Why data has a better idea of how to run your business

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If you could rebuild your organisation and its processes from the ground up with data and analytics at its heart, would you? For many organisations, it takes a crisis to tackle such a profound transformation. But as David Reed points out, this year’s Grand Prix winner, Jaguar Land Rover, is proof that courage has rewards.

Proven techniques to get data to the boardroom

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Where data scientists sit in your organisation is vital. We asked those who have made it into the DataIQ 100 to share their views on how to get data a seat at the boardroom during strategic discussions.

DataIQ Members briefing: Attracting, nurturing and retaining talent – tips from the DataIQ 100

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Over a quarter (27%) of the DataIQ 100 2022 edition say that the demanding market for data skills and difficulties in finding talent are a significant issue for their data plans. A variety of approaches are being adopted to resolve the problem, ranging from recruiting out of non-traditional backgrounds to providing ongoing skills development. This briefing lays out the common points identified from an analysis of this year’s Q&As. 

DataIQ Awards 2022 Book of the Night

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The standard has been extremely high and the competition fierce for the 2022 DataIQ Awards – the data industry’s most prestigious awards. Read about each organisation, team and individual that has been crowned a 2022 DataIQ Awards winner.

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.

AI regulation policy and the impact on organisations

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Following the announcement of the latest government policy paper, “Establishing a pro-innovation approach to regulating AI”, DataIQ’s Peter Galdies examines how these new policies may impact organisations and his thoughts on real-world issues that may arise for DataIQ members because of the new policies being announced.

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.

DataIQ Member’s briefing – Is finance the next big skills area for data leaders?

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Finances rule a huge part of business operations, so should data leaders consider finance skills the next big area of focus? There has been ongoing debate about how data teams can communicate with other departments and how this influences the value and standing of data. A group of DataIQ members explored the ways in which delving into finance skills could be the next way to improve businesses.

Upskilling Data Leaders

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We have asked those who have made it into the DataIQ 100 to share their views on what key skills contribute to success and how to develop those skills. In this guide we share what some of the industry leaders who have made the list believe is fundamental in achieving success in these areas

DEI in data: Many bridges still to cross

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Diversity is essential for a well-rounded, functioning data office and implementing a recruitment approach that understands intersectional diversity is the way forward. Research indicates that highly diverse teams produce better results with reduced algorithmic bias, which is a necessity for organisations aiming to be leaders in their field.

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.

DataIQ Leaders briefing – How do we ensure data keeps its seat in the big conversations?

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How can data offices and data leaders maintain their position at the table for large organisational conversations? In recent years, data offices have worked hard to establish their value and legitimacy, so how can this continue now that data is a regular part of beard discussions? A recent DataIQ roundtable discussed the different ways that this can be achieved.

DataIQ Leaders briefing – What gets HR onboard with the right role definitions for analysts?

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The ongoing staffing difficulties for the data community requires collaboration with HR offices, but how can the data team ensure that HR is sourcing the best candidates for the job? A recent DataIQ roundtable examined the question “what gets HR onboard with the right role definitions for analysts?” and discussed ongoing issues facing data teams looking to retain staff and fill gaps.

DataIQ Leaders briefing – Enhancing the status of data

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DataIQ members delved into the question “Do data platform projects enhance the status of data, or reinforce the perception that it is a technology function?” at a roundtable in April 2022. The conversation honed in on the ideas of business language and the importance of building a case to demonstrate value to enhance data’s status.