A data hub is a separate model that holds an organization’s data. We recommend you have a data hub if:
You have business hierarchies that already exist within the organization
You have data and structures that are or will be shared across models
You need different levels of granularity within your models
The data hub will maintain consistency of your hierarchies and structures throughout all of the Anaplan models.
You can avoid sparsity in the data by only using the sections of the data applicable to each specific Anaplan model.
The data hub model can be placed in a different workspace, allowing for role segregation. This allows you to assign administrator rights to users to manage the data hub without allowing those users access to the production models.
Importing data into a data hub and validating the data allows it to be corrected before it is transferred to the users’ models; this process ensures better data quality for your end users.
Data can be shared with all your models, making your next use case easier to implement and ensuring data integrity across models.
One type of data hub can be integrated with an organization’s data warehouse and hold ERP, CRM, HR and other data. Some organizations may require another type of data hub for transactional data, such as bookings, pipeline, or revenue.
Whether you're planning on using a single data hub or multiple hubs, it is a good idea to plan your approach to importing from the organization’s systems into the data hub(s) and synchronizing the imports from the data hub to the appropriate down-stream model. The graphic below shows best practices:
During your first deployment, discuss your options with your implementation Partner or Anaplan Customer Success team members.