Articles

How do you build cybersecurity into a data project? In Part 1, we cover five practical areas to consider, including security planning, data discovery, least privilege, test environments and protecting data as it moves.

AI adoption is moving really fast, but there’s a bigger question organisations need to answer first: can you trust the data sitting underneath it?
We received some brilliant questions during our webinar, more than we could answer in the time we had. So, we’ve put them all together here to make sure none of them go unanswered.

Artificial intelligence (AI) is rapidly becoming a strategic priority for universities, promising personalised student support, smarter decision-making and greater operational efficiency. But before universities can unlock the full potential of AI, they must first address a more fundamental question: are their data foundations ready?

Local government organisations have access to more data than ever before, yet turning that data into meaningful outcomes remains a significant challenge. This article explores how CIOs and CDOs can align strategy, governance, and delivery to unlock trusted data, improve services, and drive measurable impact.

Part 4 wraps up the series by focusing on process and architecture, showing how a flawed technical foundation can undermine even the best strategy, people, and testing, ultimately eroding trust in your migration outcomes.

In Part 3, we dive into validation and testing - unpacking three common mistakes retail businesses make when managing migration risk, and why chasing a “zero-defect” approach can derail timelines and budgets.

People make or break data migrations and not just your IT team. From stakeholder buy-in to team capacity, Part 2 digs into the human mistakes that quietly derail ERP projects, and how to dodge them!

In Part 1, we explore 3 critical mistakes retail leaders make early: rushed deadlines, lack of preparation, and unrealistic expectations around data quality that can derail your entire transformation.

Data migration strategy and data strategy are often confused, but they serve different purposes. In this article, we explore the differences, the overlap, and why both are essential for long-term data success in every organisation.

Data Migration is never “just moving data”. This guide explains why data migration projects fail and how to avoid them. From poor planning to people and process challenges, we break down the most common data migration risks and share practical ways to keep your project on track!

It’s a beginner’s guide! Seven things you need to know before planning the data migration project within your organisation.

When it comes to data migration, most teams put 100% energy into extraction, transformation, and loading (ETL) - but one of the most critical steps is often overlooked!

Data migration can feel overwhelming, but when done right, it transforms how universities operate!

In Part 1, we explored the risks and lessons that come with large-scale data migration in the higher education sector. Now in Part 2, we dive into how Durham University delivered a successful ERP migration by focusing on the people, the process, and careful planning, key elements any university should prioritise.