DataIQ Member Case Study: Heathrow – A lesson in data ethics success

Ethical data is one of the most important and delicate parts of the data process; Heathrow is a large organisation navigating the topic and ensuring that ethical data is adhered to.
DataIQ Member’s Briefing – What does great data literacy look like?

Data literacy definitions vary between organisations, but the results and goals are similar for everyone. DataIQ members debated what great data literacy should look like and why.
CDO Challenges – Recruitment in an era of skills shortages

This edition of CDO Challenges looks at one of the most long-standing issues facing data teams – recruitment and retaining talent – and how CDOs can entice the next generation to work with them.
The future of data: Anticipating industry-wide challenges for the year ahead
We have asked those who have made it into the DataIQ 100 to share their views on what they believe the most important and pressing challenges will be for data and analytics over the next 12 months
CDO Challenges – Being aware of data literacy problems

This edition of CDO Challenges delves into the problems non-data departments experience with data literacy which can hamper wider data culture development objectives.
Generative AI and what it means for real businesses

The findings of unique roundtables and a whitepaper about generative AI from DataIQ’s members and advisory board have been published for members to benefit from.
DataIQ Member’s Briefing – ChatGPT: What the DataIQ community thinks

Over the course of three unique DataIQ roundtables, members examined the role of generative AI tools and what can be expected from their implementation.
DataIQ Advisory Report – Generative AI: How to land your project with an AI co-pilot

This whitepaper from DataIQ delves into the new world of generative AI pulls together the insights discussed at three roundtable and at the DataIQ Advisory Board meeting in May 2023.
DataIQ Member’s Briefing – Technology and tools: Is our data tech keeping pace?

DataIQ members came together for a roundtable discussion on whether the development and implementation of data tech is matching the pace required.
Compliance and the importance of GDPR five years on

With the fifth anniversary of the GDPR being introduced, it is important for businesses to examine why it is necessary and how they can best prepare for the next evolution of GDPR-style regulations.
Are you being served? Consumer duty and its impact on data

Compliance and regulation are part and parcel of working with data. Consumer duty has recently been reworked and businesses need to ensure they provide the best care for their customers.
NetApp and Aston Martin F1 – Driving data to the top

The volume of data required to be a world champion team in Formula 1 is staggering. NetApp, a partner of the Aston Martin F1 team invited Alex Roberts to see the data under the bonnet.
Assessing and promoting the value of data

Education and communication are essential to harness the optimum value of data and data professionals in an age where technical capabilities are being pushed to new frontiers.
Technophobia – The fear that data businesses should be scared of

Technophobia is a problem with many facets that vary between teams and organisations, so what can be done to address the problem without alienating staff?
The CMA begins a review into AI models

The UK’s Competition and Markets Authority (CMA) is examining AI foundation model development and use to ensure competition laws are met and consumer protections are in place.
CDO Challenges – Look a little closer… The essential skill of data visualisation

This edition of CDO Challenges delves into data visualisation. By mastering the art of data visualisation, data leaders can deliver hard-hitting pieces of evidence to non-data professionals in a way that is digestible and resonates with their aims.
Unlocking value at ITV with Data Mesh and Thoughtworks

ITV partnered with Thoughtworks to implement a data mesh approach in a reimagining of data use for content production, promotion, distribution and monetisation in a way that is scalable and shareable.
Tech investments ease the pressure of utilising data

With data being touted as the new oil and the rapid increase of data capture capabilities, businesses must invest in tech and tools to create a data-driven operation that extracts quality from data.
OS Select+Build – Data to order

Ordnance Survey’s new approach to distributing data showcases the scale of data use and prepares for a future of continued data hunger from users.
AI for BI – The inevitable and exciting future for data

The use of artificial intelligence for businesses has escalated dramatically in recent years and there is good reason for this trend. However, there are some caveats to bringing in a new AI tool without fully understanding its capabilities.