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CDO Challenges – Building data literacy across an organisation

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In this ongoing series, DataIQ examines the challenges faced by CDOs such as how data literacy can be built across an entire organisation. We will look at where CDOs can identify the starting points and the introductory steps that can be taken to create a foundation for business-wide success.

5 reasons why data literacy is so hard to achieve

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Just as owning a Ferrari does not make you a Formula One driver, so having built a centralised data asset does not make your organisation data literate. Plenty of obstacles get in the way of building out a shared culture and set of behaviours. David Reed identifies five typical challenges.

Should businesses decentralise data to keep evolving?

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It is widely accepted that for many business structures decentralisation is the way forward, but how far should a business decentralise to continue its evolution? In this article, DataIQ provides an overview of the three main decentralisation options and their pros and cons.

More than just a number: Expressing the non-financial value of data

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An ongoing struggle for those working in data and analytics has been communicating the value of data outside of common metrics such as financial implications. DataIQ member Ordnance Survey discusses highlighting real-world impacts of data and the use of storytelling to further legitimise the standing of data in an organisation and to improve a wider understanding outside of the data office.

Levelling up data positions: Regional salary differences and remote working

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In the UK, London has always been the centre for the highest paying positions followed by other major cities, but with the development of remote working capabilities this trend may not be true much longer. A recent report has shown that the gap between pay for similar data jobs across the UK has been decreasing rapidly.

Maintaining Possession: Examining the growth of data in football

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Data teams have been readily adopted in the corporate world, but the uptake of data offices in professional football has been slower. To take us through the developing world of football data, Luke Stopforth, head of data and technology at Brentford FC sat down with DataIQ to discuss the ways in which Brentford FC helped add momentum to the adoption of data offices, how data is being used at the highest levels of competitive football and the concerns surrounding ownership.

Howzat? The data behind sport

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The variation in gameplay for cricket is diverse thanks to multiple competition formats and intricate data knowledge can make the difference for a test match lasting five days. To explain this in more detail, Hannah Jowitt, Disability and Pathway Analyst at the England & Wales Cricket Board, spoke with DataIQ to explore the changes in cricket data in recent years, where it looks set to go and how data is helping select the future stars of the sport.

Reach for the stars: How The Telegraph is deploying editorial analytics

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How is traditional print media adapting to the digital changes and demands of the modern reader? DataIQ sat down with Emma Wicks, head of editorial insight and analytics at The Telegraph, to discuss the evolving landscape for content, how journalism uses metrics and how a well-established business is keeping up with new platforms.

Keep your eye on the ball: How data analysis is impacting football in Spain

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Football is the number one sport in the world, but how can it be improved for players, teams, fans and more? Rafael Zambrano, head of data science at LaLiga, spoke with DataIQ to explain where data and analytics were for Spain’s top flight football league and where it is set to go in the future.

How the Data Science Campus is driving up data literacy in Whitehall

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During the pandemic, data has underpinned policies that have placed unprecedented restrictions on our everyday lives. Naturally, this has brought a greater degree of public scrutiny to the application of data in government decision making. To that end, the Data Science Campus has been running a “data masterclass for senior leaders” course since late 2020 – with the aim of driving up data literacy in Whitehall.

AI in Formula E: Winning on the racetrack – and against climate change

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Formula E is defined by cutting-edge technology and fine margins. All participating vehicles are built on the same chassis and powered by the same battery. Uniformity of hardware means that teams rely on data and insight to gain strategic advantages. The Envision Virgin Racing Team has partnered with professional services firm Genpact to maximise its drivers’ chances on the track.

Next slide please: How Covid made data literacy a public skill

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A lack of knowledge can cost lives during a crisis. As the virus spread Government departments and public bodies had to quickly learn how to present data to the public – placing a renewed focus on data literacy. Data practitioners are hopeful that this focus will continue long after the pandemic passes into the rear view mirror.