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.
Digital transformation has evolved so rapidly in recent years that an “analytic divide” is now emerging, with many organisations fearing they need complex code and high-level data science skills to compete. But as Nick Jewell of Alteryx explains, the right mind-set combined with next generation tools can quickly close the gap between leaders and laggards.
Hackathons have huge appeal for talent management and acquisition, bringing with them some much-needed, tech-fuelled zeitgeist. To get the best out of them, you need to do careful preparation and goal-setting. Jane Smith shares a tip list based on her experiences to help you have a successful hack.
The trend towards using data and analytics to improve patient outcomes in the NHS has been accelerated by the Covid-19 pandemic. According to research by Qlik, 84% of NHS Trusts reported using data analytics to support patient care and operations during the crisis. Two of them told DataIQ how they have adopted new tools and what impact they have had.
If you have been charged with creating your organisation’s data ethics and AI policy, you might feel over-faced by the quantity of material on the subject and baffled by the range of regulators and organisations involved. In this article, Helen Crooks maps out the vested interests and directs you towards the sources that matter.