Beyond Data - Defining Business Information in Context

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 of numbers, a code, a transaction record. It exists in systems, spreadsheets and databases.
• Business Information is data given meaning and context. It becomes information when it is connected to business capabilities, value streams, and decisions.

Take the example of a date. In isolation, "26/03/2025" is just data.

• If it is associated with a Policy Capability, it could mean Policy Effective Date.
• Linked to a Claims Capability, it could mean Date of Loss.
• In a Customer Capability, it may represent the Date of Birth.

The same data point, interpreted differently, has dramatic different implications.

Why Context Matters

Context allows business users to interpret data correctly and consistently. It transforms raw inputs into usable business information that:

• Anchors capabilities (e.g., Customer, Policy, Risk, Claim).
• Informs decisions (e.g., underwriting, claims triage, fraud detection).
• Powers value streams (e.g., Quote-to-Bind, First Notice of Loss).

Without context, organisations face duplication, confusion, and conflicting interpretations. This is why business glossaries and information models are not “nice-to-haves” but strategic enablers.

The Baseline of Business Knowledge

Business information is more than a by-product of systems. It is the baseline from which business knowledge evolves.

• When people and processes use consistent business information to improve decision-making, information becomes knowledge.
• When organisations apply scenario analysis and foresight to this knowledge, it matures into wisdom - the ability to respond intelligently to challenges and opportunities.

This maturity journey is what separates insurers who struggle with reporting from those who thrive in AI-enabled, customer-first ecosystems.

What's Next?

Obviously this is quite a vast topic. And thanks to a number of you you reached out to me personally with your thoughts. I will try to incorporate them in my next article on the maturity journey of business information: how organisations evolve from information to knowledge to wisdom. And what leaders must do to avoid being stuck in an endless cycle of data chaos.

Before I end, here's a final thought. Next time when someone in your organisation says "we need better data", ask instead: "Do we actually need better business information?". The distinction could be the differenece between noise and insight.