The 5 Important Steps You Will Need in Any Data Warehousing Project — Having been part of numerous complex data transformation projects, I can confirm the statistic that 85% of data projects fail. The reasons for these failures are: Changing data stacks Lack of preparedness Not having the right team Impatient stakeholders Overzealous management Lack of investment in culture change, etc. The projects…

Lessons I wish I knew about before embarking on data migration journeys — "Life is like a box of chocolates; you never know what you're gonna get" — if only Tom Hanks knew about the perils of Data Migration (DM). …

Improve the Quality of Your Data by Observing It Every Step of the Way — Poor Data Quality (DQ) is a nightmare for organisations, leading to many failed projects and the loss of millions in revenue. In the development of the Modern Data Stack, there has been a clear use case for improving DQ by removing the onus on the humans involved. Introducing Data Observability…

A Comprehensive Guide to Overcoming a Failing Data Project — A failing data project is as certain as death and taxes. I recently came across the 2mm rule by Tony Robbins; the gist is that small changes can significantly impact your trajectory for success. Throughout my career, I have seen many failing data projects. Most had the writing on the…

Proven Strategies for Tackling Data Quality Issues in Analytics Projects — Cleaning up your data is like cleaning up your diet; you know you should do it, but the doughnuts are too tempting! It requires discipline, processes and accountability from leadership to prioritise. But it is often the most overlooked aspect of any data project. If your organisation has been ignoring…

Enhance Your Data Governance Practices with These 4 Transformative Approaches — Without effective Governance, organisations will find themselves wandering through a Digital Wild West. The recent advances in the EU Artificial Intelligence Act have also noted Data Governance as a must-have for organisations dealing with High-Risk AI Systems to stay compliant. Despite the increasing scale of data, organisations have regressed instead…

5 Inspiring Learning Resources to Propel Your Skills and Expertise — I recently hosted a breakfast session with a team of people at work. We talked extensively about career journeys, brand value, mistakes made and lessons learned. A question was asked about what learning resources I recommend to keep abreast of changes in the industry but also general career and management…

Tips for Effortlessly Moving from On-Premises to the Cloud — AWS (Amazon Web Services) has been to Amazon, what compound interest has been to Finance. Cloud has been all the rage for the past ten years, and the model is of compounding returns; the larger organisations you host, the more money you make as the vendor. So it is in…

Stay Ahead of the Curve with a Comprehensive Breakdown of the Latest EU AI Regulation and its Impact on Businesses and Society — The cat is out of the bag with AI advances over the past few years. However, the regulations could be faster to catch up. Remember, GDPR came into force 20 years after the Data Protection Act 1998. Laying down harmonised rules on Artificial Intelligence, AKA Artificial Intelligence Act (AIA), has…