Metrics are at the heart of a well-performing data science function and need to be clear to both practitioners and leaders. But they are also difficult to define and not every project can be easily measured. This white paper considers how to go about establishing effective metrics drawing on the experiences of DataIQ Leaders members.
Two years ago, it was predicted that nine out of ten organisations would have a board-level CDO by now. The reality is more like one in ten. But that is not just due to a slowdown in hiring - CDOs themselves may not want to reach the C-suite. Following a DataIQ Leaders dinner discussion, this briefing considers the reasons and also why CDOs really do not like CIOs.
Data engineers are the new in-demand skilled workers as organisation seek to integrate multiple data sources or move to new data platforms. This whitepaper considers the challenges of recruiting in a limited talent field and what skills this role really requires, based on a recent DataIQ Leaders roundtable.
In the early stages of maturity, analytics functions tend to operate in a highly-reactive state with little in the way of prioritisation of those incoming tasks. This creates a false expectation among stakeholders and stops the analytics function from progressing up the maturity curve to become proactive. This briefing paper outlines some key steps to avoid this trap.