DataIQ

DataIQ

Information Services

London, England 21,274 followers

DataIQ is the trusted global collaboration and intelligence platform for data leaders.

About us

Founded in 2011, DataIQ is the trusted global collaboration and intelligence platform for data leaders. Now the largest community of senior data and analytics executives we accelerate our members’ journey to superior performance, through facilitating peer to peer networking, confidential capability benchmarking, providing access to our unique in-depth insight, practical tools, soft skills development of their teams, and the expert guidance they need to transform data and analytics into a critical business success driver.

Industry
Information Services
Company size
11-50 employees
Headquarters
London, England
Type
Privately Held
Founded
2011
Specialties
Data Advice, News, Market Insight, Reports & Whitepapers, Research, Events, and Awards

Locations

Employees at DataIQ

Updates

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    21,274 followers

    🎉 Welcome to our new DataIQ Members! We're thrilled to announce that Stefania Gvillo's team at Domino's and Abhishek K.'s team at Barclays UK have joined our trusted global community of data leaders. View the organisations that are already #DataIQMembers: https://lnkd.in/eht4Ub4i Are you a #CDO looking to unlock your team's full potential? DataIQ membership connects you to a global network of CDOs, #CAOs and other #data and #AI leaders, equipping you and your team with the essential connections, knowledge and expertise to make better decisions and build better businesses. Get in touch and see if you qualify for membership: https://lnkd.in/epVwfJMQ

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    21,274 followers

    𝐀 𝐟𝐚𝐢𝐥𝐮𝐫𝐞 𝐢𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐢𝐬 𝐟𝐚𝐢𝐥𝐢𝐧𝐠 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐬 Many digital initiatives fail due to a lack of training on new tools. While budgets for #AI and generative AI are increasing, funding for training remains limited. As a result, less than half of digital transformations succeed, as new #technologies require proper training to be effective. The rapid adoption of new technologies has outpaced the necessary training, leading to wasted #data investments and weakening the data office. So, what can be done? ➡️ Understand the skills gap  ➡️ Develop tailored training programmes  ➡️ Integrate training into daily workflows  ➡️ A culture of continuous training  ➡️ Invest in skilled trainers 📑 Read the full article to explore training gaps in new tech and tools and discover the training opportunities DataIQ offers their members: https://lnkd.in/e5FPpP7m

    A failure in training is failing digital transformations

    A failure in training is failing digital transformations

    https://www.dataiq.global

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    𝗦𝘂𝗯𝗺𝗶𝘁 𝗬𝗼𝘂𝗿 𝗪𝗶𝗻𝗻𝗶𝗻𝗴 𝗘𝗻𝘁𝗿𝘆 𝘄𝗶𝘁𝗵 𝗢𝘂𝗿 𝗘𝗻𝘁𝗿𝘆 𝗚𝘂𝗶𝗱𝗲 Have you or your organization excelled in the #data and #AI industry over the past 12 months? Now’s your chance to get the recognition you deserve by entering the 2025 Data & AI Awards! 🌟 We’ve created a '𝗛𝗼𝘄 𝘁𝗼 𝗘𝗻𝘁𝗲𝗿 𝗚𝘂𝗶𝗱𝗲' designed to help you navigate the submission process. From choosing a category, to crafting a compelling story that resonates with our expert judges, this guide is your go-to resource for achieving award entry success in 2025. In this eBook, you will find the: ▪️ 𝗘𝗻𝘁𝗿𝘆 𝗽𝗿𝗼𝗰𝗲𝘀𝘀: Step-by-step instructions on how to submit your entry. ▪️ 𝗦𝘁𝗿𝗲𝗮𝗺𝘀 𝗮𝗻𝗱 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀: Discover the diverse range of awards honoring excellence in data and AI. ▪️ 𝗝𝘂𝗱𝗴𝗲𝘀: Meet the distinguished panel of judges who will be evaluating your achievements. ▪️ 𝗙𝗔𝗤: Get answers to all your questions about the awards. 📥 Download your FREE eBook today to ensure you have the essential information you need to submit a standout entry: https://lnkd.in/d_Cw5mG6 👉 Submit your free entry here: https://lnkd.in/eRiBs2bG

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    𝐇𝐨𝐰 𝐭𝐨 𝐨𝐯𝐞𝐫𝐜𝐨𝐦𝐞 𝐝𝐚𝐭𝐚 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧   Alex Hunt, Head of Data Analytics and Automation at Grant Thornton UK LLP, discusses the main challenges CDOs face with #AI adoption and how to tame them. He highlights issues such as #data readiness, ethical AI deployment, and managing the transformation journey:   🔹 𝐂𝐃𝐎𝐬 𝐭𝐚𝐤𝐞 𝐜𝐞𝐧𝐭𝐫𝐞 𝐬𝐭𝐚𝐠𝐞   CDOs are central AI adoption, driving data-driven decisions while ensuring ethics, security, and privacy. Hunt states, “the growing reliance on data-driven insights, rapid AI advancements, and focus on data ethics has created a dynamic landscape for CDOs.”    🔹 𝐀 𝐝𝐞𝐥𝐢𝐜𝐚𝐭𝐞 𝐛𝐚𝐥𝐚𝐧𝐜𝐞 𝐟𝐨𝐫 𝐀𝐈 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧  AI adoption requires #CDOs to balance the need for quick results with upholding ethical standards and data privacy. As #generativeAI and evolving technologies reshape data management, CDOs must ensure data readiness and alignment with business goals and key objectives: ◾ Connecting AI to tangible value ◾ Safeguarding ethics and privacy ◾ Promoting data literacy across the organisation ◾ Driving innovation through data-driven decision-making.   🔹 𝐇𝐨𝐰 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐚 𝐬𝐦𝐨𝐨𝐭𝐡 𝐭𝐫𝐚𝐧𝐬𝐢𝐭𝐢𝐨𝐧  Data leaders must prioritise data quality and governance, fostering organisation-wide literacy to build a strong data culture. Aligning data initiatives with business goals ensures measurable outcomes and ROI, especially with tools like #genAI. “GenAI is a crucial tool to tackle new problems and foster innovation as industries transform in 2024,” said Hunt.   Explore the full article to uncover all the key challenges discussed: https://lnkd.in/ejaMqPg4

    How to overcome data challenges with AI adoption

    How to overcome data challenges with AI adoption

    https://www.dataiq.global

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    𝟐𝟎𝟐𝟓 𝐃𝐚𝐭𝐚 & 𝐀𝐈 𝐀𝐰𝐚𝐫𝐝𝐬: 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐞𝐚𝐦 The Innovation stream harnesses creative uses of data and #technology to drive new processes, services, and performance. From using #data to solve business challenges to the impactful applications of #AI. View the categories below: 🏆 AI-enabling Solution of the Year ▪️ View the 2024 winner: Blend - https://lnkd.in/dQW_9TRF 🏆 Best Responsible AI Program or Initiative ▪️ View the 2024 winner: Scotiabank - https://lnkd.in/dGehEA-Y 🏆 Most Innovative Use of AI ▪️ View the 2024 client-side winner: Scotiabank - https://lnkd.in/d6jX3ci8 ▪️ View the 2024 vendor-side winner: CoreLogic - https://lnkd.in/dwhTByze 🏆 Transformation with Data and AI ▪️ View the 2024 client-side winner: Ally - https://lnkd.in/d8t6fFd9 ▪️ View the 2024 vendor-side winner: EY - https://lnkd.in/dcdQRQU5 ➡️ Submit your entry today and showcase how your organization is driving innovation with data and AI: https://lnkd.in/eRiBs2bG

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    𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐀𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡𝐢𝐞𝐫 𝐂𝐡𝐨𝐢𝐜𝐞𝐬 𝐚𝐭 𝐒𝐚𝐢𝐧𝐬𝐛𝐮𝐫𝐲'𝐬 Data can help the public become healthier when applied correctly with personalisation, and Sainsbury’s is a prime example of making that a reality. Alex Jardine, Director of Analytics, Sainsbury's, spoke to attendees of the 2024 DataIQ 100 Summit to explain how Sainsbury’s leverages its extensive data from its Nectar Loyalty programme to personalise offers, driving customer engagement and loyalty. Sainsbury’s has a huge pool of data to work with – more than 18 million digitally registered customers – so the scale of the personalisation programme was formidable. Here's a glimpse into their incredible approach: 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢s𝐞𝐝 𝐇𝐞𝐚𝐥𝐭𝐡 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬: By analysing past purchases and dietary preferences, Sainsbury's suggests healthier alternatives, promoting well-being without compromising convenience. 𝐆𝐚𝐦𝐢𝐟𝐢𝐞𝐝 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 & 𝐑𝐞𝐰𝐚𝐫𝐝𝐬: Fun and engaging initiatives like "fruit and vegetable challenges" incentivise customers to make healthier choices, leading to a 200% improvement in product health scores! 𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐉𝐨𝐮𝐫𝐧𝐞𝐲: Whether online or in-store, personalised recommendations guide customers towards better, balanced choices. The results speak for themselves - a 130 million increase in fruit and vegetable sales and a win-win situation for both customer health and business growth. Head over to the full article (link in comments!) to learn more about Sainsbury's industry-leading approach.

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    𝟮𝟬𝟮𝟱 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗔𝘄𝗮𝗿𝗱𝘀: 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗔𝗜 𝗳𝗼𝗿 𝗚𝗼𝗼𝗱 𝗦𝘁𝗿𝗲𝗮𝗺 The Data and AI for Good Stream highlights how #data and #AI are driving positive change in health, wellbeing, #ESG, and not-for-profit sectors. It recognizes teams using data to support personal and business goals, tackle global challenges, as well as outreach programs to increase understanding of our sector. View the categories below: 🏆 Environmental, Social, and Governance (ESG) Data and AI Award ▪️ View the 2024 winner: Schneider Electric - https://lnkd.in/egTCA6GM 🏆 Data and AI For Good Hero Organisation Award ▪️ View the 2024 winner for Best Use of AI for Not-For-Profit or Non-Commercial Purposes: Destination Canada - https://lnkd.in/ewzKTxk2 🏆 Data and AI for Good Champion ▪️ View the 2024 winner: Dr. Seth Dobrin, Qantm AI, LLC. - https://lnkd.in/e-kV-8qX 🏆 Best Use of AI for Healthcare Award ▪️ View the 2024 winner: Carelon - https://lnkd.in/e_KJT7Ea If you or your organization are making a positive difference through the power of data, submit your free entry here: https://lnkd.in/eRiBs2bG

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    𝗧𝗵𝗲 𝗽𝗮𝘁𝗵 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘃𝗮𝗹𝘂𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜𝗢𝗽𝘀 💡 AIOps is crucial for overcoming challenges in AI deployment and scaling. Data Reply UK emphasised this at the 2024 #DataIQ100 Summit. While many decision-makers are excited by the potential of #ML, #AI, and #generativeAI to revolutionise industries, they often overlook the complexities of implementation. Data Reply explained how #AIOps ensures smooth adoption, unlocking production success and actionable value. 𝙎𝙘𝙖𝙡𝙞𝙣𝙜 𝘼𝙄 𝙖𝙣𝙙 𝙞𝙩𝙨 𝙤𝙗𝙨𝙩𝙖𝙘𝙡𝙚𝙨  DataIQ members face challenges integrating #data into AI models, often due to quality issues or lack of business interest. Ian Spatz, Partner at Data Reply, emphasised that "the promise of genAI for business will be realised when companies trust that they can use internal data safely with the power of Large Language Models." 𝘼𝙄𝙊𝙥𝙨 𝙗𝙚𝙨𝙩 𝙥𝙧𝙖𝙘𝙩𝙞𝙘𝙚𝙨 AIOps helps businesses identify and resolve infrastructure issues, streamline workflows, and implement scalable solutions. By integrating AIOps, organisations can eliminate bottlenecks, improve efficiency, and future-proof their operations, allowing data leaders to deliver value quickly and effectively meet scaling demands. 👉 Read the full article here: https://lnkd.in/e9rcd8Qb

    The path to production and value with AIOps

    The path to production and value with AIOps

    https://www.dataiq.global

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    💡 𝗪𝗶𝗻𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘀𝘁𝗿𝗼𝗻𝗴 𝗱𝗮𝘁𝗮 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗶𝗻 𝟮𝟬𝟮𝟱 Efficiency is crucial for data, and no business function can achieve it without the #data office leading the way. Data's core purpose is to drive efficiencies across departments, making it essential for the data office to operate at its highest level of efficiency. 𝗗𝗮𝘁𝗮 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗯𝗮𝘀𝗲 𝗹𝗲𝘃𝗲𝗹 Data efficiency optimises processes like storage, access, and sharing to make data accessible, manageable, and cost-effective. Data leaders should assess efficiency across the business to establish a baseline. Improved data efficiency leads to:  ➡️ Higher quality analytics  ➡️ Improved productivity  ➡️ Reduced costs 𝗡𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗼𝗼𝗹𝘀, 𝗯𝘂𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝘁𝗼𝗼 Tools alone don’t solve problems; trained people do. Data leaders must build data literacy by addressing gaps and ensuring teams are equipped to handle and protect data. As businesses grow, supporting new talent to meet evolving data standards is crucial. 𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗹𝗮𝗿𝗴𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 Effective data categorisation is crucial, particularly for large or legacy businesses. Accurate labeling reduces duplication, saves costs, and ensures quick access. 𝗔𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗮𝗰𝗰𝗲𝘀𝘀 𝗲𝗾𝘂𝗮𝗹𝘀 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 Unleveraged data often results from inefficient storage. Introducing a "hot and cold" storage model—where high-performance solutions are used for frequently accessed data and lower-cost options for infrequent data. This approach reduces waste, and supports a stronger data culture. 👉 Read the full article to learn how to discover effective strategies for improving data efficiency. https://lnkd.in/dWV5D2n9

    Winning with strong data efficiency in 2025

    Winning with strong data efficiency in 2025

    https://www.dataiq.global

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    𝟮𝟬𝟮𝟱 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗔𝘄𝗮𝗿𝗱𝘀: 𝗣𝗲𝗼𝗽𝗹𝗲 𝗮𝗻𝗱 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 𝗦𝘁𝗿𝗲𝗮𝗺 The People and Culture stream celebrates the leadership and talent driving data-driven organizations. It recognizes individuals and teams who foster inclusive, thriving cultures and highlights projects that transform company culture and promote diversity, equity, and inclusion. View the categories below: 🏆 𝗕𝗲𝘀𝘁 𝗣𝗹𝗮𝗰𝗲 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗶𝗻 𝗗𝗮𝘁𝗮 & 𝗔𝗜 - 𝗖𝗹𝗶𝗲𝗻𝘁 𝗦𝗶𝗱𝗲 ▪️ View the 2024 winner: Mars Wrigley - https://lnkd.in/ecJ5-gBg 🏆 𝗕𝗲𝘀𝘁 𝗣𝗹𝗮𝗰𝗲 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗶𝗻 𝗗𝗮𝘁𝗮 & 𝗔𝗜 - 𝗩𝗲𝗻𝗱𝗼𝗿 𝗦𝗶𝗱𝗲 ▪️ View the 2024 winner: Blend - https://lnkd.in/eRp6xsRn 🏆 𝗕𝗲𝘀𝘁 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗧𝗲𝗮𝗺 ▪️ View the 2024 winner: Department of the Air Force Chief Data and AI Office, AI Division - https://lnkd.in/epGwyjuz 🏆 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗟𝗲𝗮𝗱𝗲𝗿 𝗼𝗳 𝘁𝗵𝗲 𝗬𝗲𝗮𝗿 ▪️ View the 2024 winner: Venkat Gopalan, Belcorp - https://lnkd.in/eUrsBp9t Want to earn the same recognition? If your organization is building a thriving data culture and championing diversity and inclusion, submit your entry here: https://lnkd.in/eRiBs2bG 🔜 Stay tuned for our 'How to Enter guide', coming soon, packed with valuable tips and insights to help you enter!

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