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  1. Support Home
  2. Getting Started With Analytics 2.0
  3. FAQ/Troubleshooting

Getting Started With Analytics 2.0

  • Analytics Cloud Connector
  • Begin Setup
    • Partner Considerations
    • Verify Permissions
    • Generate Data Access Credentials
    • Upload Reports to Power BI (If Applicable)
  • Choose A Data Connection Method
    • Connect to Power BI Desktop
    • Connect to SQL Server Using Python (SSIS)
    • Connect to SQL Server Using Python Library
    • Connect to SQL Server Using Python Spark
    • Connect to ADLS Using Azure Functions
    • Connect to ADLS Using Python
    • Connect to ADLS Using Spark
    • Connect to Fabric Lakehouse Using Data Factory
    • Connect to Fabric Lakehouse Using Fabric Notebooks
    • Connect to SQL Server Using Azure Functions
    • Connect to SQL Server Using Data Factory
    • Connect to SQL Server Using Fabric Notebook
    • Connect to Databricks
    • Connect to Snowflake Using Python
    • Connect to Amazon S3 Using Python
    • Build Your Own Connection
    • Connect to BigQuery
    • Connect to Microsoft Excel Using Exponam
  • User Activity History (Beta)
    • Overview
    • Download the Analytics Cloud Connector CLI
    • Upgrade the Analytics Cloud Connector CLI
    • Backfill User Activity History
    • Migrate Config Key
    • FAQ/Troubleshooting
  • Analytics Cloud Connector
  • Begin Setup
    • Partner Considerations
    • Verify Permissions
    • Generate Data Access Credentials
    • Upload Reports to Power BI (If Applicable)
  • Choose A Data Connection Method
    • Connect to Power BI Desktop
    • Connect to SQL Server Using Python (SSIS)
    • Connect to SQL Server Using Python Library
    • Connect to SQL Server Using Python Spark
    • Connect to ADLS Using Azure Functions
    • Connect to ADLS Using Python
    • Connect to ADLS Using Spark
    • Connect to Fabric Lakehouse Using Data Factory
    • Connect to Fabric Lakehouse Using Fabric Notebooks
    • Connect to SQL Server Using Azure Functions
    • Connect to SQL Server Using Data Factory
    • Connect to SQL Server Using Fabric Notebook
    • Connect to Databricks
    • Connect to Snowflake Using Python
    • Connect to Amazon S3 Using Python
    • Build Your Own Connection
    • Connect to BigQuery
    • Connect to Microsoft Excel Using Exponam
  • User Activity History (Beta)
    • Overview
    • Download the Analytics Cloud Connector CLI
    • Upgrade the Analytics Cloud Connector CLI
    • Backfill User Activity History
    • Migrate Config Key
    • FAQ/Troubleshooting

FAQ/Troubleshooting

Beta

The Historical User Activity feature is currently in beta for the Analytics tool.


Frequently Asked Questions

  • What do I need to provide if I open a Procore Support Ticket? (Beta)
  • What happens on scheduled runs after the User Activity history rollout? (Beta)
  • Which Data Connectors are supported by the CLI for User Activity History? (Beta)
  • Why doesn't the historical user activity load automatically when I upgrade? (Beta)

Troubleshooting

  • Common Issues and Solutions (Beta)
Migrate Config Key

Procore is committed to advancing the construction industry by improving the lives of people working in construction, driving technology innovation, and building a global community of groundbreakers. Our connected global construction platform unites all stakeholders on a project with unlimited access to support and a business model designed for the construction industry.

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