Leaders Reports & Content

DataIQ Leaders briefing - Is data management an IT-managed or standalone function?
Is data management turning into IT, given the extent of the supporting technology required by the data and analytics function? With new tools constantly being launched, this whitepaper, based on a DataIQ Leaders discussion, considers key decision points in where to site this function and what its true purpose should be.
DataIQ Leaders briefing - The 4 habits of effective analytics teams
Based on conversations with more than 70 data and analytics practitioners drawn from 27 different organisations, this briefing identifies four habits which can ensure that the analytics team and its leader engage and deliver to the business effectively.
CARBON™ Guidance - Adopting agile analytics
Agile has been gaining favour as a methodology outside of its birthplace of software development. Data and analtyics are the latest functions to adopt this working practice. This guidance explains how to transfer the methods successfully.
DataIQ Leaders briefing: Making the business case for data and analytics
Data and analytics needs to compete for investment funds against all other departments in the organisation. So what are the compelling bases for the argument that will help it to win? This whitepaper synthesises thoughts from a DataIQ Leaders dinner discussion on the subject.
DataIQ Leaders briefing: Automation makes its mark
Just under half of UK organisations are already using automation in some form, with the rest still delaying adoption out of concerns about skills, resources and outcomes. This whitepaper reports on the experiences of DataIQ Leaders members that were shared at a recent roundtable event.
DataIQ Leaders briefing - Should the data industry have a professional institute?
Professions have institutes to accredit members and certificate their knowledge. Data practitioners have no such professional body. Does this obvious gap present an opportunity and, if so, how should it be tackled? This article considers the issues considered during a DataIQ Leaders breakfast briefing on the subject.
DataIQ Leaders briefing - Economists square up to data to find a formula for its value
Putting a valuation on data as an asset has proven to be a cul de sac for most organisations. Yet governments are growing increasingly interested in how to extract more value from digital platforms through taxation. Which is why a growing number of economists are looking at new models for the value in data. This briefing explains their line of thought.
CARBON™ Guidance - Recruitment practices: Hiring from within
Recrutiing the data and analytics talent you need is a perpetual challenge, which is why looking at all possible sources makes sense. Within your organisation there may be a ready-to-go, untapped pool of skilled workers with the right understanding of your business. This whitepaper considers the pros and cons of hiring internally.
CARBON™ Guidance - Understanding how human capital impacts on transformations
Transformations are a constant aspect of business management and data and analytics are both agents and enablers of them. Yet even the best-planned change programme can stall or fail. Underlying these issues, however, there are predictable patterns and reasons why problems emerge. This whitepaper looks at how human capital is often at fault.
DataIQ Leaders Discussion: Do you need humanities as much as science?
With so much emphasis being placed on recruiting candidates from science, technology, engineering and maths backgrounds, it can seem as if STEM is the only skills set that should be considered. But given the importance of soft skills, such as communication and team working, to the success of a data and analytics function, this whitepaper considers where humanities could play a part.
Leaders discussion: Mental models of an effective analytics team
Team dynamics have a big impact on the effectiveness of the analytics function. Selecting the right candidates and understanding existing practitioners can be a worthwhile exercise for an analytics leader. This article looks at three psychological models that have gained traction in this discipline.
CARBON guidance: Turning the data and analytics function into a trusted advisor
The most advanced level of CARBON maturity sees the majority of senior management decisions being made on a stable base of trusted analytics with an ongoing feedback loop. This is by no means easy to achieve, however. This guidance looks at what builds trusted advisor status and the specific implications for data and analytics practitioners.
DataIQ Leaders briefing: CDO v CIO - the battle for the boardroom
DataIQ Leaders advocates the presence of a chief data officer in organisations and that CDO is a board-level position. But that is not how every firm sees it, with a number appointing or moving their data officer into the CIO's team. David Reed considers the arguments against this approach.
CARBON guidance: Knowledge management - Turning data and analytics into a contact sport
As data and anaytics teams build innovative, transformative solutions and processes, the role of knowledge management becomes ever more important. Rather than leaving the understanding of how those assets were created locked up in the minds of practitioners, it needs to be formalised, documented and shared. This whitepaper considers how to apply knowledge transfer in this domain.
Key factors in deciding where to place your data organisation
Data and analytics may already exist in your organisation as expert practitioners within different functions. But that is not the same as having a data and analytics function. When deciding to create this as a standalone unit, a critical issue to settle is where it should sit in the broader organisation. This article considers possible options based on DataIQ Leaders member experiences.
Build and future-proof your skills with DataIQ Leaders
If data and technology are creating what has been called the Fourth Industrial Revolution, then data and analytics functions (D&A) find themselves right at the heart of this transformation. This article maps the skills you need now and in 2020 against the DataIQ Leaders programme to help you find the resources to equip yourself.
CARBON guidance: Improving soft skills in the data and analytics function
This guidance whitepaper considers how organisations should map soft skills, support teams in developing them, incentivise improvements and measure these abilities from the top down. It is intended to help DataIQ Leaders members to improve their scores on these factors when undertaking a CARBON™ assessment. 
CARBON guidance: Moving from data silos to data assets
With every new system adopted by an organisation, data proliferates. Without the right management and governance, these sources soon become silos. The result can be an incomplete view of the business and its customer base, as well as flawed processes and lost value. This guidance whitepaper offers insights into how to improve your CARBON capability around data management.
CARBON guidance: “It’s not always the weather” - Optimising KPI development and delivery
Business intelligence is often the entry point for data transformations. As such, it brings the data and analytics teams into direct contact with lines of business to refine, support and deliver key performance indicators. This guidance whitepaper offers insights into how to improve your CARBON capability around this business-critical area of activity.
CARBON guidance: Building a data lab
Data science has been a focus for investment by organisations seeking to mature their data and analytics capability for the last five years. This briefing paper offers insights into how to improve your maturity score by creating a data lab,



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