Data & Analytics Summit 2019,
tracks dedicated to data & analytics leaders biggest challenges
The hype surrounding 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 is dedicated to the technology trends, what’s real, what’s hype, organizational requirements, skills needed for successful deployment and the all-important business impact of these advanced data and analytics capabilities.
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, hadoop, Spark, in-memory, and more.
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. Standing still is not an option. This track reveals the more visionary and pioneering trends and aspects of data and analytics. It is designed to deliver innovative approaches that will change your perspectives by offering insights on the future for data and analytics in your organization.
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. With content focused on topics high on the agenda for strategically-minded CDOs and CAOs – skills development, closing talent gaps, building the right teams, formalizing the right roles, data literacy, diversity and ethics.
As organizations adopt ‘digital-first’ business models and strategies, data and analytics investments are increasingly driven by line of business leaders. The world of LoB leaders keeps changing which brings with it an ever increasing thirst for data and analytics. A necessary condition of success is the ability to form partnerships between business and data and analytics teams, something that is now more pressing than ever. This track discusses vertical-industry, domain-specific and advanced data and analytics with topics including supply chain analytics, , customer analytics, HR analytics, and IoT analytics.
Digital business calls for analytics to be infused in every role, 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 without creating chaos. It discusses the latest trends to make analytics pervasive – augmented analytics, embedded analytics and continuous analytics.
Businesses across all industries continue to struggle with the ambiguity of determining the value of data and analytics. What are the business outcomes you need to achieve? What are the best ways to justify the investments you need to make? 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, risk mitigation and innovation.
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.
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.