Still relying on Excel for critical business data? Discover the risks, benefits, and practical strategies to help your team transition from spreadsheets to enterprise-grade data warehousing—without losing productivity or control.
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.
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.
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).
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.
Discover how leadership is evolving as humans and AI converge. Learn the essential skills, strategies, and trends for future-ready leadership in the age of artificial intelligence—insights from Jennifer Stirrup.
Discover how intelligent augmentation (IA) and hybrid workforces combine human creativity with AI efficiency. Practical steps and real-world examples for a resilient, future-ready organisation. The Future of Work needs IA as well as AI.
Discover how metaverse analytics can transform virtual data into measurable business results. Learn practical strategies, KPIs, and real-world lessons to drive ROI and value from your metaverse initiatives.
From pilots to enterprise-wide transformation, discover how AI strategy consulting helps organisations scale innovation, achieve measurable business results, and build a sustainable competitive edge. Backed by data from ResearchGate, IDC, and McKinsey.
Struggling with messy spreadsheets? Discover 7 signs your business needs data automation and practical steps to move beyond Excel Hell.
Executive boards must make informed technology investment decisions, especially regarding AI. In this article, Jennifer Stirrup discusses emerging best practices based on industry research. Essential inquiries include strategic alignment, data quality, risk assessment, ethical considerations, long-term impacts, and governance structure. Proactive oversight ensures competitive advantage and stakeholder trust.
Organizations that prioritize data fluency, beyond basic data literacy, significantly enhance their outcomes in analytics and AI adoption. Data fluency fosters intuitive thinking, collaboration, and strategic innovation, enabling companies to leverage data effectively. A commitment to integrating data into everyday practices is crucial for maximizing digital transformation and realizing AI’s full potential.