Industry data leaders from NHS Digital, Samsung Europe, Schneider Electric, TUI Group and Zurich will be presenting at the DataIQ Transform event taking place on Wednesday, November 13, 2019. We sat down with some of these industry leaders to learn more about their perspectives on the evolving data and analytics landscape.
Utilising data and AI at a business level to drive the overall value of the customer is very different from using it at the tactical level to optimise a channel or clicks and warrants considerable upfront planning. In this paper, we explore the steps that organisations need to take to implement AI into their organisation to ensure the greatest chance of success.
How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organisations will win with embedded and augmented analytics, Hyper-intelligence, collaboration, enterprise AI strategies, and more.
Operationalisation and self-service analytics are critical pieces to the transformation of a data-powered enterprise, including the movement toward AI. However, that doesn’t mean that the two systems in and of themselves are a final destination.
Insights-driven public companies grow faster with data as their fuel. Yet nine out of ten struggle to scale their analytics. One of the biggest obstacles is ensuring you have the right skills and mindset right across the organisation. James Eiloart of Tableau suggests ways to find them from inside and outside of your business.
How do you write a data strategy that will guide your organisation on the long journey towards a thriving data culture? Deborah Yates of DAMA UK offers five tips that can help you find the right balance.
Pursuing a digital transformation or becoming a data-driven business ought to mean placing the data strategy at the heart of the business strategy. That doesn’t always happen, which is why Nigel Turner suggests some ways to make sure business and data become better friends.
Assembling the right team for a particular task is all about the perfect blend of skills. Data science is a team sport and depends on an understanding of the skills and capabilities of everybody. Rich Pugh of Mango Solutions considers how to bring them together.