View the 2019 Agenda Tracks and Sessions

Track A: Leadership, Strategy and Business Outcomes: Lead with Purpose and Resolve Ambiguity for Relevance

CEOs in all industries are turning to Chief Data and Chief Analytics Officers (CDOs and CAOs) to build the digital organization of the future and achieve business objectives. As a consequence, data and analytics leaders must lead with purpose. Also, businesses across all industries continue to struggle with the ambiguity of determining the value of data and analytics. This track discusses how to build a successful data and analytics strategy directly linked to key business outcomes – growth, customer experience, monetization of data and analytics; as well as on topics high on the agenda for strategically-minded CDOs and CAOs – skills development, closing talent gaps, change management, building the right teams, formalizing the right roles and culture.

 

Hot Topics:

  • Data-Driven Culture
  • Data Literacy
  • Data Ethics
  • Analytics Metrics
  • Organizations, Roles, Teams and Capabilities
  • Operating Models

 

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Track B: Data-Centric Architecture and Technology: Build the Data Foundation and Platform of the Future

Undergoing digital transformation means putting data at the core of the enterprise, transitioning from being data driven to being data centric. Visionary leaders understand the necessity of fitting the pieces of this complex technology puzzle together to form a cohesive architecture for future digital success. This track discusses how to draw the disparate pieces together including enabling technology components such as cloud, analytics infrastructure, data lakes, integration, blockchain, and more.

 

Hot Topics:

  • DataOps
  • Data Integration and Self-Service Data Preparation
  • Data Engineering
  • Cloud Data Management
  • Future of Data Management
  • IoT Data Management
  • Data Hubs, Data Lakes (Hadoop) and Data Warehouses
  • Spark and In-Memory Architecture

 

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Track C: Pervasive and Line of Business Analytics: Grow the Value of Analytics Everywhere and Make it Relevant

Digital business calls for analytics to be infused in every role, business function, business process, decision and action. Analytics everywhere is the new digital business imperative. This track addresses how to make analytics scale to all corners of the enterprise including various business domains/ verticals without creating chaos. It discusses the latest trends to make analytics pervasive. This track will share best practices on forming partnerships between line-of-business and data and analytics teams by discussing vertical-industry, domain-specific and advanced data and analytics.

 

Hot Topics:

  • Data and Analytics Service Providers
  • Augmented Analytics
  • Analytics Roadmap
  • Self-Service Data Preparation and Analytics
  • IoT Analytics
  • Customer Analytics
  • Domain Analytics Applications – Supply Chain Analytics, HR Analytics
  • Real-Time Analytics

 

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Track D: Innovation, Data Science and Machine Learning: Break Through the Hype and Plan for the Way Ahead

Harnessing innovative technologies to change the business and how we serve customers is the only choice for forward looking leaders who want to see their organization be a disruptor. However, the hype surrounding these innovative technologies and disciplines such as Data Science, Machine Learning and Artificial Intelligence is daunting. Developing an understanding of the strategies and technologies in this space is vital for delivering business value. This track reveals the more visionary and pioneering trends and aspects of data and analytics – explaining what’s real, what’s hype, organizational requirements, skills needed and the all-important business impact of these advanced data and analytics capabilities.

 

Hot Topics:

  • Data Science
  • Machine Learning and AI
  • Continuous Intelligence
  • AI in Data Management
  • Operationalizing AI and Machine Learning
  • Digital Integrator Technologies
  • Blockchain for Data Management
  • The Impact of IoT on Data & Analytics

 

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Track E: Trust and Governance: Anchor the Foundation

Trust and governance form the foundation of robust data and analytics strategies – for your customers, partners, and employees. Data and analytics leaders must ensure they have trusted data governance practices, processes and protocols in place. This track provides guidance and best practices for enterprise data governance, including data quality, risk, security, privacy, ethics and regulatory compliance as well as content related to complex and edge architectures. 

 

Hot Topics:

  • Metadata Management/ Data Catalogs
  • AI-enabled Data Governance
  • Data Quality
  • The Future of Master Data Management
  • Personalization versus Privacy
  • How to Deal with Dangerous Data

 

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Spotlight Track: Master Data Management in Context: Trust at the Core

For many organizations high quality, high integrity master data is foundational to their data and analytics strategy as well as capability. Yet master data alone does not provide for the needs of the business. It is always a combination of master and non-master data brought together in a deliberate way to meet target use cases that deliver value — and do so across the whole of the enterprise. This spotlight track places MDM in the broader context of data and analytics by virtue of being embedded in each of the primary tracks, addressing both fundamentals and advanced topics within MDM.

 

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