Agenda

As organizations adopt new business models and strategies, data and analytics investments are increasingly driven by line of business leaders. Culture is often the biggest barrier to success. A necessary condition of success is the ability to inspire everyone in the organization to align to your shared vision. Businesses across all industries must also assess, prioritize and communicate the value of data and analytics. The strategic use of data and analytics is a critical element to an organization’s competitiveness and in many cases, its very survival. 

This track discusses those topics that are high on the agenda for strategically-minded data and analytics leaders driving innovation, creating compelling narratives, building and managing creative teams, deciding on how to select and prioritize the right set of investments, rewiring culture, skills and roles development, closing talent gaps, addressing data literacy and communicating value, and learning what successful leaders, such as chief data officers do. Further, this track also covers best practices on justifying and communicating the value of you data and analytics investments to other business leaders, selecting the right metrics, best practices from successful organizations for creating business value, and monetizing data and digital ethics.

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 with a focus on enabling technology components such as cloud, analytics infrastructure, data lakes, data warehouses, data hubs, data fabrics, the information architecture of the future, integration, data preparation, blockchain, and more.

The heightened competitive demands of digital business calls for analytics to be infused in every role, business process, decision and action. Data & analytics leaders need to understand how to expand their organizations use of analytics for greatest impact and effect without compromising quality, integrity and trust.

This track addresses how to make analytics fundamental to all parts of the business in a trusted way. It discusses the latest trends – data storytelling, augmented analytics, the convergence of analytics and BI and data science, embedded analytics and continuous, and real-time analytics.

While operationalizing data science, Machine Learning and Artificial Intelligence is daunting, it is an imperative to achieving business value. Developing an understanding of the strategies in this space is vital, while harnessing other innovative technologies to define new ways to interact with and serve customers, partners suppliers and employees is high on the agenda for forward-looking leaders. Becoming a disruptor is not for the faint-hearted and standing still is not an option.

This track is dedicated to the emerging technologies, trends and approaches that will change your business and should not be ignored; as well as what’s real, what’s hype, organizational requirements, skill development, talent recruiting and the all-important business impact of these advanced data and analytics capabilities. Topics covered include customer analytics, using machines to tell data stories, the future of cloud, AI and content analytics, how to innovate with AI, graph and relationship analytics, process mining, immersive analytics, and blockchain.

Trust, governance and master data management form the foundation of robust data and analytics strategies – for customers, partners, and employees. As all forms of analytics, and in particular, Artificial Intelligence permeates the organization, having in place trusted master and application data along with agile data governance practices, processes, frameworks and protocols in place are critical to data & analytics leaders’ success.

This track provides guidance and best practices for adaptive enterprise data, analytics and AI governance, data quality, data catalogs, master and application data, best practices around digital ethics, trusted data sharing, MDM in the cloud, privacy and security a growth driver, and regulatory compliance.

Today’s data & analytics leaders are champions of change. They are not only looking at data governance and risk, you’re leading the development of your organization’s data and analytics capabilities to innovate, effect cultural change and create new business models. To succeed you need strong business acumen alongside the ability to align strategies with your organization’s longer-term strategic objectives.

This track focuses on critical skills necessary for success - gaining support and buy-in from peers and business leaders using storytelling, dealing effectively with organizational politics, engendering collaboration across the business, building and managing innovative and successful teams, and managing change.