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.
Just over one in two businesses do not have the right skills in house to execute their AI strategy even though 93% of businesses are fully invested in AI. This is according to research from SnapLogic, which also shows that the AI skills shortage is more acute in the UK than in the US.
Konica Minolta Marketing Services (KMMS) proclaims to help brands get the best value out of their data. Steve Lowell of KMMS tells an audience which tools and processes his company uses to extract that value and why this task is so challenging in today’s information age.
How exactly does one ‘do data’? For those of us who work around data but not actually with it, analytics and insights can seem like alchemy. Numbers and data go in at one end and data-driven insights come out at the other. So DataIQ has partnered up with Tech Nation UK to have a peek behind the curtain of a data project.
Business intelligence and data visualisation company Qlik has launched a data literacy certificate for people who work within and outside of data analytics. Toni Sekinah speaks to Kevin Hanegan of Qlik to find out how the certificate was designed and the skills and competencies prescribed within it.