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.
This research report confirms that we have now entered the calm before the storm. We expect that ongoing investigations by the ICO will not only put the intimidatingly large fines back into the media spotlight, but may also impact many business models. With research revealing 39.8% of organisations have still not reached a state of full compliance. This report explores attitudes to data sharing, awareness of data protection laws, trust and data sharing, negative impacts on trust and attitudes
This research report confirms that, while consumers will continue to want increased personalisation, speed and flexibility in how they transact and engage with firms, many consumers will not compromise trust or their own privacy to achieve that. The research also positions data ethics as a rather immature concept in today’s thinking, both by consumers and businesses.
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.
The Data Trends Report 2019: Are You On Board With The Customer Journey? discusses the results of a quick-fire survey of over 270 data insight and marketing campaign software users across a variety of industries. Discover the channels that are being used to drive customers’ communications, including the most popular social channels.
Experian and DataIQ explore key findings from our recent Experian/DataIQ research exploring the how and why of digital transformation projects and practical steps organisations can take to tackle their data challenges ahead of such an initiative
Consumers expect to receive personal and relevant communications from the brands they choose to interact with. To do this, brands need to understand which touchpoints an individual engages with and what influence that engagement has on the customer’s purchase decision so that they can continue to serve the right message, at the right time - which will allow them to stand out amongst competition. This guide will talk you through different attribution methods which vary in complexity and accuracy,
Marketing data insights and campaign automation can deliver powerful results, no matter what industry you work in. Nowhere is this better demonstrated than in the ‘Best use of the Apteco Marketing Suite Award’ finalists, who all demonstrate the winning customer-centric strategies that deliver competitive advantage.
Successful brands know that having quality customer data drives greater business success and more engaged customers. Yet organizations of every size continue to struggle with making data-driven decisions as a result of poor quality data.
Leyre Murillo-Villar is chief data officer and data control lead at BNP Paribas. She is also a member of the Women in Data 20 in Data and Tech list. She told DataIQ about the need to close the gender gap and how data is at the heart of managing risk.
The problem with stereotypes is that they linger. There isn’t an informed individual on the planet who would argue that STEM industries (science, technology, engineering and maths) ought to be male-dominated, and yet, these sectors remain imbalanced towards male representation. This is partly down to the aforementioned stereotype that these sectors ought to be “man’s work”.
Lyndsay Weir is global data and analytics manager at Nestlé. At the Women in Data conference in November, she was named as one of the new list of female industry role models, the 20 in Data and Tech. She told DataIQ how being a female leader and role model can be done in a quiet way.
For data-driven organisations, some of your most high-potential employees are those with strong data skills and a desire to share them with others. James Eiloart of Tableau explains how to identify and manage these data champions