Articles

AI Hallucinations: Why Data Quality Matters More Than Ever

Trust – but verify! AI hallucinations, which occur when AI generates false information confidently as fact, present significant challenges and risks for organizations. A recent case involving Deloitte illustrates the dangers of unchecked AI, highlighting the critical role of data quality and governance in preventing such issues. Striving for accuracy, relevance, and human oversight is essential to develop trust in AI systems.

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Do You Have Data Puddles, a Data Lake, or a Data Swamp? What This Means for Your AI Initiatives

Effective AI implementation relies on a well-structured data landscape. Organizations face challenges with “data puddles,” which create silos, “data lakes” that provide organized access, and “data swamps,” which hinder AI initiatives. Success requires governance, metadata management, and purposeful data strategies to transform chaos into a competitive advantage, maximising AI’s potential.

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From Data Lakes to Logical Data Strategies: What's Next for Enterprise Data?

Enterprise data is shifting towards strategic, distributed models, moving away from centralized data lakes, which often become unmanageable. Successful organisations prioritise how data flows and connects, implementing domain-led approaches that enhance autonomy, governance, and compliance. This evolution supports AI readiness, with a focus on metadata management as critical for effective data utilisation and business value delivery.

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Why Your Team Needs a Database Design Specification: Purpose, Audience, and Impact

A comprehensive database design specification is crucial for organisations as it serves as a blueprint for data structure, ensuring alignment among stakeholders. It helps prevent costly redesigns, enhances data quality, supports scalability, and fosters collaboration between teams. Regular updates ensure its relevance. It is ultimately improving business outcomes and reducing development costs for rework.

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Data Platform importance and the Fivetran and dbt merger

The Fivetran-dbt Labs Merger: What It Means for Enterprise Data Leaders

Fivetran is in advanced talks to acquire dbt Labs, potentially valuing the merger between $5 billion and $10 billion. This consolidation signals major shifts in the data ecosystem, impacting vendor risk and prompting enterprises to reassess their strategies. The merger could enhance integration and drive AI initiatives but may increase vendor lock-in concerns.

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Securing enterprise spreadsheets

Securing Schrödinger’s Spreadsheets: Next-Generation Protection for the Enterprise

The modern challenge of spreadsheet security in organizations arises from the assumption that unexamined data is safe. With Excel widely used, many overlook the necessary security protocols. Common pitfalls include using email attachments, version control chaos, and inadequate password protections. Implementing robust data classification, access controls, and cloud-native security measures is essential for safeguarding sensitive information.

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The Church of England’s Data Federation problem with third-party Breaches: A Personal View along with GDPR and Technical considerations

The Church of England’s recent data breaches serve as a stark reminder that even organisations handling the most sensitive personal information can fall victim to preventable security failures. In August 2025, two separate incidents exposed fundamental weaknesses in data protection protocols, affecting some of society’s most vulnerable individuals: abuse survivors and those undergoing safeguarding checks.

These breaches offer critical lessons for any organisation handling sensitive personal data, particularly those serving vulnerable populations. The technical and procedural failures reveal gaps that exist across the Church of England and its engagement of third-parties, making this case study essential reading for data protection professionals.

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Church of England data breach

The Church of England’s Data Federation problem with third-party Breaches: A Case Study in GDPR Failure and Technical Lessons

The Church of England suffered a significant data breach involving safeguarding information about survivors of church abuse. The breach occurred via a third-party law firm, with root causes traced to insufficient technical controls, the absence of a robust CRM system, and weak third-party validation processes. This incident has raised major concerns over data protection, privacy, and the organisation’s compliance with GDPR legislation. Here’s a summary of what they should have done instead (but clearly did not).

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Bridging Data Silos for innovation

Despite years of digital transformation, data silos remain a persistent barrier for many organizations. Sound familiar?
Examples include fragmented information across legacy systems and cloud platforms while introducing new data sources. Organizations are playing catchup, which continues to hinder access to the insights that drive genuine business value.

If you’re not connecting your data ecosystem efficiently, you’re missing out on the competitive edge that comes from true data fluency.

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