From Index Cards to AI: Why We Are Still Fighting Yesterday’s Data Battles

Hi We're still fighting yesterday's data battles (and why AI won't magically fix it) Remember the days of index cards and green screen monitors? I do – because that's where my professional journey began. Fast forward to today: we're talking AI, quantum computing, and a pace of business that feels like warp speed. Yet, amidst all this incredible progress, many organizations are still wrestling with the same fundamental data challenges that have plagued us for over two decades. We built a data warehouse, but the data is still unreliable. We created a data lake, but it's unclear who actually owns the data. We have brilliant data teams, but they're often held back by a lack of wider cultural support. Sound familiar? It’s a frustrating loop, isn't it? We keep investing in the latest technology, hoping for a silver bullet, only to find the underlying issues persist. And I'm here to tell you, AI alone isn't going to fix it – not yet, anyway. In my latest blog post, "From Index Cards to AI: Why We Are Still Fighting Yesterday’s Data Battles," I dive into: Why this cycle of "new tech, old problems" continues to trip us up. The critical role of human nuance – why we don't want AI to standardize every "Jennifer" out of existence. And most importantly: The 3 concrete actions you need to take TODAY to build a reliable, future-proof data foundation that truly supports your organization's tomorrow. It’s time to stop looking for the next shiny tool and start addressing the foundational actions we've been putting off. Ready to break the cycle and build a truly data-driven future? Read the Post Here

https://lizhendersondata.wordpress.com/2026/05/25/from-index-cards-to-ai-why-we-are-still-fighting-yesterdays-data-battles/

The board was updated every month. Nobody asked the right question.

A CDO called me after a programme was cancelled. Eighteen months. £1.3 million in consultancy fees. Nothing the business could use. The board had received updates throughout. Every single one was green. Nobody had lied. The milestones were hit. What the board never asked was the one question that would have changed everything. In my latest blog, I write about the gap that exists in almost every boardroom right now, and why the right question, asked before the programme turns red, is one of the most valuable things the right Non-Executive Director can bring to a board. You'll find: → Why "data quality is improving" is never the end of the conversation → What "on track" actually means to a programme team, and what it doesn't → How to raise the hard questions without derailing the room → The Friction Tax: the cost your board is not seeing because it has no name If it resonates, I'd love to know. Hit reply or share it with someone on a board who needs it. Liz --- Liz Henderson | The Data Queen Non-Executive Director · Board Advisor · Data and AI Strategy Author of the Data Leadership Series lizhendersondata.wordpress.com | LinkedIn: /in/dataqueenliz You're receiving this because you signed up for updates from The Data Queen. Unsubscribe at any time. Read the full blog below →

https://lizhendersondata.wordpress.com/2026/05/16/the-board-was-updated-every-month-nobody-asked-the-right-question/

What Every NED Needs to Know About Data Governance

What your board is not asking about data governance Hi Most NEDs will oversee a data governance failure before they oversee a data governance success. Not because they lack the capability. Because nobody told them what to look for. I've written a report specifically for non-executive directors and board advisors (And a CDO) who want to get ahead of this — before it lands on the agenda as a breach, a regulatory inquiry, or a strategic decision made on numbers nobody can vouch for. What Every NED Needs to Know About Data Governance Before Their Next Board Meeting covers: — The five things you actually need to understand (without becoming a data expert) — The warning signs most NEDs miss until it's too late — Twelve questions boards are not asking — including the five most likely to expose systemic failure — A Board Data Governance Readiness Scorecard you can use immediately — A practical 90-day framework for your next Board meeting The average cost of a data breach is now $4.88 million. The ICO's maximum fine is up to 4% of global turnover. Sixty-two percent of organisations say data governance is their single biggest barrier to AI adoption. These are not hypothetical risks. They are board-level accountability questions. If you'd like a word document copy of the report, or want to discuss what good data governance oversight looks like for your board, reply to this email. Liz Henderson The Data Queen Non-Executive Director & Board Advisor in Digital, Data and AI lizhendersondata.wordpress.com | linkedin.com/in/dataqueenliz

https://lizhendersondata.wordpress.com/2026/04/23/what-every-ned-needs-to-know-about-data-governance/

The Consulting Model Is Breaking…

The consulting model is breaking. Here's what replaces it. I've published a new piece on something I've been thinking about for a while. Most consulting firms are optimising a delivery model that is already starting to decay. What's emerging isn't an upgrade—it's a structural replacement. In the article I cover: — Why time-based billing is losing its logical foundation — The always-on consultant model taking shape — Three archetypes that will define the next generation of advisory firms — The questions boards and leadership teams should be asking right now It's a direct read. No hype. Best wishes Liz The Data Queen

https://lizhendersondata.wordpress.com/2026/03/24/the-consulting-model-is-breaking/

The AI Questions Every Board Must Be Asking

AI is moving faster than most organisations can govern it. Boards are being asked to make decisions that carry strategic, operational, and reputational risk—often without the clarity or assurance they need. In my latest post, I break down the practical questions every board should be asking to ensure AI is safe, responsible, and delivering real value. If you're looking for a clear framework, real-world scenarios, and a director-level view on what good governance looks like, this is for you. Read the full post and equip your board for what’s coming next.

https://lizhendersondata.wordpress.com/2026/01/15/the-ai-questions-every-board-must-be-asking/

Achieving Data Integrity in Social Housing: A Roadmap for AI Success

Artificial Intelligence (AI) is revolutionizing the social housing sector, improving operations and tenant engagement. Effective AI relies on high-quality, reliable data; poor data integrity can lead to significant issues, including misallocation of resources and compliance failures. Social housing providers must establish solid data foundations through clear strategies, governance frameworks, and enhanced data quality. By breaking down silos, ensuring security, and fostering a data-driven culture, they can leverage AI effectively, paving the way for transformative changes in the sector.

https://lizhendersondata.wordpress.com/2025/04/15/achieving-data-integrity-in-social-housing-a-roadmap-for-ai-success/

The Hidden Risks in M&A: Why Data Due Diligence is Non-Negotiable

Mergers and acquisitions involve significant risks, particularly concerning data integrity. Often, sellers present curated data that can mislead buyers about revenue and operational efficiency. Insufficient focus on data quality during M and A can lead to inflated valuations and unforeseen liabilities once deals are finalised. The importance of rigorous data due diligence is evident through past failures, where poor data contributed to significant losses. Buyers must prioritize comprehensive assessments of data integrity to mitigate these risks and ensure successful integrations.

https://lizhendersondata.wordpress.com/2025/04/01/the-hidden-risks-in-ma-why-data-due-diligence-is-non-negotiable/