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Tenant Migration

How to Transfer a Project for the Web to Another Environment

Steve KSteve K Sep 27, 2026 870 views

Question details

The user needs to move a large Project for the web template to a different environment and license, but the standard Excel export and import process fails to transfer all project fields completely.

Product
Project for the web
Device & OS
not provided
Scenario
Migrating complex project data across different Microsoft tenant environments.
Observed behavior
Exporting and importing the project via Excel does not completely transfer the project data, leaving behind crucial database fields.
Before you start

Verify that you have access to a premium Power Automate license, as the standard features are insufficient for a complete Microsoft Dataverse data migration.

Solution 1Recommended

Migrate Using Power Automate and Microsoft Dataverse

Use the premium Dataverse connector to ensure all project fields are accurately exported and imported across environments.

Since Project for the web does not offer a built-in tenant-to-tenant migration tool, standard Excel exports will miss critical backend data. To achieve a comprehensive transfer, you must directly interact with the database storing the project details.

This approach utilizes Power Automate and the Microsoft Dataverse premium connector to map and transfer all necessary fields to the destination environment.

1
Set Up Source Connection

Open Power Automate and create a new flow. Add the premium Microsoft Dataverse connector and authenticate with your source environment credentials.

2
Configure Data Extraction

Set up the 'List rows' action to retrieve your project data from the relevant Project for the web tables within the source Dataverse.

3
Set Up Destination Connection

Add another Dataverse action to connect to your destination environment, ensuring you have the appropriate licenses and permissions active.

4
Map and Recreate Projects

Use the 'Add a new row' action for the destination environment. Carefully map the extracted fields to recreate the project, tasks, and dependencies in the new tenant.

Migrate Using Power Automate and Microsoft Dataverse
Complex Process Warning: Dataverse migration is highly complex and requires strong familiarity with Power Automate. If you encounter missing fields, double-check your table mappings.
Free Microsoft Office alternative

Simplify Project Tracking with WPS Office

Avoid the complexities of tenant migrations, premium connectors, and database mapping. WPS Office provides a lightweight, free alternative for managing project tasks, timelines, and resources using familiar spreadsheet formats that are easily shared anywhere.

  1. 1. Download WPS Office: Visit the official WPS website and download the free WPS Office suite for your operating system.
  2. 2. Open a Project Template: Launch WPS Spreadsheets, go to the Templates library, and search for 'Project Management' to find pre-built trackers.
  3. 3. Manage and Share: Input your project data and easily share the standalone .xlsx file with anyone, regardless of their tenant or environment.
100% free and lightweight Microsoft Office alternativeSeamless compatibility with Microsoft Excel (.xlsx) formatsRich built-in templates for project management and Gantt chartsEasy file sharing without being locked into a single tenant environment
QA img-9

Frequently Asked Questions

Why doesn't the Excel export feature include all Project for the web fields?

The standard Excel export feature in Project for the web is designed for basic reporting rather than complete data migration. Certain relational data and background fields are only stored in the underlying Microsoft Dataverse database and are omitted from standard spreadsheet exports.

Is there a native built-in feature to transfer projects between tenants?

No, Microsoft Project for the web currently lacks a native tenant-to-tenant migration feature. Moving projects requires manual recreation or custom Power Automate flows.

Do I need a premium license to migrate my project data completely?

Yes. Accessing the complete dataset requires querying Microsoft Dataverse via Power Automate. The Dataverse connector is a premium feature, meaning you will need the appropriate Power Automate premium licenses in both the source and destination environments.