and the advent of newer technologies to renovate our data and analytics infrastructure, data and analytics leaders are often caught in a conundrum on how to balance the two. This session guides them through some of the most innovative and upcoming pricing trends, licensing models and best practices to negotiate with new and existing vendors with a goal to optimize costs.
Key issues:
• What is the current scenario in the data and analytics pricing landscape?
• What are the existing and upcoming pricing trends and new licensing models that you should be aware of?
• What are the best practices to negotiate with vendors to save millions?

Monday, March 5, 2018 / 2:00 PM - 2:45 PM

The Essentials of a Data and Analytics Strategy

Mike Rollings, Research VP, Gartner

Digital business demands that data and analytics strategy evolve from being solely a contributor to other business changes to instead provoking business transformation. Yet, many strategy efforts are insufficient to identify the transformational opportunities afforded by game-changing advances like predictive analytics and artificial intelligence. This session covers the essentials for a modern data and analytics strategy, ways to expand your strategy development repertoire, and emerging approaches that are near on the horizon.

Monday, March 5, 2018 / 4:00 PM - 4:45 PM

How to Select the Right Data and Analytics Service Provider?

Jorgen Heizenberg, Research Director, Gartner

Analytics leaders including CDO’s often lack the internal resources needed to speed up and scale analytic solutions that drive digital business value, and they need external support. How can they face the challenge of finding, and choosing from hundreds of possible service providers? This session focuses on when, how, and who to select as your data and analytics service provider, and how to manage the relationship.

Tuesday, March 6, 2018 / 9:45 AM - 10:30 AM

Linking Data to Outcome — Communicating the Value

Andrew White, VP Distinguished Analyst, Gartner

One of the greatest challenges with all data and analytics programs is how to demonstrate to business leaders the connection between data, its use, its governance and improvement in business outcomes. This research brings together the range of tools, template and toolkits needed to arm yourself with the necessary skills and capabilities.

Key issues:
• What is the role of data in improved business outcomes?
• How to connect data to outcome?
• Best practice for connecting data to outcome?

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

Magic Quadrant Power Session: Analytics and BI Platforms (ABI), Data Science & Machine Learning Platforms and Data & Analytics Service Providers

Carlie J. Idoine, Research Director, Gartner
Cindi Howson, Research VP, Gartner
Jorgen Heizenberg, Research Director, Gartner
Neil Chandler, Managing VP, Gartner

This session will go into the details behind the 2018 Magic Quadrants for ABI Platforms and Data Science and Machine Learning platforms and Data & Analytics Service Providers.

Tuesday, March 6, 2018 / 3:00 PM - 3:30 PM

Expanding Business Models for Data Value and Monetization

Lydia Clougherty Jones, Research Director, Gartner

Acquiring data access and data rights is crucial to digital business strategy. This research provides a roadmap for data and analytics leaders to develop a comprehensive contract and licensing model across the universe of data sources. What are data rights? How to acquire data from the business/consumer/government ecosystem? Best practices for linking rights, data use, value and monetization?

Wednesday, March 7, 2018 / 9:45 AM - 10:30 AM

Engaging Decision Makers Through Data Storytelling

James Laurence Richardson, Research Director, 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?

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

Real Truth of Artificial Intelligence

Whit Andrews, VP Distinguished Analyst, Gartner

Applications of machine learning are increasingly in reach of organizations willing to invest time to combine efforts with vendors and service providers to harness them. Learn how projects using "cognitive" and artificial intelligence technology have been developed, and how you'll know when they're ready for you.

• What is artificial intelligence?
• How will organizations benefit from artificial intelligence?
• How will organizations succeed in employing artificial intelligence?

Wednesday, March 7, 2018 / 3:00 PM - 3:30 PM

Why Privacy Is an Opportunity to Drive Data Value

Lydia Clougherty Jones, Research Director, Gartner

Privacy misperceptions about monetizing personal data needlessly constrain business value. This research shows data and analytics leaders how to correct these misperceptions. How do I recast privacy as a value-driven opportunity? What are best practices for updating privacy programs to enable the monetization of personal data? How do I engage stakeholders leery of monetizing personal data?

Thursday, March 8, 2018 / 8:00 AM - 8:45 AM

Data and Analytics Strategy Explorations: Strategy as a Process of Continuous Learning

Frank Buytendijk, VP & Gartner Fellow, Gartner

We've always viewed strategy as a rational top-down planning exercise and "learning" as fluffy and intangible. However, in becoming a digital business, operating in uncertain, agile and emergent environments, both views needs to merge. Strategy and continuous learning become one. What does this mean for your data and analytics strategy?

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

Drive Business Results and Improved CX With Customer Journey Analytics

Jason Daigler, Research Director, Gartner

Today’s customer is no longer loyal to individual channels. Instead, customers move from channel-to-channel and device-to-device frequently when engaging with companies. The challenge of linking together a series of discrete data points into a single, unified, meaningful journey is fundamental to delivering a strong relationship and customer experience.
This session will explore:
• What are the business benefits of understanding the “customer journey”?
• What are the best practices in the creation of customer journey analytics?
• How can you apply customer journey analytics to create better customer experience?

Track C / Master Data Management: Create a Common Understanding
Monday, March 5, 2018 / 10:45 AM - 11:30 AM

The Essentials of Master Data Management

Dimitris Geragas, VP Consulting, Gartner

This session will describe the foundational concepts for the discipline of master data management and the technology solutions that support it. What is master data and why is it important? What are the most common business benefits of successful MDM programs? What are the discipline and technology components of a successful MDM program?

Monday, March 5, 2018 / 2:00 PM - 2:45 PM

Accelerate MDM Business Value Using Gartner's MDM Implementation Styles

Bill O'Kane, Research VP, Gartner

As more enterprises accomplish successful MDM implementations, best practice roadmaps through Gartner’s MDM implementation styles are emerging. We'll cover typical roadmaps for both customer and product master data and their value to new and existing MDM programs.

Monday, March 5, 2018 / 4:00 PM - 4:45 PM

Opportunity and Promise — Application of ML and AI to MDM

Michael Patrick Moran, Research VP, Gartner

Machine learning (ML) and artificial intelligence (AI) promises substantive benefit to those that can intelligently leverage the capabilities. Learn about the opportunity and promise in their application to MDM. What are the prospective elements of MDM to which ML and AI can be applied? What are the benefits to organizations? What will delivery of ML and AI within packaged MDM solutions look like?

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

Maturing MDM to Achieve Maximum Business Benefits

Dimitris Geragas, VP Consulting, Gartner

Gartner's master data management (MDM) maturity model provides a framework to measure, and then progress, the maturity level of your organization's MDM capabilities. How is MDM being progressed today and how does this explain evolving MDM maturity? How can you use the Gartner MDM maturity model to develop your MDM program? How can you manage your MDM program to deliver optimal business results?

Tuesday, March 6, 2018 / 3:00 PM - 3:30 PM

Planning for and Impact of Cloud-Enabled MDM

Michael Patrick Moran, Research VP, Gartner

As cloud-based MDM becomes more widely available, data and analytics leaders should understand key planning factors and their impacts to support informed decision making. What are key factors that influence planning for cloud-based MDM? What are the impacts on software vendors and end users of cloud-based MDM solutions? How can the key factors be used to make informed decisions about whether and when to migrate to cloud-based MDM?

Wednesday, March 7, 2018 / 9:45 AM - 10:30 AM

Practicing MDM in the Absence of an Enterprise MDM Solution

Michael Patrick Moran, Research VP, Gartner

Gartner defines MDM as a practice and a discipline supported by enabling technology. Learn how you can practice MDM and set your organization up for success without the use of a packaged MDM solution. Why is MDM more than technology? What are the critical path dependencies that enable successful MDM practice? Can you make use of "enabling technologies“ other than enterprise MDM solutions to support your MDM requirements?

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

Gartner Magic Quadrant Power Session: Enterprise Data Management

Mark A. Beyer, VP Distinguished Analyst, Gartner
Merv Adrian, Research VP, Gartner
Roxane Edjlali, Research Director, Gartner
Michael Patrick Moran, Research VP, Gartner
Ian A. Bertram, Managing VP, Gartner

The old world of managing data just for transactions or just for analytics is being challenged. This session cuts across and through the old markets for data warehousing, master data management and data integration tools and covers the strengths of existing platforms as the evolve toward their new role to support broader data governance in the digital business era. The following Magic Quadrants will be presented: Data integration platforms, data warehouse and data management solutions for analytics, operational DBMS, data quality tools and MDM platforms.

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

The Impacts of GDPR on MDM: Why You Need a 360-Degree View of the Data Subject

Simon James Walker, Principal Research Analyst, Gartner

The General Data Protection Regulation will be enforced on 25 May 2018. Data and analytics leaders must urgently assess the impacts of this upon their information governance and MDM programs as the cumulative amount and sensitivity of personal data being processed makes for a high-risk environment.

Wednesday, March 7, 2018 / 3:00 PM - 3:30 PM

Top Four Reasons Your MDM Program Will Fail and How to Avoid Them

Bill O'Kane, Research VP, Gartner

Master data management implementation programs contain several diverse risk areas that must be recognized and addressed in order to ensure success. This session focuses on the four most common situations that cause unexpected issues, delays and program failure while attempting to implement MDM. What are the most common reasons for failure in MDM programs? What tools are available from Gartner to reduce or eliminate these risks? What are program best practices to ensure ongoing success in MDM programs?

Thursday, March 8, 2018 / 8:00 AM - 8:45 AM

End-to-End "Thing" Data — A Key to Success in IoT

Simon James Walker, Principal Research Analyst, Gartner

Maximization of IoT benefit — for both end users and vendors alike — will require an end-to-end master data capability spanning the distributed IoT architecture. Successful implementation of IoT capability requires more than data integration. What is the distributed IoT data architecture? Why is semantic consistency necessary? What are existing examples within the market to illustrate the benefits?

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

Why You Need MDM for an Optimal Customer Experience

Bill O'Kane, Research VP, Gartner

Master data management is a critical success factor in constructing optimal customer experiences. Learn the benefits of aligning the MDM discipline to CX and making it a part of your CX strategies. Why is MDM critical to the customer experience? How will MDM increase and optimize your 360-degree view and your CX capabilities? What new opportunities for managing customer information does MDM bring?

Track D / Analytics: Drive Insight Into Every Action
Monday, March 5, 2018 / 10:45 AM - 11:30 AM

Continuous Intelligence Drives Optimization in Your Digital Business. Start Now!

Melissa Davis, Research Director, Gartner

Data and analytics leaders need to embed real-time intelligence into all digital business processes. Continuous intelligence delivers value by providing situation awareness to make operations more efficient and effective.

• How does continuous intelligence provide business value?
• What are the key barriers and obstacles?
• What should data and analytics leaders do now?

Monday, March 5, 2018 / 2:00 PM - 2:45 PM

The Essentials of Modern BI and Analytics

Cindi Howson, Research VP, 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, March 5, 2018 / 4:00 PM - 4:45 PM

Augmented Analytics: Key Trends in Next Generation Analytics and BI Platforms You Need to Know

Rita L. Sallam, Research VP, Gartner

Augmented analytics is the next wave of data and analytics market disruption that automates insights from advanced analytics to augment every employee’s intelligence. In this session, we will discuss the impact of augmented analytics, the underlying technologies and how organizations should plan for this next disruption in analytics.

Tuesday, March 6, 2018 / 9:45 AM - 10:30 AM

The State of BI and Analytics: The Move Toward Automated Insights Generation

Joao Tapadinhas, Research VP, Gartner

The BI and analytics platform continues to evolve by offering more sophisticated analytics capabilities to a broader range of users, with easier and more automated self-service capabilities. From natural language processing to augmented data discovery, from data harmonization to automated predictive modelling, learn how the BI and analytics platform is evolving and how it can impact your business.

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

Magic Quadrant Power Session: Analytics and BI Platforms (ABI), Data Science & Machine Learning Platforms and Data & Analytics Service Providers

Carlie J. Idoine, Research Director, Gartner
Cindi Howson, Research VP, Gartner
Jorgen Heizenberg, Research Director, Gartner
Neil Chandler, Managing VP, Gartner

This session will go into the details behind the 2018 Magic Quadrants for ABI Platforms and Data Science and Machine Learning platforms and Data & Analytics Service Providers.

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

Value (for) Your Customer: What GDPR and General Privacy Mean for Consent and Analytics

Bart Willemsen, Research Director, Gartner

Does current privacy really mean you can't touch any data for analytics anymore, unless you have explicit consent? Of course not. But whether for marketing, service personalization or plain performance analytics, all have a potential privacy impact. Protecting privacy while retaining information value, means organizations must re-architect their analytics process design.

Tuesday, March 6, 2018 / 3:00 PM - 3:30 PM

The Convergence of Analytics Services and Software Into Servware – Take Advantage of It

Jorgen Heizenberg, Research Director, Gartner

Analytics service providers are adding software to their services. Analytics software vendors are adding services to their software. The result are packaged analytical solutions or Servware. This session explores the concept of Servware and highlights how data and analytics leaders can take advantage.

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

Machine Learning Is the New Hiring Manager

Ron Hanscome, Research VP, Gartner

New ways of automating decision making within the recruitment process through matching of talent supply and demand has the potential to revolutionize how we all get jobs. In this session, we will evaluate the various applications of machine learning in recruiting and staffing —
maturity, performance, impact and potential for transforming how hiring managers source talent.

Wednesday, March 7, 2018 / 3:00 PM - 3:30 PM

Achieve Self-Service Data and Analytics at Scale

Carlie J. Idoine, Research Director, Gartner

Many have embraced self-service data and analytics, but the success of implementations varies. This presentation will provide best practices and lessons learned to help evolve in a way that facilitates self-service at scale and eliminates self-serving approaches. The session will explore:

• What environment best supports a self-service approach?
• What, beyond technology, should be used to guide a self-service approach?
• What does the future of self-service data and analytics hold?

Thursday, March 8, 2018 / 8:00 AM - 8:45 AM

Top Trends in Analytics That Will Change Your Business

Gareth Herschel, Research VP, Gartner

From the growth of psychographics, different types of content analytics to the role of AI, graph analytics and streaming data, the role and practice of analytics is fundamentally changing. Understanding the business impact of these changes will allow organizations to define a new strategy for prioritizing and delivering the new capabilities that will drive the digital business.

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

Accelerate Your Move to Artificial Intelligence With Machine Learning as a Service

Carlton E. Sapp, Research Director, Gartner

The real power of advancing your AI strategy toward successfully delivering artificial intelligence (AI) technologies lies in data scientists, technology leaders and practitioners' ability to reduce complexity to simplicity using machine learning as a service (MLaaS). But what is MLaas? How can we leverage MLaaS to accelerate the delivery of AI-based technologies and drive the AI strategy? What best practices should we adopt?

Track E / Governance: Build a Foundation of Trust
Monday, March 5, 2018 / 10:45 AM - 11:30 AM

Are You Feeling Overwhelmed by Your Data? Excel at Metadata Management!

Roxane Edjlali, Research Director, Gartner
Guido De Simoni, Research Director, Gartner

Data and analytics leaders understand that data is an asset and that it is at the center of the digital business transformation, but organizations are struggling to effectively access, understand, manage and trust data in a flexible and agile manner. Moreover, with data everywhere and directly accessed by a growing number of users, growing regulatory and compliance requirements, data and analytics leaders can feel overwhelmed. Excelling at metadata management needs to become a core competency.

Monday, March 5, 2018 / 2:00 PM - 2:45 PM

The Essentials of Data and Analytics Governance

Jorgen Heizenberg, Research Director, Gartner

Governance lies within the critical path in realizing business benefit. Without governance issues such as data quality and integrity begin to manifest as "frictional forces" within business value chains. What are the essential elements of governance? What are the business benefits to the implementation of governance? How can organizations go about implementation of effective governance programs?

Monday, March 5, 2018 / 4:00 PM - 4:45 PM

Lifeguard Not on Duty: How to Make Your Data Lake Safe and Secure

Merv Adrian, Research VP, Gartner
Toby Bussa, Research VP, Gartner

Data lakes are complex environments that contain valuable corporate data, but security continue to lag behind other data repositories within an organization (e.g., RDBMS, file shares). How do I secure my data lake to reduce risk while minimizing impact on users? What security capabilities and controls should be implemented? Which teams need to be involved (e.g., security, risk management)?

Tuesday, March 6, 2018 / 9:45 AM - 10:30 AM

How to Create an Impactful Data Quality Program

Guido De Simoni, Research Director, Gartner

Quality insights required by digital business depend on trusted, high-quality data. However, data quality is often treated as after-thought inconvenience. How can data quality programs make high business impact from day one? What are the top trends of the modern data quality practices and tools? What does a successful data quality program look like?

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

The State of Data and Analytics Governance: Align Risk, Optimization and Data Value Initiatives

Kurt Schlegel, Research VP, Gartner

Governance is one of the most difficult challenges faced by organizations aiming to drive business value through data and analytics programs. This session discusses good, best and next practices for effective governance and addresses: What is the state of data and analytics governance today. How to better address governance issues to get back on track. Where is governance heading and how can we align with its trajectory.

Tuesday, March 6, 2018 / 3:00 PM - 3:30 PM

Everything You Need to Know About Data Ownership, Rights and Sovereignty (but Were Afraid to Ask)

Douglas Laney, VP Distinguished Analyst, Gartner

You may think you own your own data, but it’s likely the courts would not entirely agree. Nor do insurance organizations, governments or the accounting profession. The stakes are high and the risks may be higher for your organization if you don’t appreciate the nuances of information property rights.

Wednesday, March 7, 2018 / 9:45 AM - 10:30 AM

Adopt a Data Hub Strategy: Stop Blindly Integrating Data and Start With Governing It

Andrew White, VP Distinguished Analyst, Gartner

Organizations are starting to connect the dots with what started out as distinct and even separate programs across MDM, application data management, information stewardship, and governing data and analytics. This research explores and explains what a data hub strategy is and how you should introduce it to start to maximize investment in data and analytics and increase productivity.

• What are data integration hubs and how do they support data sharing and governance?
• How and where to start a data hub strategy?
• What are the best approaches to architect and deploy data hubs?

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

Gartner Magic Quadrant Power Session: Enterprise Data Management

Mark A. Beyer, VP Distinguished Analyst, Gartner
Merv Adrian, Research VP, Gartner
Roxane Edjlali, Research Director, Gartner
Michael Patrick Moran, Research VP, Gartner
Ian A. Bertram, Managing VP, Gartner

The old world of managing data just for transactions or just for analytics is being challenged. This session cuts across and through the old markets for data warehousing, master data management and data integration tools and covers the strengths of existing platforms as the evolve toward their new role to support broader data governance in the digital business era. The following Magic Quadrants will be presented: Data integration platforms, data warehouse and data management solutions for analytics, operational DBMS, data quality tools and MDM platforms.

Wednesday, March 7, 2018 / 3:00 PM - 3:30 PM

What's Wrong With Master Data Management? From MDM to Application Data Management.

Andrew White, VP Distinguished Analyst, Gartner

MDM is thought to be too big, too complex, only for large organizations, and too complex. As always, there is some truth into these issues but reality is now clearer. We explore a newer, better “road map” to link what business application data needs to governed and by whom for better business outcomes.
- What Went Wrong with MDM?
- What is Application Data Management?
- How can you get started with Application Data Management today?

Thursday, March 8, 2018 / 8:00 AM - 8:45 AM

"Get Privacy": Use GDPR as Foundation Guide for Data and Analytics Prerequisites.

Bart Willemsen, Research Director, Gartner

The GDPR raises the compliance bar and introduces a full set of organizational and procedural requirements before personal data can be properly handled. Sanction risks, customers in action, and pressure to deliver value don't have to kill your analytics capabilities. The proper approach to personal data management not only legitimizes your actions, but delivers customer value where it's valued: with the customer.

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

If You Still Trying to Control Your Data and Analytics Practice, You Probably Aren't Governing It

Thomas W. Oestreich, Managing VP, Gartner

"Traditional" governance concepts are mostly defensive and based on compliance focused control mechanisms. The abundance of data and analytics practice in almost any organization requires a new approach. To govern at the speed of business, an offensive value-based approach is required. What is governance versus compliance? How to get from truth to trust? How to drive adherence over enforcement?

Track F / Architecture and Technology: Renovate for Digital Transformation
Monday, March 5, 2018 / 10:45 AM - 11:30 AM

The Ever-Changing DBMS Landscape for Digital Business: How the Changes Affect You

Donald Feinberg, VP Distinguished Analyst, Gartner

Database management systems are rapidly evolving, complicating platform decisions. Open source, in-memory, cloud, multimodel, data virtualization and more are becoming pervasive and mature while the use cases, such as HTAP, big data and IoT are driving complexity.

Additionally, appliances are dying and new hardware platforms are emerging in support of DBMSs. We will examine all these trends and the technology necessary to support them.

• What are the use cases driving DBMS platform decisions?
• What is the future DBMS architecture?
• What are the vendors doing to support DBMS architectures?

Monday, March 5, 2018 / 2:00 PM - 2:45 PM

State of Data Management: Balancing Collecting Data and Connecting to Data Is the Future

Roxane Edjlali, Research Director, Gartner

Data is at the center of the digital business platform, but in reality, data is everywhere: Things, IT systems, customers, ecosystems, all have data. Organizations need to access, understand, manage and trust data in a flexible and agile manner. Taking an approach of collecting all possible data is becoming clearly impossible, balancing collecting data and connecting to data is the path to modernizing data management.

Monday, March 5, 2018 / 4:00 PM - 4:45 PM

Data Management Solutions for Analytics: Going Beyond the Data Warehouse

Mark A. Beyer, VP Distinguished Analyst, Gartner
Adam M. Ronthal, Research Director, Gartner

The traditional data warehouse still serves as the basis for analytics programs and remains foundational. However, increased demand for new data types and new use cases continues to expand. Data warehouse architecture has to evolve in order to meet these demands in both distributed and centralized solutions. Advanced architectures like the logical data warehouse help make this a reality.

Tuesday, March 6, 2018 / 9:45 AM - 10:30 AM

Reshape Your Data Integration Strategy for Bringing Order to Data Chaos

Eric Thoo, Research Director, Gartner

Data integration challenges go extreme as digitization proliferates real-time flow of data across a multitude of platforms. Harnessing data at the speed of business moments compels enterprises to handle pervasive integration demands — of new and less-technical personas, data delivery in a mix of virtualization, latency and granularity, and techniques of artificial intelligence and data hub strategy — for better flexibility.

• What digital disruptions are creating data integration challenges?
• How are data integration technologies evolving to embrace highly distributed and hyperconnected digital environments?
• How can organizations adapt to ensure relevance of their data integration strategy?

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

Hadoop and Spark: Understanding Open-Source Opportunities and Risks

Merv Adrian, Research VP, Gartner

As companies build foundational data and analytics infrastructure with Spark and Hadoop, the market continues to evolve in new and dynamic ways, and increasingly away from the Hadoop value proposition. Learn how these technologies are used in enterprises today and how they will evolve to face tomorrow’s use cases and scenarios.

• What are the use cases for Hadoop and Spark?
• How will these technologies evolve over the next three to five years?
• How do you prepare for an uncertain future for Hadoop, Spark and emerging technologies?

Tuesday, March 6, 2018 / 3:00 PM - 3:30 PM

Use Data Virtualization to Increase Business Agility and Connect Your Universe of Data

Eric Thoo, Research Director, Gartner

A proliferation of data of interests in massive-scale and highly distributed digital landscapes inhibits timely delivery of data for analytics, MDM and a broadening span of critical information use cases. Enterprises need to expand their agility for shared data access using data virtualization by evaluating their current data integration architectures, suitable usage and technologies.

• What are the basics of data virtualization technology and its major use cases?
• How should organizations use data virtualization to modernize their data integration strategy?
• What is the state of data virtualization technology in the market?

Wednesday, March 7, 2018 / 9:45 AM - 10:30 AM

Data Management: The Impact and Cost of Cloud Practices and Technology Options

Adam M. Ronthal, Research Director, Gartner

In this session, we explore the current state of the cloud market for DBMS.

• What are the appropriate use cases?
• What are the different deployment options?
• How are pricing models changing, and what is the impact on cost of ownership?
• Who are the key vendors — both cloud service providers and ISVs?

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

Data Hubs, Lakes and Warehouses: Choosing the Core of Your Digital Platform

Ted Friedman, VP Distinguished Analyst, Gartner

Successful implementations of digital platforms remain elusive. Data and analytics sits at the core of the digital platform, but what strategy should you pursue? This session starts the discussion by presenting three competing and complementary options, and how they are used to supercharge your existing business or to pursue net-new products and business models. Specifically, this session will explore:

• What are the differences between hubs, lakes and warehouses?
• How do you balance the trade-offs between these options?
• What are the technology options and how are they integrated?

Wednesday, March 7, 2018 / 3:00 PM - 3:30 PM

From Pointless to Profitable: Using Data Lakes for Sustainable Analytics Innovation

Nick Heudecker, Research VP, Gartner

Data lakes are the latest must-have in information management. But why? This session explores benefits and requirements of a data lake, as well as how your organization can use this concept to drive analytics-based innovation.

• How does a data lake fit into your data and analytics story?
• What are the technology and architectural options for data lakes?
• What critical capabilities does your data lake need?

Thursday, March 8, 2018 / 8:00 AM - 8:45 AM

From Self-Service to Enterprise Data Preparation — The Next Wave of Disruption for Pervasive Analytics

Ehtisham Zaidi, Principal Research Analyst, Gartner

Data preparation, when used for the right use cases, can add the much needed flexibility, agility and bimodal integration practices to benefit your aging data management architecture for analytics and operational use case requirements.

Key Issues:
1. How has data preparation evolved to support enterprise data integration and analytics needs?
2. What is the new class of enterprise data preparation tools, and how will that market segment evolve?
3. How can you best leverage and advance data preparation capabilities, while at the same time ensuring consistency and control?

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

Who Killed the Database (and Most Other Data Management Conventional Wisdom)?

Donald Feinberg, VP Distinguished Analyst, Gartner
Mark A. Beyer, VP Distinguished Analyst, Gartner
Ted Friedman, VP Distinguished Analyst, Gartner

In 2005 at Gartner Symposium, three Gartner analysts presented "The Death Of the Database", a look into the data management crystal ball. Fast forward almost 13 years and much has changed, except the three authors who are back to have a go again. Open source, cloud, AI & ML, autonomous, SaaS, virtualization, converging markets, and self service bring disruptive potential. How will all this affect your future and the future of data management?

Track G / Advanced Capabilities: Power Everything You Do With AI, Machine Learning and IoT
Monday, March 5, 2018 / 10:45 AM - 11:30 AM

The State of AI and Machine Learning

Erick Brethenoux, Research Director, Gartner

In this session, you will learn why you need to know about the latest trends and best practices in AI, data science and machine learning.

Monday, March 5, 2018 / 4:00 PM - 4:45 PM

The Essentials of Data Science and Machine Learning: How Machine Learning Extracts Knowledge From Data

Peter Krensky, Sr Research Analyst, Gartner

This session will provide a high-level introduction to data science and machine learning and their potential in a data-driven organization. Content will include key trends and concepts, proven use cases and an overview of leading technologies. How do data science and machine learning fit with the organization's existing analytics portfolio? How can your organization operationalize models driven by data science and machine learning?

Tuesday, March 6, 2018 / 9:45 AM - 10:30 AM

Use Decision Management to Operationalize Analytics

W. Roy Schulte, VP Distinguished Analyst, Gartner

Companies make their processes smarter by incorporating prescriptive analytics, rules and scoring-based decision services in production systems. Decision management is a collaboration among data, analytics, app dev., BPM and business leaders. What are best practices for deploying analytics into operations? How do you choose the right analytics? What is decision “modeling” and where does it apply?

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

What the Internet of Things Means for Your Data and Analytics Capabilities

Ted Friedman, VP Distinguished Analyst, Gartner

You think big data is large and complex and fast-paced? Consider how billions of devices, outside your line of sight and generating oceans of events, are going to put pressure on your ability to ingest, store and process data. Digital business and IoT hold massive promise for innovation, new business models and advanced analytics. How does the IoT create new data and analytics challenges? What must data and analytics leaders do to drive adaptation for the IoT? Which new capabilities will be critical to success?

Tuesday, March 6, 2018 / 3:00 PM - 3:30 PM

Advancing CX Analytics Maturity for Better Customer Experiences

Melissa Davis, Research Director, Gartner

The customer analytics maturity model provides data and analytics leaders with a roadmap to analytics maturity in their organization, data, analytics, applications and decisioning to improve customer experiences. How do organizations advance the customer analytics strategy to improve the customer experience? What best practices must data and analytics leaders adopt?

Wednesday, March 7, 2018 / 9:45 AM - 10:30 AM

Apples and Oranges: Picking the Right Data Science and Machine Learning Platform

Carlie J. Idoine, Research Director, Gartner

The data science and machine learning platform market is a crowded and confusing space. This presentation provides a prescriptive approach for understanding the similarities and differences of various "clusters" in the market and gives guidance on how to choose given your requirements.
Key Issues:
What are the clusters that are currently at play?
Who are representative vendors in each of the clusters?
How to I pick based on my requirements?

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

The State of Social Analytics in 2018

Jenny Sussin, Managing VP, Gartner

Social analytics has matured over the past five years to a point where keyword analysis, topic analysis and sentiment analysis have become standard. But we still have core problems: most social analytics is text-only, leaving out the images which paint 2018's social networks. Most social analytics projects are managed outside the core analytics organization, leaving social data strategies disconnected from the rest of the business. In this session we'll recap the current and future states of social analytics and what you can do to utilize this massive dataset.

Thursday, March 8, 2018 / 8:00 AM - 8:45 AM

Cortana, Siri, Alexa and Friends: Welcome to the AI Conversation!

Svetlana Sicular, Research VP, Gartner

Data and analytics leaders have many questions about AI conversational solutions. How do conversational AI benefit my business and my industry? Should I implement chatbots, and if so when? What bot solutions are viable now and how will they fare in the future? This session will give answers to these questions.

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

Advancing in Machine Learning: Deep Learning and Beyond

Erick Brethenoux, Research Director, Gartner

This session will focus on various advanced subjects in machine learning: We report from advanced in deep learning, data science best practices, and much more. The session will answer:
* What are the latest advances in deep learning?
* What new technologies and vendors are out there?
* What are the advanced practices to become more effective in ML?

Track H / Innovation: Be The Next Disruptor
Sunday, March 4, 2018 / 1:00 PM - 3:00 PM

BI Bake-Off: The Modern BI and Analytics Platform

Cindi Howson, Research VP, Gartner
Chris McNabney, Senior Vice President, Chief Product Owner, MicroStrategy
Andy Cotgreave, Senior Technical Evangelist, Tableau Software UK
Will Thompson, Program Manager, Microsoft Power BI, Microsoft Corporation
Josh Good, Senior Director, Product Marketing, Qlik Technologies Inc.

Modernize your BI and analytic capabilities by selecting the products that best meet your needs. See side-by-side, scripted demonstrations of four leading vendors. What is modern BI and what's changed? What are the key features to consider? How can you improve your own evaluation process? What are the main strengths and weaknesses of these vendors?

Sunday, March 4, 2018 / 3:30 PM - 5:30 PM

Innovative Analytics in Action: Emerging Trends You Need to Know

Rita L. Sallam, Research VP, Gartner
Scott Holden, CMO, ThoughtSpot
Adam Long, VP Product Management, Automated Insights
Filip Doušek, CEO, Stories
Yong Kim, Data Scientist, DataRobot

Visual-based data discovery disrupted the traditional, report-centric BI platform market. The next wave of disruption will come from augmented analytics, natural-language query and generation applied to conversational analytics and more. This session showcases top innovations with live demonstrations from representative vendors leading in these areas. How do you prioritize your technology investments? How can you use the Hype Cycle to track emerging trends? Which are the vendors to watch? What do the top 3 or 4 innovations look like and what value do they provide? What challenges should you consider?

Monday, March 5, 2018 / 9:15 AM - 10:15 AM

Gartner Opening Keynote: Scale the Value of Data and Analytics

Carlie J. Idoine, Research Director, Gartner
Kurt Schlegel, Research VP, Gartner
Rita L. Sallam, Research VP, Gartner

A fundamental shift is underway. From BI to AI. From informing masses, to enabling moments. From our data, to all the data. The need for data and analytics is pervasive — underpinning every business model, every public service mission, and even our personal lives. Unlike other assets, data’s value doesn’t deplete when consumed. Data can and should be used for a multitude of purposes. We have an unprecedented opportunity, and responsibility, to creatively expand the data foundation and accelerate analytical discovery. To accomplish this feat, data and analytic leaders must master four key dimensions of scale: diversity, literacy, complexity, and trust.

Monday, March 5, 2018 / 10:45 AM - 11:30 AM

Trends in Event Stream Processing and Real-Time Analytics

W. Roy Schulte, VP Distinguished Analyst, Gartner

Stream processing is becoming a big part of data and analytics programs, as companies deal with the growing volume of web, sensor and customer data. The market is confusing because of the differences and overlaps among three kinds of stream analytics technologies. What are the trends in open source and commercial products? How can companies improve their event stream processing maturity?

Monday, March 5, 2018 / 2:00 PM - 2:45 PM

Building Blockchain Into Your Data and Analytics Program

Nick Heudecker, Research VP, Gartner

Blockchain technology's data provenance features and trusted interactions could change how data is controlled, shared and governed. Although big technological hurdles remain, innovative data management opportunities are emerging. It's time for data and analytics leaders to start experimenting. This session explores:

• What is blockchain and distributed ledger technology?
• How might blockchain disrupt your data and analytics infrastructure?
• What is the maturity level of blockchain, and where should you begin?

Tuesday, March 6, 2018 / 9:45 AM - 10:30 AM

Digital Twins — Better IoT-Driven Decisions

Alfonso Velosa, Research VP, Gartner

The rise of digital twins is the next chapter of the relationship between IoT and digital business. The building block for IoT is the instrumented thing. In a significant number of IoT use cases, what is emerging as the most new and important related IT innovation is the digital twin representation that enables stakeholders the ability to monitor, analyze and make decisions about the actual thing, its context, and its current and future state.

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

The D&A Leader's Guide to Digital Ethics: Leading the Enterprise in the Digital Society

Frank Buytendijk, VP & Gartner Fellow, Gartner

In just five years time, digital ethics has grown from an interesting future trend to a core business necessity. Organizations that are rounding out their digital businesses label it a Top 3 priority. But how do we move the discussion from compliance and risk, to building business value? Which types of ethics work in the digital business, and which ones do not? What does "ethics by design" look like?

Tuesday, March 6, 2018 / 3:00 PM - 3:30 PM

Driving Analytics Success With Data Engineering

Nick Heudecker, Research VP, 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?

Wednesday, March 7, 2018 / 9:45 AM - 10:30 AM

Rage Against the Machine Intelligence: Human Intervention Required

Carlton E. Sapp, Research Director, Gartner

The rage against machine intelligence (AI) has begun. It is fueled by significant changes in technology automation in an attempt to transform to a data-driven, digital business that D&A leaders presses ahead at full speed. But what are the critical competencies, new roles and responsibilities emerging thanks to the rise of machine intelligence? What skills need to be developed? What functional areas must advance?

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

The Impact of VR, AR and Machine Learning on Analytics

Marty Resnick, Research Director, Gartner

Immersive technologies such as virtual reality (VR) and augmented reality (AR) offer an innovative way to visualize and understand complex data sets. The combination of immersive tech and machine learning have created a new and effective way for organizations to visualize and gain actionable insights from their data. This session will explore the use of these technologies, and how companies are utilizing them to support their data and analytics strategies.

Wednesday, March 7, 2018 / 3:00 PM - 3:30 PM

How Complexity Becomes Your Competitive Advantage

Gareth Herschel, Research VP, Gartner

Fragmenting channels, diverse customer expectations, new competitors, dynamic pricing, complex supply chains, crowdsourcing ... modern business is inherently complex, and becoming more so. Instead of trying to limit complexity, advances in analytics, decision management and IoT enable us to not just manage complexity, but to increase it, to turn the ability to master it into a competitive differentiator.

Wednesday, March 7, 2018 / 5:00 PM - 5:45 PM

Gartner Keynote: Digital 2025: A Rant Against Solutionism, a Plea for Duality and the Struggle for Success

Frank Buytendijk, VP & Gartner Fellow, Gartner

As an IT leader, your scope has changed. From building back office and front office systems, to be in the middle of the digital business. And the next thing is getting clear: the role of your organization in the #digitalsociety. This provocative, fast-paced presentation argues that the Silicon Valley way of creating a better world is short-sighted and misguided. A better understanding of how society works is needed, and every IT leader needs a story here. It is easy to be cynical and "realistic" in today's world, but what we really need is stories of Optimism and Hope. What will be your story?

Thursday, March 8, 2018 / 8:00 AM - 8:45 AM

If "Enterprise Blockchain" Is the Answer, What Exactly Is the Question?

Rajesh Kandaswamy, Research VP, Gartner

Most enterprise blockchain projects, even in late 2017, are misaligned with the decentralized nature of blockchain technology. The result is plenty of dead-end proof of concept projects. Fewer than 5% of POCs move to production — and this is a good thing, because if they were deployed, the outcome would be disappointment. This session covers avoidable mistakes in blockchain projects and identifies key drivers for success.

This session is aligned to the "banking and securities" track.

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

Applied Infonomics: How to Monetize, Manage and Measure Information as an Asset

Douglas Laney, VP Distinguished Analyst, Gartner

How do you know what to spend on information management if you don't know the value of your information? How can you adapt traditional asset management practices to information? What are the variety of ways to generate economic benefits from your (and others') information? Infonomics is the answer for leading organizations.

Start planning your agenda now.