# Navigating the Complexities of Modern Digital Infrastructure ## Understanding the Fragility Beneath the Surface Modern digital infrastructure looks impressive from a distance. It is layered, connected, automated, and dressed up as progress. Yet this graphic makes a blunt and uncomfortable point: much of it is built like a tower of blocks rather than a fortress. For CxOs leading business transformation, that is a warning worth taking seriously. The message is not that digita

One thing stays true in today’s fast-changing corporate world: data volumes will keep growing. And as AI continues to accelerate, it’s clear that companies need to put their data to work to stay competitive. Traditional data and analytics (D&A) operating models have served us reasonably well—but in an era of rapid transformation, many are starting to show their age. Like legacy software, they can struggle to meet the complex demands of modern businesses. That’s why the case f

Enterprise data management (EDM): The processes, policies, and technologies used to effectively manage an organisation’s data assets. Core goals Ensure data quality Improve data accessibility Reduce data management risk Data management lifecycle (typical stages) Collection Storage Processing Integration Analysis Dissemination Archiving Governance and key disciplines Data governance: Overall management of data availability, usability, integrity, and security. Data quality: The

Anchor Everything in Business Outcomes I’ve seen many data initiatives focus inwardly on data itself rather than on the results it can enable. That’s also where people get data strategy wrong, as they somehow think it’s about the movement of data, which it isn’t. If you want an integration strategy, then call it that! As I’ve always maintained, data is an enabler, whether in raw form or as information. A world-class data operating model begins with a clear vision of the desir

An Old (But Great) Story That Perfectly Illustrates the Difference Between Data Analytics and Data Insights During World War II, the Allies mapped bullet holes in planes that Nazi fire had hit. They planned to strengthen the planes by reinforcing the areas that had taken the most bullets (shown as red dots in the picture). Theoretically, this was a logical deduction. After all, these were the most affected areas. I would also add: this is exactly what artificial intelligence