Sainsbury’s personalisation at scale for actionable benefit customer health
Data can help the public become healthier when applied correctly with personalisation, and Sainsbury’s is a prime example of making that a reality.
DataIQ unveils the 2025 Future Leaders
The DataIQ Future Leaders for 2025 have been announced, highlighting the prowess of the talent pipeline for data industry leaders.
The path to production and value with AIOps
DataIQ partner Data Reply examines how data leaders can overcome challenges surrounding AI deployment and scaling to achieve rapid success.
How to win adoption of your data
Data leaders from Coventry Building Society and Specsavers sat down with David Reed at the DataIQ 100 Summit to examine strategies for data adoption in different organisations.
TfL – Making data matter when every journey matters
With events such as the Olympics and a pandemic impacting operations, how did data keep TfL running on time?
The Crown Estate – Using data to create lasting and shared prosperity for the nation
The Crown Estate manages land and marine assets across the UK and has a goal to harness data and AI to drive sustainable development to maximise the value of its assets for the nation.
AI adoption and change preparation
AI adoption and change cannot happen overnight, so how are the DataIQ community preparing for this new era of data? WNS Analytics provides some answers.
Winning with strong data efficiency in 2025
Efficiency is the name of the game with data, and no other business function can achieve maximised efficiency without the data office taking the lead.
Budgets and priorities for 2025 success
Data leaders need to address budget constraints and alignment priorities for the coming year to ensure success, growth, and security.
Submit your nominations for the 2025 DataIQ 100
Those included in the DataIQ 100 have demonstrated exceptional dedication to the progression and development of data and analytics through their role and career.
Measuring the business impact of AI use cases
Matt Fitzpatrick, Senior Partner at QuantumBlack, AI by McKinsey shared his views on how AI use cases can be measured for impact and successful scaling in an age where AI and genAI tools are becoming essential.
3 data culture dos and don’ts
Developing data culture can take time and be confusing for non-data professionals, so here are some key things to keep in mind when promoting data culture.
The public has legitimate AI fears, so what can organisations do?
A new viral post on social media demonstrates the public’s concerns around AI, emphasising the need for data leaders to ensure trust and transparency.
New AI Maturity Assessment available for DataIQ members
The DataIQ AI Maturity Assessment gives DataIQ members exclusive access to assess the readiness of their AI functions and receive recommendations to reach the next level.
dbt Labs: Governance in an era of democratisation and self-service
As businesses begin to embrace better data democratisation and self-service, the focus on governance should be further enhanced.
The decline of DEI in data in 2024: The bell tolls for thee
Despite the proven benefits of DEI in data, the closure of The Tech Talent Charter and anti-DEI rhetoric by influential individuals is delivering a death knell to the success of data teams.
Embedding data and AI culture to measure business value through literacy programmes
Multiverse hosted a roundtable at the 2024 DataIQ 100 Discussion where members delved into how they are achieving value through data and AI cultures and improving literacy.
The Critical 7: Scaling to production level AI
DataIQ partner Blend provides insight into seven essential aspects of successful scaling with your future AI.
From Analyst to Architect: The CDAO’s blueprint for AI transformation
Explore the key traits and strategies from DataIQ’s Top 100 that emerging leaders can adopt to navigate data challenges and drive data-driven transformation.
AI Revolution – Essential insights from the DataIQ 100 Summit
How can data leaders conduct a successful AI revolution? With AI dominating the conversation in recent months, the US DataIQ 100 Summit examined the topic in depth.