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Data Foundations Series
Free Interactive Diagnostic

Are your customer data foundations ready for AI and personalisation?

AI and personalisation only work as well as the customer data beneath them. Both amplify whatever your data already does: unify it and they scale value, fragment it and they scale mistakes. This diagnostic measures how much scattered or inaccurate customer data is costing your business today, and whether a single view should come first.

The Diagnostic

How often does this happen to you?

For each statement, choose how often it is true today. The more it happens, the more a single, accurate view of the customer is worth to your business.

Why this comes before AI and personalisation

A personalised offer sent to a customer who does not exist, or sent twice because they exist three times, is worse than no offer at all. An AI agent acting on a duplicate record acts twice. AI and personalisation do not fix fragmented data, they multiply its effects. That is why the honest first question is not whether you can build a single view, but whether the lack of one is already holding your business back.

What your score means

Your impact level

Your score reflects how much fragmented or inaccurate customer data is affecting the business, and therefore how strong the case is to unify it before you invest further in AI and personalisation.

Answer all eight statements above to see your impact level.
From diagnosis to action

How to fix the foundation

A single, trusted view of the customer is built in the order that removes risk fastest. This is the groundwork that makes AI and personalisation pay off.

Step 1

Unify the core

Bring your key customer records into one accurate, deduplicated profile, and make freshness and ownership visible.

Step 2

Resolve identity

Match customers across every system into one profile automatically, so all teams work from the same person.

Step 3

Activate everywhere

Make the unified profile available in real time to the teams, journeys, and agents that act on it, not just to reports.

Step 4

Govern for trust

Centralise consent, privacy, and security so the profile is safe to use for personalisation and AI.

Next steps

Turn fragmented data into a single view you can build on

We help enterprises unify scattered customer data with Salesforce Data Cloud and API led connectivity, so your teams, your personalisation, and your agents all act on one trusted profile. Let us map your fastest route.

Disclaimer: This diagnostic is a practical self assessment based on NJC Labs experience delivering Salesforce Data Cloud and integration on the Salesforce stack. It is not an independently verified or industry standard scoring methodology. Use the result as a starting point for discussion and planning rather than a formal audit.

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