DataIQ Leaders briefing – Using value creation to support priority setting on data projects

At a DataIQ Leaders roundtable in February 2022, members discussed the best methods for using value creation to support priority setting on data projects. The conversation focused on the ruthless nature of prioritisation, the importance of collaboration and the need to collect evidence to support the process.

DataIQ Leaders Discussion: Do you need humanities as much as science?

With so much emphasis being placed on recruiting candidates from science, technology, engineering and maths backgrounds, it can seem as if STEM is the only skills set that should be considered. But given the importance of soft skills, such as communication and team working, to the success of a data and analytics function, this whitepaper considers where humanities could play a part.

Leaders discussion: Mental models of an effective analytics team

Team dynamics have a big impact on the effectiveness of the analytics function. Selecting the right candidates and understanding existing practitioners can be a worthwhile exercise for an analytics leader. This article looks at three psychological models that have gained traction in this discipline.