Tag: Technology & Tools

CDO Challenges – Delivering a return on data investment
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CDO Challenges – Delivering a return on data investment

For a CDO, proving return on investment to a senior audience can be a daunting task and one that does not have an obvious starting point. In this edition of CDO Challenges, we will investigate methods of demonstrating ROI for data.
CDO Challenges – What it takes to be a leader
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CDO Challenges – What it takes to be a leader

In this instalment of CDO Challenges, we examine what it takes for data professionals to become a leader in their organisation, focusing on skills and attitudes that are required to drive a business to new data heights.
DataIQ Member’s briefing – What do we do when bad data things happen to good data tech?
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DataIQ Member’s briefing – What do we do when bad data things happen to good data tech?

Despite best efforts and forward planning, problems arise in all shapes, sizes and seriousnesses within data. So, what do we do when bad data things happen to good data tech? DataIQ members came together to explore past experiences, how they were handled and what can be learnt from them to help other data leaders prepare for potential problems in the future.
AI regulation policy and the impact on organisations
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AI regulation policy and the impact on organisations

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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Should businesses decentralise data to keep evolving?

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 Leaders briefing – Enhancing the status of data
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DataIQ Leaders briefing – Enhancing the status of data

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.
DataIQ Leaders briefing – Best practice for keeping your tech stack on point
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DataIQ Leaders briefing – Best practice for keeping your tech stack on point

At a DataIQ Leaders roundtable in November 2021, members discussed how they are cultivating their tech stacks in the digital world. The conversation focused on the role of governance in scaling up, issues around the democratisation of technology and the relationship between technology and recruitment.
Four principles to balance personalisation and data protection
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Four principles to balance personalisation and data protection

Talk of contact tracing apps to tackle COVID-19 serves to highlight the difficult balance between using data to personalise services and robust data protection. Whether your organisation is involved in building these solutions or not, Craig Suckling of IAG Loyalty suggests there are four principles to keep you on the right side of your customers.
DataIQ Leaders briefing – Data integration: How to avoid being blocked by technology
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DataIQ Leaders briefing – Data integration: How to avoid being blocked by technology

According to recent research carried out by DataIQ, around two-thirds of organisations (63.6%) are pursuing customer data integration as part of their digital transformation. Yet only one in ten (10.2%) have achieved this nirvana. This whitepaper considers the challenges of enterprise-wide data integration across the data estate.
Assess biased algorithms with an ethical matrix
Article

Assess biased algorithms with an ethical matrix

Cathy O’Neil is the author of the seminal book Weapons of Math Destruction, a book detailing how algorithms can deliver and amplify negative outcomes to the most vulnerable people in society. In a presentation at Teradata Universe, she talked about the concept of an ethical matrix and how these could objectively assess the positive and negative impact of algorithms on their stakeholders.