Step 1: Create your domains

• First things first, create your domain structure in the Knowledge section

• For each domain, generate a tag

• Don't forget to assign the domain owner!

Don't boil the ocean! Start with one domain that can be used as an example.

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What is a data domain?

A data domain is a broad grouping of data assets based on its function, usage, or subject matter, and each domain is typically associated with specific governance policies, ownership, and quality standards.

Typical examples of domains:

• Customer: including data assets and metrics related to customer lifecycle, customer health, customer attributes etc.

• Finance: that includes data assets related to financial transactions, budgets, revenue or expenses

• Employee: including job information, talent retention, hiring etc

• etc

You can have multiple teams contributing or using information from a single domain.

Typically, there are no more than 10 data domains as part of an organisation. If your organisation is not used to the concept of domain, you can start by simply using your department hierarchy instead.

It is a good idea to start just with 1, 2 levels in the domain hierarchy before expanding further.

How to structure your domains?

A basic structure in the domain structure can follow the domain list and the key areas for each domain. For example:

• Typically an organization will have activities split by lifecycle and you can split it based on its stage: prospect, customer etc.

  • For prospects we will have qualification stages and sales stages each with its own processes and KPIs

  • For existing customers we will have onboarding processes, but also data assets related to customer deals