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.
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.