data model schema projects tasks and subtasks

Simplified integration and disambiguation of data that's collected from processes, digital interactions, product telemetry, people interactions, and so on.Ī unified shape, where data integrations can combine existing enterprise data with other sources and use that data holistically to develop apps or derive insights. Structural and semantic consistency across applications and deployments.

Historically, the work to build an app has been tightly tied with data integration, but with Common Data Model and the platforms that support it, the two can happen independently:Īpp makers and/or developers: Whether these users leverage code-based platforms or a low-code/no-code platform such as Power Apps or Power BI, they need to store and manage data for their apps.ĭata integrators: These users are responsible for bringing data from a variety of systems to make it accessible for apps to use.Ĭommon Data Model simplifies data management and app development by unifying data into a known form and applying structural and semantic consistency across multiple apps and deployments. But when it comes to development, your apps and reports can pull common data elements quickly, cleanly, and with confidence.Īnd what if you need to create a fourth app? Your data will be ready in Common Data Model schema, so your development efforts can concentrate on business logic rather than data quagmires and sticky transformations.

Of course, each app might have its own additional data and schemas, depending on its functionality.

If you'd used Common Data Model, you would have built your data in a standardized format (using the Common Data Model standard entities, attributes, and relationships) and then each app could use the same data. It's likely that each app was created independently, with different structures to represent an entity, such as Account, in nearly (but not quite) the same way. Imagine that you have three business apps-one each for materials, manufacturing, and sales. More information: Common Data Model repository on GitHub.ĭownload the Common Data Model poster Why use Common Data Model? The graphic below shows some elements of the standard entities available within Common Data Model. The schemas represent commonly used concepts and activities, such as Account and Campaign, to simplify the creation, aggregation, and analysis of data. This collection of predefined schemas includes entities, attributes, semantic metadata, and relationships. In addition to the metadata system, Common Data Model includes a set of standardized, extensible data schemas that Microsoft and its partners have published. The Common Data Model metadata system makes it possible for data and its meaning to be shared across applications and business processes such as Microsoft PowerApps, Power BI, Dynamics 365, and Azure.

Without being able to share and understand the same data easily, each application or data integration project requires a custom implementation.Ĭommon Data Model simplifies this process by providing a shared data language for business and analytical applications to use. If you've ever had to bring data from multiple systems and applications together, you know what an expensive and time-consuming task that can be.

Data model schema projects tasks and subtasks