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Artificial Intelligence

Data Integration

Plain English

Bringing together from different places.

Definition

is the of combining data from multiple sources into a unified view.

In practice

Used to connect such as CRMs, analytics tools, and databases.

In context

The hard part is never the connection. It is agreeing what a customer is when two have counted them differently for a decade.

The reality

is often complex and fragile, especially across .

Compared with

Data Integration vs Data Pipeline

is the goal: one coherent view across sources. A is the mechanism that moves and reshapes to get there. You can build many pipelines and still have no integration.

FAQ

Common questions

A few practical answers to the questions that usually come up around this term.

What is data integration?

It is combining from multiple sources.

Why is data integration important?

It creates a single source of truth.

What systems are integrated?

CRMs, databases, APIs, and analytics tools.

What is a common issue?

Complexity and inconsistency.

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Previous feedback

I had a fantastic experience working with Andy. One of his most impressive achievements during our time at NHS HEE was masterminding a deeply complex information architecture for a new platform that brought together a large number of legacy websites.

Will Parkhouse

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