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
According to recent research carried out by DataIQ, around two-thirds of organisations (63.6%) are pursuing customer data integration as part of their digital transformation. Yet only one in ten (10.2%) have achieved this nirvana. This whitepaper considers the challenges of enterprise-wide data integration across the data estate.
Momentum is an important aspect of the task facing any chief data officer (CDO) or chief analytics officer (CAO) as they embed this function into their organisation. But if the data office and analytics function has been slow in bringing significant benefits and transformation to the organisation, it can face deep challenges from the business. This white paper looks at some of the root causes and how to address them.
If you are the manager or leader of a data and analytics function, then chances are you spend a lot of your time looking at CVs. Either to grow the size of your teams or to replace practitioners who have left, the reality of recruitment in this space is of constant activity and a challenging environment. This whitepaper summarises tactics that were shared at a recent DataIQ Leaders breakfast briefing.
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.
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.