Top Recommended Sessions

Delivering on needs for Data & Analytics leaders in 2019

Questions:

 

1 How can you build a comprehensive data and analytics strategy and connect this to business outcomes?

Relevant Sessions

 

  • The Foundation of a Modern Data and Analytics Strategy 
  • Infonomics: How to Monetize, Manage and Measure Information as an Actual Asset 
  • The Data-Driven Organization: How to Create and Lead High- Performing Data and Analytics Teams 
  • The Wide-Wide World of Alternative Data Sources 
  • Decision Modeling: Bridging Analytics and Business Processes for Optimum Business Outcomes 
  • Content Analytics: Adding Intent and Context to Business Intelligence 
  • Ask the Expert: So You Want to Be a CDO 
  • Workshop: Overcoming Change Resistance: The First Step to Becoming a Data-Driven Organization 
  • Workshop: Data and Analytics Services — Build, Buy or Outsource 
Benefits

 

  • Harness the right organization, skills, strategy, and technologies to build a data-centric culture to support digital business transformation
  • Overcome data and analytics complexity and ambiguity to drive business value
  • Develop a clear line of sight to concrete objectives and results
Experts

 

  • Mike Rollings
  • Lydia Jones
  • Debra Logan
  • W. Roy Schulte
  • Alan Dayley
  • Sally Parker
  • Jorgen Heizenberg

2 How can you design and deliver a modern data centric architecture (data lakes, data warehouses, data hubs, cloud) that enables digital transformation?

Relevant Sessions

 

  • The Future of Data Management 
  • Data Management Solutions for Analytics — Why Hadoop Won’t Replace Your Data Warehouse Anytime Soon 
  • How to Avoid Data Lake Failures 
  • Shifting Data Integration from Reactive to Proactive “in the Business Moment” 
  • From Self-Service to Enterprise Data Preparation: Learn to Implement and Operationalize Data Preparation for Data and Analytics Success 
  • Adopt a Data Hub Strategy for Controlled and Streamlined Data Sharing 
  • Data Hubs, Lakes and Warehouses: Choosing the Core of Your Data and Analytics Platform 
  • Magic Quadrant for Data Management Solutions for Analytics 
  • Ask the Expert: Choosing On-Premises vs. Cloud for Data Infrastructure 
  • Roundtable: Getting More From the Data Lake 
Benefits

 

  • Learn about competing and complementary options in data management, and how they are used to supercharge your existing business or to pursue net-new products and business models towards analytics, data science and operational use cases
  • Understand how data warehouse architecture has to evolve to a more modern logical data warehouse architecture in order to meet these demands in both distributed and centralized solutions
Experts

 

  • Donald Feinberg
  • Rick Greenwald
  • Ehtisham Zaidi
  • Ted Friedman

3 How can you harness the latest trends such as AI, IoT, data science, machine learning in data and analytics to drive innovation?

Relevant Sessions
 
  • AI in Data Management Is Real: Navigating the Rise of Augmented Data Management 
  • Top Technology Trends in Data and Analytics That Will Change Your Business 
  • How the Internet of Things Will Disrupt Your Data and Analytics Capabilities 
  • How Augmented Analytics Is Transforming Data Science and Machine Learning 
  • Making Machine Learning Explainable: Unravelling the Mysteries of the Black Boxes 
  • Blockchain for Data Management: How the World’s Worst Database Will Work for You 
  • Advanced Analytics: Tales From the Cutting Edge Alexander Linden
  • Innovative Analytics in Action: Emerging Trends You Need to Know 
  • Magic Quadrant for Data Science and Machine Learning Platforms 
  • Ask the Expert: Stream Analytics Trends, Tools and Best Practices 
  • Ask the Expert: Key Trends in Data Management and Integration 
Benefits

 

  • Learn about the leading edge technologies, architectures and best practices in data and analytics and how they will impact your digital business requirements now and in the future
  • Get insight into the most important and impactful current and upcoming business, technology and market trends needed for your organizations key D&A initiatives
  • Understand how the IoT creates new data and analytics challenges and what must data and analytics leaders do to drive adaptation for the IoT as well as which new capabilities will be critical to success
  • Learn what challenges are creating a need for AI in data management and how will AI augmentation will enhance data management infrastructure
Experts

 

  • Eric Thoo
  • Rita Sallam
  • Ted Friedman
  • Alexander Linden
  • Erick Brethenoux
  • Donald Feinberg
  • W. Roy Schulte

4 Why are leadership, skills and roles (such as the chief data officer, chief analytics officer and data engineer etc.) critical to your data and analytics success?

Relevant Sessions

 

  • The State and Future of the Office of the CDO: Gartner 2018 Chief Data Officer Survey 
  • CDO Circle: Leadership Exchange — Leadership and Strategy Essentials 
  • CDO Circle: Leadership Exchange — Innovating With Data and Analytics: What Leaders Need to Know 
  • Ask the Expert: So You Want to Be a CDO
  • Workshop: Overcoming Change Resistance: The First Step to Becoming a Data-Driven Organization 
Benefits

 

  • Develop new roles (such as CDO), new ways of working and new data-driven thinking
  • Identify the best practices, skills, tools and technology required to lead your organization through digital business transformation
Experts

 

  • Debra Logan
  • Lydia Jones
  • Mike Rollings
  • Sally Parker

5 How do you scale your data science, machine learning and AI initiatives to drive business value?

Relevant Sessions

 

  • Operationalizing Your Data Science and Machine Learning Initiatives 
  • The Foundation of Data Science and Machine Learning: Achieving Advanced Insights and AI for Analytics
  • Advanced Analytics: Tales From the Cutting Edge Alexander Linden
  • The Future of Data and Analytics: How Augmented Analytics Will Transform Your Organization 
  • Workshop: Data and Analytics Services — Build, Buy or Outsource
  • Roundtable: Advancing in Machine Learning 
  • Ask the Expert: Decision Management and Decision Models
Benefits

 

  • Exploit diverse data, thinking and teams to spark creativity and innovation
  • Learn how to establish data science operational strategies to scale and systematically monetize your data science efforts
  • Explore some of the more exciting, yet not fully businessproven ideas in advanced analytics: From knowledge graphs, simulation, deep learning variations and many more
Experts

 

  • Erick Brethenoux
  • Rita Sallam
  • Jorgen Heizenberg
  • Alexander Linden
  • W. Roy Schulte

6 How can you build data-driven culture, improve organization’s data literacy, build effective programs to drive your data and analytics initiatives; and accelerate adoptions?

Relevant Sessions

 

  • The Data-Driven Organization: How to Create and Lead High- Performing Data and Analytics Teams 
  • Your Data Culture is Changing — Do You Need DataOps? 
  • Use Continuous Intelligence to Transform the Business 
  • CDO Circle: Leadership Exchange — How CDOs Can Drive a Data-Driven Culture Using Data Literacy 
  • Workshop: Overcoming Change Resistance: The First Step to Becoming a Data-Driven Organization 
Benefits

 

  • In the diverse and often chaotic world of data and analytics — the business often struggles to understand and then interpret their investments in and outcomes from data and analytics. Learn from experts on how Data Literacy is becoming a must have discipline to help the business propagate, evangelize and understand the value of data and analytics and connect it to business outcomes.
  • Empower everyone and everything in the organization to leverage data and analytics to optimize every decision, every process and every action
  • Learn what the new discipline of DataOps means and how you can implement some early practices in your organization
Experts

 

  • Debra Logan
  • Alan Dayley
  • Sally Parker
  • Mike Rollings
  • W. Roy Schulte

7 How can you make data and analytics pervasive in your organization (for example, embedded in applications, across business domains and functions), and utilize the key trends of augmented analytics or selfservice to your advantage?

Relevant Sessions

 

  • How to Choose the Right Line of Business Analytic Application 
  • The Future of Data and Analytics: How Augmented Analytics Will Transform Your Organization
  • From BI to AI: Build the Business-Driven Data and Analytics Architecture
  • Upgrade from Self-Service to Enterprise Data Preparation for Analytics and Data Science Success 
  • Magic Quadrant for Analytics and Business Intelligence Platforms 
Benefits

 

  • Build a portfolio of innovative and relevant business and industry-specific analytic applications
  • Learn where to find analytic applications and what are the most important things to consider in evaluating different vendor options in analytics, data management and data science/machine learning
  • Discover the step-by-step methodology to design a businessoutcomes-driven analytics evolution roadmap with a strong commitment to users and a shift from technology to business impact
Experts

 

  • Melissa Davis
  • Rita Sallam
  • James Richardson
  • Ehtisham Zaidi

8 How can you use data and analytics to serve customers, optimize your supply chain, and attract and retain your employees?

Relevant Sessions

 

  • What You Need to Know About Customer Analytics 
  • How to Improve Customer Experience and Engagement With Real-Time Continuous Intelligence 
  • Ask the Expert: Applied Infonomics: How to Use a Modern Data Catalog to Measure, Manage and Monetize Information Supply Chains
  • Why You Need MDM for an Optimal Customer Experience 
Benefits

 

  • Learn about the key trends and best practices in customer analytics
  • Explore methods that enable Data and Analytics Leaders to deliver new business value by managing information supply chains and curating the inventory of information assets
  • Discover how to make data access and consumption more agile, flexible and relevant for both operational processes and analytics
Experts

 

  • Melissa Davis
  • Guido De Simoni
  • Simon Walker

9 How can you navigate the rapidly evolving landscape of data and analytics technology markets, vendors and service providers?

Relevant Sessions

 

  • Data Hubs, Lakes and Warehouses: Choosing the Core of Your Data and Analytics Platform
  • Shifting Data Integration From Reactive to Proactive “in the Business Moment” 
  • Data Management Solutions for Analytics: Why Hadoop Won’t Replace Your Data Warehouse Anytime Soon 
  • A Playbook for Working With External Data and Analytics Service Providers 
  • Use Continuous Intelligence to Transform the Business W. Roy Schulte
  • Magic Quadrant for Data and Analytics Services Providers 
  • Workshop: Data and Analytics Services — Build, Buy or Outsource 
Benefits

 

  • Identify what you need support for, what different sourcing options exist and help you make the decision on build, buy or outsource talent, data and analytics solutions and tool options
  • Get insight into why is continuous intelligence proliferating now and what are best practices for deploying analytics into operations
Experts

 

  • Ted Friedman
  • Ehtisham Zaidi
  • Rick Greenwald
  • Jorgen Heizenberg
  • W. Roy Schulte

 

10 How can your organization move toward a single, trusted view of master data?

Relevant Sessions

 

  • Metadata Management Is a Must-Have Discipline
  • Why You Need MDM for an Optimal Customer Experience
  • The Foundation of Master Data Management 
  • The Future of Master Data Management 
  • From Anarchy to Harmony: Use Machine-Learning-Enabled Data Catalogs to Maximize Investments in Distributed Data Assets
  • How to Evolve Data Quality Programs for Best Business Impacts
  • Workshop: EIM Maturity Model Guido De Simoni
  • Ask the Expert: What Are the Best Practices in Justifying and Operationalizing a Data Quality Improvement Initiative? 
Benefits

 

  • Learn the benefits of aligning the MDM discipline to CX and making it a part of your CX strategies
  • Get clarity on what are data hubs and how do they support data sharing and governance
  • Get insights into the top trends of the modern data quality practices and tools and how to setup appropriate data quality programs to meet various business scenarios
Experts

 

  • Guido De Simoni
  • Simon Walker
  • Ehtisham Zaidi
  • Guido De Simoni
  • Ankush Jain

11 How do I put the right data integration foundation in place?

Relevant Sessions

 

  • Shifting Data Integration from Reactive to Proactive “in the Business Moment” 
  • From Anarchy to Harmony — Use Machine-Learning-Enabled Data Catalogs to Maximize Investments in Distributed Data Assets 
  • Upgrade from Self-Service to Enterprise Data Preparation for Analytics and Data Science Success 
  • Roundtable: Data Preparation, Data Virtualization, Streaming Data Integration — Utilize Modern Integration Technologies for Data and Analytics Success Eric Thoo
  • Ask the Expert: Key Trends in Data Management and Integration 
Benefits

 

  • Uncover best practices to inculcate modern integration practices for complete and faster analytics and data science
  • Understand how to harness self-adjusting or self-learning AI approaches to equip your enterprises with a highly adaptive integration infrastructure
  • Learn how integration professionals can overcome the challenges presented with postmodern ERP and legacy integration tools and techniques
Experts

 

  • Ehtisham Zaidi
  • Eric Thoo

12 What are the critical factors in effectively governing data, analytics and AI?

Relevant Sessions

 

  • Early Lessons and Next Practices of AI Governance
  • The Foundation and Future of Data and Analytics Governance
  • Metadata Management Is a Must Have Discipline
  • The Foundation of Master Data Management 
  • How to Evolve Data Quality Programs for Best Business Impacts
  • Ask the Expert: DataOps — Organizing for Trusted Data-Driven
Benefits

 

  • Lead by building a foundation of trust, accountability, governance, security and privacy
  • Learn how to establish solid foundations needed for successful data and analytics governance today, and the future direction of governance as it evolves to address new business and technology challenges
  • Get clarity on how can metadata management deliver value and how to set up a metadata management practice
Experts

 

  • Alexander Linden
  • Sally Parker
  • Simon Walker
  • Guido De Simoni
  • Ankush Jain
  • Alan Dayley

13 What’s real and what’s hype with AI today?

Relevant Sessions

 

  • AI in Data Management Is Real: Navigating the Rise of Augmented Data Management 
  • The Foundation of Data Science and Machine Learning Achieving Advanced Insights and AI for Analytics
  • The Future of Data and Analytics: How Augmented Analytics Will Transform Your Organization 
  • From BI to AI: Build the Business-Driven Data and Analytics Architecture
  • Magic Quadrant for Data Science and Machine Learning Platforms
  • Roundtable: Advancing in Machine Learning 
Benefits

 

  • Cut through the AI hype to develop a real strategy that impacts the business outcomes
  • Discover how data science and machine learning fit within both the organization’s analytics and AI strategies
  • Understand what are the early steps data and analytics leaders should take to invest in data science and machine learning
  • Understand how to operationalize self-service and departmental AI/ML exercises into production level deployments
Experts

 

  • Eric Thoo
  • Erick Brehenoux
  • Rita Sallam
  • James Richardson
  • Alexander Linden

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