Data & Information
Stop curating definitions. Start shipping data people can trust and use. The Challenge Your business doesn’t need another glossary. It needs data that leaders can bet decisions on this quarter—fast, reliable, owned, and auditable. If your “information model” can’t help a COO decide in 60 seconds or
Data & Information
In the last article, I explored the cost of chaos created by the absence of a common business glossary — the silent culprit behind duplication of processes, data, and management information (MI) in most insurance organisations. We concluded that while many firms rush to modernise systems or launch “data transformation” programmes,
AI & Automation
Most financial institutions proudly announce that they are investing heavily in Artificial Intelligence, data platforms, and automation. They talk about predictive analytics, cognitive underwriting, self-learning risk models, and AI-driven personalisation. Yet behind the scenes, something doesn’t quite add up. Algorithms are built, dashboards are launched, bots are deployed — but
Data & Information
In my earlier articles, I introduced the paradox that most insurers are data-rich but information-poor, explored what truly defines business information, and described how organisations can mature from information to knowledge to wisdom. Yet one foundational issue underpins nearly every failure in business information management — the absence of a common
Data & Information
In my first article, I argued that insurers are often data rich but information poor. Despite having vast volumes of data, most organisations lack the common business glossary, consistency, and context needed to make that data truly valuable. In my second article, I explored the distinction between data and business
Data & Information
In my last article, I argued that most insurers are data-rich but information-poor. Data floods the enterprise, yet leaders still struggle to derive insight, align decisions, or eliminate duplication. The reason is simple: data is not the same as business information. Data vs Business Information * Data is raw. A string
Data & Information
Most insurers proudly declare that they are “data-driven.” With vast amounts of policy, claims, customer, and risk data collected every second, the industry is awash with information sources. Yet scratch beneath the surface and a paradox emerges: insurers are data-rich, but information-poor. Why? Because data alone is not enough. In