This report, a collaboration between DataIQ and Experian, is a deep dive into the how and why of digital transformation as well as the role data quality and data management play in its success. Download this report to understand the importance of data quality and data management and how to prevent data quality pitfalls in transformation programmes.
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,
Collecting, cleaning, putting it together and making sense of data to derive business insights is a lot to deal with. Companies that do master that process will be the ones set themselves apart from the pack.
Retail recommendation engines do a passable job at inspiring customers to make routine purchases. But what about something as unique as perfume? Can you automate this most personal of choices? Natalie Cramp of Profusion takes the lid off how AI is doing just that.
Getting your data strategy signed-off by the organisation is a great moment. But it is not the end of the task - it is actually where the work really begins. Lisa Allen of DAMA (UK) identifies the critical steps you need to take next.
The opportunities for data to help society respond to long-standing and emerging challenges is limited only by our imaginations. Covid-19 has highlighted this fundamental importance of data and technology. Jonathan Westley, CDO at Experian, points out some examples.
The economic recession has taken many data and analytics leaders back to their early days with a reduced headcount and shortage of deployable talent. Rebuilding will mean tackling some of the obstacles they already faced, plus a few new ones. Jorgen Heizenberg of Gartner offers five ways to restart the data revolution.