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.
In this edition, Cathy Pendleton, senior data governance manager at Compare the Market, talks to DataIQ about how to make the protection of data an enabler of new business processes and why this is proving to be an attractive new career option in the industry. Plus diversity at Hastings Direct and KPMG.
Leyre Murillo-Villar is chief data officer and data control lead at BNP Paribas. She is also a member of the Women in Data 20 in Data and Tech list. She told DataIQ about the need to close the gender gap and how data is at the heart of managing risk.
The problem with stereotypes is that they linger. There isn’t an informed individual on the planet who would argue that STEM industries (science, technology, engineering and maths) ought to be male-dominated, and yet, these sectors remain imbalanced towards male representation. This is partly down to the aforementioned stereotype that these sectors ought to be “man’s work”.
Lyndsay Weir is global data and analytics manager at Nestlé. At the Women in Data conference in November, she was named as one of the new list of female industry role models, the 20 in Data and Tech. She told DataIQ how being a female leader and role model can be done in a quiet way.
As the clean-up from Storm Dennis continues, the Met Office has revealed it is getting a new supercomputer - which will be one of the most advanced data gathering and information crunching systems ever - thanks to a £1.2 billion hand-out from the UK Government.
Businesses’ quest to adopt a data-driven culture is being hampered by a failure to extract the data insights decision makers need to turn their dreams into reality and, more worryingly, senior management’s misunderstanding of data strategy.
The vast majority (74%) of companies have finally woken up to the potential value of their data yet most (80%) still pass the buck, insisting that accountability for data strategy rests with technology leaders.