DataIQ Leaders briefing – Best practice for keeping your tech stack on point
At a DataIQ Leaders roundtable in November 2021, members discussed how they are cultivating their tech stacks in the digital world. The conversation focused on the role of governance in scaling up, issues around the democratisation of technology and the relationship between technology and recruitment.
DataIQ Leaders briefing – Creating a diverse and inclusive data office
In the first of DataIQ’s “Leaders-led” roundtables, members discussed the importance of diversity and inclusion within their organisations, shared best practice examples and looked at how the data industry can come together to drive change. The roundtable was part one of DataIQ’s “Talent in Data” series – a stream of talent-focused activities and content focused on the evergreen issues of talent retention, career development and diversity within data.
DataIQ Leaders briefing – How data can support customer-centric business strategies
Since the outbreak of the pandemic, rapidly evolving market conditions have led organisations to adjust their strategies to be more consumer-oriented. However, customer-first doesn’t necessarily mean data-driven. At a DataIQ Leaders roundtable in October 2021, members discussed the best methods for aligning data and analytics with business stakeholders and their processes to reshape the customer relationship.
DataIQ Leaders briefing – Developing the next generation of data leader
At a DataIQ Leaders roundtable in September 2021, members discussed the challenges they face when progressing the next generation of talent up the career ladder.
DataIQ Leaders briefing – Accelerating your organisation’s data maturity
At a DataIQ Leaders roundtable in August 2021, members from organisations at varying levels of data maturity discussed the best methods for cultivating a data-driven culture.
DataIQ Leaders briefing – Embedding data into your corporate DNA
Most organisations have come to terms with the importance of data and analytics. However, without a defined strategic roadmap to facilitate the pivot towards data, transformations can be ineffective. At two DataIQ Leaders roundtables conducted in July 2021, members discussed the best methods for embedding data into their organisational structure.
DataIQ Leaders briefing – Getting the most out of automating analytics
Data teams are under increasing pressure to drive value within the business, which often means automating any repeat processes that can be mapped and standardised. This includes analytical processes. At a DataIQ Leaders roundtable in June 2021, members discussed the best methods for laying the foundations of a successful journey to automate analytics.
DataIQ Leaders briefing – Best practice for outsourcing
Outsourcing can be effective and deliver a new solution rapidly. Or it can become challenging with scope creep and missed deadlines. It is almost certainly inevitable, even within data departments. A DataIQ Leaders roundtable considered the drivers of outsourcing and the critical success factors to look out for. David Reed reports.
DataIQ Leaders briefing – From WFH to 3:2 and everything in between
Has your organisation decided when it will fully re-open its offices and, if so, how often it expects workers to be there? It is one of the crucial questions being asked by companies, many of them having decided to downsize their physical space. A DataIQ Leaders roundtable discovered how Covid-19 had changed working practices and workspace for data departments. David Reed reports.
DataIQ Leaders briefing – From data for good to data for purpose
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.
Data projects in 2020 – shopkeepers, speedboats and storms
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.
DataIQ Leaders briefing – Talent management in a time of crisis
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
DataIQ Leaders briefing – “Are we earning our place at the table?”
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
When data management meets crisis management
As businesses deal with the consequences of the global pandemic, disrupted data strategies are the reality for many leaders. Instead of supporting growth, many have had to plan cutbacks or even the wholesale closure of a business. James Miller reflects on his own experience of emergency planning.
DataIQ Leaders briefing – Data integration: How to avoid being blocked by technology
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.
DataIQ Leaders briefing – Maintaining momentum in mature data and analytics functions
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.
DataIQ Leaders briefing – 7 tips for building the talent funnel
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.
DataIQ Leaders briefing: Measuring the impact of data science
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.
DataIQ Leaders briefing – Is the CDO still aiming for the board?
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.
DataIQ Leaders briefing – Managing agile analytics
Agile analytics is gaining traction as a way of working. Its appeal is the ability to flex resources, responding to both short deadlines and long-term development projects, while providing practitioners with a good mix of challenges. For managers, it requires a different approach from conventional analytics. This white paper considers some of the key things to consider when adopting agile in the data and analytics function.