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.
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
Artificial intelligence is the alpha trend in technology right now and is having a sweeping impact on how marketing organisations work and approach customers. AI is not new, but due to a series of converging conditions – wide availability of machine learning and advanced analytics; an abundance of data; and affordability of raw computational power – AI has gained momentum and is today a technology with substantial transformational impact.
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.
Today’s mobile users are demanding - only 5% of mobile consumer apps survive their first 30 days. Any organization embarking on an enterprise mobility initiative must heed the hard-learned lessons from the consumer space to ensure the successful adoption of their apps.
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.
In the second instalment of the Strategic Playbook for Data-Driven Agencies series by Adverity, we take a closer look at the growing role of data visualisation and dashboards. Agencies must embrace new data-driven technology to ensure their long-term future and keep pace in times of digital transformation.
In this edition, Cathy Pendleton, senior data governance manager at Compare the Market, talks to DataIQ about how to make the protection of data an enabler of new business processes and why this is proving to be an attractive new career option in the industry. Plus diversity at Hastings Direct and KPMG.
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.