Dynamics 365 Dataverse Integration is easier to understand once you stop thinking about Dynamics 365 and Dataverse as two completely separate systems that constantly need to synchronize customer data. For Dynamics 365 applications such as Sales and Customer Service, Dataverse provides the shared data foundation underneath the applications. Accounts, contacts, leads, opportunities, cases, activities, relationships, permissions, and business rules can all live within this structured environment. In this episode of M365 FM, Mirko Peters explains what Dataverse actually is, how Dynamics 365 uses it, and how the same business data can power Power Apps, Power Automate, Power BI, and other connected processes.
WHAT IS MICROSOFT DATAVERSE?
Microsoft Dataverse is Microsoft's cloud data platform for structured business information. Instead of keeping customer and operational data across disconnected spreadsheets, lists, emails, and applications, Dataverse provides a common place where approved business applications can work with structured information. Think of Dynamics 365 as an office building. Sales, Customer Service, and other applications are the rooms where employees work. Dataverse is the filing system, structure, and rules behind those rooms. The objective is to reduce unnecessary copies of the same business information and provide applications with a shared foundation.
ONE CUSTOMER INSTEAD OF MULTIPLE COPIES
Consider a company where Sales stores customer information in one system, Support maintains another customer list, Finance keeps another version, and additional information lives inside shared mailboxes and spreadsheets. When the customer's address or contact information changes, those copies quickly become inconsistent. With Dataverse, approved applications can work with the same customer information. A customer used by Dynamics 365 Sales can also provide context when that customer contacts Dynamics 365 Customer Service. Instead of asking which customer list is correct, teams can work around a shared reference point.
DATAVERSE TABLES EXPLAINED
Dataverse organizes business information into tables. An Account table can contain companies. Contacts can contain individual people. Leads represent potential customers, Cases can represent customer support requests, and Activities can represent calls, emails, appointments, and tasks. Microsoft provides standard tables for common business concepts, while organizations can create custom tables when they need to represent information specific to their business. A training company, for example, could create tables for courses and certificates, while a property company might create tables for buildings and inspections.
ROWS AND COLUMNS
Each table contains rows representing individual pieces of business information. One Contact row might represent a particular person. Columns then describe the information associated with that person, such as first name, last name, email address, phone number, job title, company, owner, and status. This structured approach gives information a predictable shape. Applications know what each value represents, reports can analyze it consistently, and automation can react when specific information changes.
STANDARD VS CUSTOM TABLES
Organizations should generally start with standard Dataverse tables when those structures already represent the business concept they need. Creating several custom tables that all represent slightly different versions of "customer" can recreate the same data fragmentation Dataverse is intended to reduce. Custom tables become valuable when the organization genuinely has business information that doesn't fit existing standard structures. The objective is a data model people can understand and reuse across applications.
RELATIONSHIPS CONNECT BUSINESS INFORMATION
Tables become significantly more useful when they are connected through relationships. A Contact can belong to an Account. A Case can connect to the customer who created the support request. An Opportunity can connect to calls, emails, appointments, and tasks associated with the sales process. Instead of repeatedly copying company information into every related record, relationships maintain connections between the information. If a company's address changes, the Account can be updated while related Contacts continue pointing toward the same company.
TABLES, COLUMNS AND ROWS VS OLDER TERMINOLOGY
Older Dynamics 365 and Dataverse documentation may use different terminology. What Microsoft now calls a table was previously commonly called an entity. A column was called a field, and a row was commonly called a record. Understanding both sets of terminology can make older documentation and training material easier to follow. ㅤ
SECURITY STARTS WITH IDENTITY
Shared information doesn't mean everybody should have access to everything. Microsoft Entra ID provides the identity used to determine who is working with Dataverse. Dataverse can then apply additional security controls governing what that person is permitted to do with business information. Think of Entra ID as the reception desk verifying who entered the building, while Dataverse security determines which rooms, filing cabinets, and information that person can access after entering. ㅤ
SECURITY ROLES
Security roles provide permissions associated with different jobs and responsibilities. Sales representatives might receive permissions for Accounts, Contacts, Leads, and Opportunities. Customer service agents might work with Cases without receiving the same permissions over sales opportunities. Permissions can govern operations such as reading, creating, updating, and deleting information. Because these controls exist around the underlying data, security doesn't need to depend exclusively on hiding buttons inside individual applications. ㅤ
ROW AND COLUMN LEVEL SECURITY
Access can become more granular than simply allowing or denying access to an entire table. Row-level security can determine which individual rows a person can access. A salesperson might only work with customers they own, while a sales manager can access customers belonging to the wider team. Column-level security can protect particularly sensitive information within an otherwise accessible row. This provides organizations with more control over who can access particular business information. ㅤ
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