This simple five-step guide summarises the attributes one needs to look out for when evaluating new data providers. As data becomes ever more important as a tool to make commercially-viable strategic ...
Data for good is a popular term that connects the common desire to engage with big picture initiatives and the potential of data to have societal, environmental and economic impacts. But what D4G means can be very different from one organisation to another. This briefing draws on a DataIQ Leaders roundtable that surfaced some of the issues involved in embedding charitable activities alongside commercial ones.
Last year presented as many opportunities as challenges for DataIQ Leaders members, from delivering long dreamed-of data migrations to digital transformations and leading-edge innovation. During a roundtable in February 2021, two very different types of project were identified which have mutual benefits and dependencies.
The start of the academic year each Autumn is usually a critical juncture for employers. Data and analytics departments have recently joined in this milk round activity, but with many universities putting the entire 2020/21 academic year onto a virtual footing with remote tuition, the usual pathways for recruitment appear blocked. A roundtable held in October 2020 explored whether conventional approaches to building talent at the top of the funnel are still relevant in the circumstances
One of the longest-running discussions around data is exactly how to value the contribution it makes to a business. Hard metrics can be difficult to define and put in place, as a recent DataIQ Leaders roundtable revealed. This briefing note considers some of the ways in which members are trying to prove the return on investment they deliver