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.
Democratisation of data is a concept that is currently high on the hype cycle. By enabling self-service querying and report building, it is anticipated that the whole business will become more data-driven. But the idea is simpler to have than to realise. This briefing draws on practitioners’ experiences to suggest five key ways to make this kind of project a success.
Data quality in business intelligence is not often recognised as an issue in itself, yet its impact on the reliability of reports and KPIs can be significant. This guidance note offers an approach for improving your CARBON score for BI by one or two points.