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.
DataIQ has created the Data Culture for Teams Assessment to help member organisations evaluate their data culture maturity using the ten DataIQ data culture dimensions.
David Reed dives into the financial side of generative AI as costs can rapidly spiral if not monitored and there is a necessity to be accurate with the use of tools.