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dataconnect-solutions

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Microsoft Graph Data Connect enables scaled access to Microsoft 365 data with fine grained consent model, integrated with compliance and governance, to enable analytics and big data applications on the largest productivity platform.

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# Microsoft Graph Data Connect - Solutions

## [Entity Sentiment Analysis](solutions/esa/README.md)

The purpose of ESA is to track what subjects people are discussing in internal communications and how they're discussing them. With this tool, you'll be able to detect potential security conflicts, monitor reception to particular events, and gather company-wide sentiment surrounding important concepts. This solution template enables customers to leverage ESA metrics from M365 data and analyze the entities and sentiments therein.

## [Organizational Network Analysis](solutions/ona/README.md)

The purpose of ONA is to harness information flows and team connectivity to unlock productivity, innovation, employee engagement and organizational change. This solution template enables customers to leverage ONA metrics from M365 data and analyze the networks within.

## [Information Oversharing](solutions/information-oversharing/readme.md)

Information oversharing is a security and compliance use case powered by our newly available SharePoint datasets. This allows customers to better understand how secure their SharePoint is, maintain information boundaries, and establish new rules based on how sensitive data is managed and classified.

## [Capacity Scenario](solutions/capacity-scenario/readme.md)

Capacity scenario is a storage use case powered by our newly available SharePoint datasets. This helps customers to comprehend their storage usage by giving them useful information and analysis from the SharePoint Sites and SharePoint Files datasets.

## [Project Staffing application](solutions/projectstaffing/README.MD)

The Project Staffing application is a Microsoft Graph Data Connect based solution which allows engagement managers to build the best suited teams for projects, by finding employees that are available and have the best set of skills for the project, as well as the most relevant set of potential skills. The application ingests data from Microsoft Graph Data Connect and complementary data sources using Azure Data Factory (ADF) pipelines and uses this to build a model based on which the most relevant employees are recommended.

## [Watercooler application](solutions/watercooler/README.MD)

The Watercooler application is a Microsoft Graph Data Connect based solution which allows organizations to schedule
online meeting groups with the intention of helping employees connect better. The application ingests data from
Microsoft Graph Data Connect using Azure Data Factory (ADF)
pipelines.

## [Conversation Lineage Dynamics 365](solutions/conversation-lineage-D365/README.MD)

This tutorial provides an example of how to supplement the Conversation Lineage solution with Dynamics 365 data. In this specific example, you will learn how to:
* Extract data from D365 using Dataverse/Azure Synapse Link
* Connect the D365 data to Conversation Lineage via Synapse Pipelines and SQL views
* Query the joined dataset

## [MGDC with Azure Cosmos DB](solutions/mgdc-cosmos/README.md)

This tutorial will provide an example of how to load Graph Data Connect (GDC) to gain insights into a Cosmos DB Gremlin API Graph database. By doing this, you will learn the key steps and Azure technologies required to build your own GDC based Graph database.

## [Analyze M365 emails](solutions/moveM365datatoAzure/README.md)

In this sample you will use Microsoft Graph Data Connect to analyze emails from an organization in Microsoft 365 to find subject matter experts on specific topics.

## [Using M365 data with Azure analytics to build intelligent applications](solutions/whoknowswho/README.md)

In this sample you will use Microsoft Graph Data Connect brings Microsoft 365 data and Azure resources to independent software vendors (ISVs). This system enables ISVs to build intelligent applications with Microsoft's most valuable data and best development tools. Microsoft 365 customers will gain innovative or industry-specific applications that enhance their productivity while keeping full control over their data.

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# Give us your feedback

Your feedback is important to us.

- To let us know about any questions or issues you find in the documentation, [submit an issue](https://github.com/microsoftgraph/dataconnect-solutions/issues) in this repository.
- We also encourage you to fork, make the fix, and do a pull request of your proposed changes. See [CONTRIBUTING.md](CONTRIBUTING.md) for contributing guidelines.
- To let us know about your programming experience, what you would like to see in future versions, code samples, and so on, enter your suggestions and ideas at [Microsoft 365 Developer Platform Tech Community](https://techcommunity.microsoft.com/t5/microsoft-365-developer-platform/idb-p/Microsoft365DeveloperPlatform/label-name/Microsoft%20Graph).

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# Code of conduct

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

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