Power BI REST API and Automation: Enterprise Guide for 2026

Programmatic access to Power BI through the REST API is the dividing line between organizations that manage analytics manually and those that operate analytics as a governed enterprise platform. When you have 50 workspaces, 400 datasets, 2,000 reports, and 15,000 users, clicking through the Power BI portal to check refresh statuses, audit permissions, and deploy content is not a strategy—it is a liability. The Power BI REST API exposes every administrative, developmental, and operational capability of the Power BI service as HTTP endpoints that can be called from PowerShell, Python, C#, Power Automate, Azure Logic Apps, Azure Functions, or any language that can issue HTTP requests. Our <a href="/services/enterprise-deployment">enterprise deployment services</a> build API-driven governance automation into every Power BI implementation.

<h2>Power BI REST API Architecture Overview</h2>

The Power BI REST API is hosted at <code>https://api.powerbi.com/v1.0/myorg/</code> for user-context operations and <code>https://api.powerbi.com/v1.0/myorg/admin/</code> for tenant-wide admin operations. Every call requires a valid OAuth 2.0 bearer token issued by Microsoft Entra ID (formerly Azure AD) with the appropriate Power BI scopes. The API is organized into logical resource groups that map directly to the Power BI object model:

<table> <thead><tr><th>API Group</th><th>Base Path</th><th>Key Operations</th><th>Auth Model</th></tr></thead> <tbody> <tr><td>Datasets</td><td>/datasets</td><td>Refresh, parameters, data sources, bind to gateway</td><td>Service principal or user</td></tr> <tr><td>Reports</td><td>/reports</td><td>Clone, export, rebind, get pages, embed URL</td><td>Service principal or user</td></tr> <tr><td>Dashboards</td><td>/dashboards</td><td>List tiles, add tiles, embed URL</td><td>Service principal or user</td></tr> <tr><td>Groups (Workspaces)</td><td>/groups</td><td>Create, delete, add users, list contents</td><td>Service principal or user</td></tr> <tr><td>Admin</td><td>/admin/</td><td>Tenant-wide workspace/dataset/user inventory, activity events</td><td>Service principal (admin-scoped) or delegated admin</td></tr> <tr><td>Scanner</td><td>/admin/workspaces/</td><td>GetModifiedWorkspaces, GetScanResult for metadata extraction</td><td>Service principal with admin scope</td></tr> <tr><td>Imports</td><td>/imports</td><td>Upload .pbix, .rdl, dataflow.json</td><td>Service principal or user</td></tr> <tr><td>Pipelines</td><td>/pipelines</td><td>Deploy content between dev/test/prod stages</td><td>Service principal or user</td></tr> <tr><td>Embed Tokens</td><td>/GenerateToken</td><td>Create embed tokens for App Owns Data scenarios</td><td>Service principal</td></tr> <tr><td>Gateways</td><td>/gateways</td><td>List gateways, data sources, status monitoring</td><td>Gateway admin</td></tr> </tbody> </table>

Understanding which API group handles which operation—and which authentication model each requires—is the first step toward building reliable automation. Our <a href="/services/power-bi-architecture">Power BI architecture practice</a> designs the API integration topology before writing any code.

<h2>Authentication: Service Principals vs. User Tokens</h2>

Every REST API call requires an OAuth 2.0 access token. There are two authentication patterns, and choosing the wrong one is the most common source of automation failures.

<h3>Service Principal Authentication (Recommended for Automation)</h3>

A service principal is a non-interactive identity registered in Microsoft Entra ID. It authenticates using a client ID and either a client secret or a certificate—no user interaction required. This is the correct choice for all scheduled and automated processes.

<strong>Setup steps:</strong> <ol> <li>Register an application in Microsoft Entra ID. Record the Application (client) ID and Directory (tenant) ID.</li> <li>Create a client secret (rotate every 90 days) or upload a certificate (more secure, rotate annually).</li> <li>In the Power BI Admin Portal, navigate to Tenant Settings &gt; Developer Settings &gt; "Allow service principals to use Power BI APIs" and add the security group containing your service principal.</li> <li>For admin API access, also enable "Allow service principals to use read-only Power BI admin APIs" under Admin API settings.</li> <li>Add the service principal as a Member or Admin to every workspace it needs to access.</li> </ol>

<strong>Token acquisition with MSAL (Python):</strong>

<pre><code>from msal import ConfidentialClientApplication

app = ConfidentialClientApplication( client_id="YOUR_APP_ID", client_credential="YOUR_CLIENT_SECRET", authority="https://login.microsoftonline.com/YOUR_TENANT_ID" )

result = app.acquire_token_for_client( scopes=["https://analysis.windows.net/powerbi/api/.default"] ) access_token = result["access_token"]</code></pre>

<h3>User Token Authentication (Interactive Scenarios Only)</h3>

User tokens are acquired via OAuth 2.0 authorization code flow or device code flow. The API call executes with the permissions of the signed-in user. Use this only for interactive tools where a human initiates the action—never for unattended automation, because tokens expire hourly and refresh tokens eventually expire after 90 days of inactivity.

<h3>Token Management Best Practices</h3>

<ul> <li>Store client secrets and certificates in Azure Key Vault—never in source code, environment variables, or configuration files committed to Git.</li> <li>Use MSAL libraries (available for Python, .NET, Java, JavaScript, PowerShell) which handle token caching, refresh, and retry automatically.</li> <li>Rotate client secrets every 90 days using Azure Key Vault auto-rotation policies.</li> <li>Prefer certificate-based authentication over client secrets for production workloads—certificates cannot be accidentally logged or exposed in stack traces.</li> </ul>

<h2>Common API Operations</h2>

<h3>Datasets: Triggering and Monitoring Refreshes</h3>

The most frequently used API operation is triggering dataset refresh. The standard refresh endpoint (<code>POST /groups/{groupId}/datasets/{datasetId}/refreshes</code>) initiates a full refresh. For Premium and Fabric capacities with XMLA endpoints enabled, the enhanced refresh endpoint accepts a JSON body specifying individual tables and partitions to refresh—critical for large models where a full refresh takes hours but a single partition takes minutes.

<strong>Trigger a refresh:</strong> <pre><code>POST https://api.powerbi.com/v1.0/myorg/groups/{workspaceId}/datasets/{datasetId}/refreshes Authorization: Bearer {access_token} Content-Type: application/json

{ "notifyOption": "MailOnFailure" }</code></pre>

<strong>Check refresh history:</strong> <pre><code>GET https://api.powerbi.com/v1.0/myorg/groups/{workspaceId}/datasets/{datasetId}/refreshes?$top=5 Authorization: Bearer {access_token}</code></pre>

The response includes status (Completed, Failed, Unknown, Disabled), start and end times, and for failures, the error message and error code—essential for automated alerting.

<h3>Reports: Cloning, Exporting, and Rebinding</h3>

Report APIs enable content lifecycle automation. Clone a report to a different workspace for testing (<code>POST /reports/{reportId}/Clone</code>), export a report to PDF or PPTX for distribution (<code>POST /reports/{reportId}/ExportTo</code>), or rebind a report to a different dataset after promoting from dev to production (<code>POST /reports/{reportId}/Rebind</code>).

<h3>Workspaces: Provisioning and Governance</h3>

Automate workspace creation with consistent naming conventions, capacity assignments, and security group membership. A single API call to <code>POST /groups</code> with a follow-up call to add users ensures every workspace meets governance standards from creation.

<h2>Automating Refresh with Power Automate and Logic Apps</h2>

For organizations that prefer low-code automation, Power Automate and Azure Logic Apps both provide Power BI connectors that wrap the REST API in a visual workflow designer.

<h3>Power Automate Flow for Event-Driven Refresh</h3>

A common pattern is triggering a dataset refresh after upstream data loading completes:

<ol> <li><strong>Trigger:</strong> "When a file is created in SharePoint" or "When a new row is added in SQL" or an HTTP webhook from your ETL tool.</li> <li><strong>Action:</strong> "Refresh a dataset" Power BI connector—select workspace and dataset.</li> <li><strong>Delay:</strong> Wait 5-10 minutes for the refresh to complete (or poll the refresh status API in a loop).</li> <li><strong>Condition:</strong> Check refresh status. If Failed, send an email or Teams notification to the data team with the error message.</li> <li><strong>Action (success path):</strong> Send a notification to stakeholders that the report is updated.</li> </ol>

<h3>Azure Logic Apps for Enterprise Integration</h3>

Logic Apps provide the same Power BI connector with additional enterprise capabilities: managed connectors for SAP, Oracle, and IBM MQ; built-in retry policies with exponential backoff; Azure Monitor integration for workflow diagnostics; and VNET integration for on-premises connectivity. Use Logic Apps when the automation needs to cross network boundaries or integrate with non-Microsoft enterprise systems.

<h3>Combining with Azure Data Factory</h3>

For data pipeline orchestration, Azure Data Factory (ADF) can call the Power BI refresh API via a Web Activity at the end of a pipeline. This guarantees the dataset refresh occurs only after all upstream data transformations complete successfully. The ADF pipeline handles retry logic, dependency chains, and failure notifications natively.

<h2>PowerShell: MicrosoftPowerBIMgmt Module</h2>

The <code>MicrosoftPowerBIMgmt</code> PowerShell module wraps the REST API into cmdlets that are familiar to Windows administrators. Install it from the PowerShell Gallery:

<pre><code>Install-Module -Name MicrosoftPowerBIMgmt -Scope CurrentUser -Force</code></pre>

<h3>Core Cmdlets</h3>

<table> <thead><tr><th>Cmdlet</th><th>API Equivalent</th><th>Use Case</th></tr></thead> <tbody> <tr><td>Connect-PowerBIServiceAccount</td><td>OAuth token acquisition</td><td>Authenticate with service principal or user credentials</td></tr> <tr><td>Get-PowerBIWorkspace</td><td>GET /groups</td><td>List workspaces, filter by name or scope</td></tr> <tr><td>Get-PowerBIDataset</td><td>GET /datasets</td><td>List datasets in a workspace</td></tr> <tr><td>Invoke-PowerBIRestMethod</td><td>Any endpoint</td><td>Call any API endpoint not covered by a dedicated cmdlet</td></tr> <tr><td>Export-PowerBIReport</td><td>POST /reports/{id}/Export</td><td>Download .pbix file for backup or migration</td></tr> <tr><td>New-PowerBIWorkspace</td><td>POST /groups</td><td>Create workspaces programmatically</td></tr> <tr><td>Add-PowerBIWorkspaceUser</td><td>POST /groups/{id}/users</td><td>Grant workspace access to users or service principals</td></tr> </tbody> </table>

<h3>Service Principal Login in PowerShell</h3>

<pre><code>$clientId = "YOUR_APP_ID" $tenantId = "YOUR_TENANT_ID" $clientSecret = Get-AzKeyVaultSecret -VaultName "my-vault" -Name "pbi-sp-secret" -AsPlainText

$credential = New-Object System.Management.Automation.PSCredential( $clientId, (ConvertTo-SecureString $clientSecret -AsPlainText -Force) )

Connect-PowerBIServiceAccount -ServicePrincipal -Credential $credential -TenantId $tenantId</code></pre>

<h3>Bulk Operations Example: Export All Workspaces and Datasets</h3>

<pre><code>$workspaces = Get-PowerBIWorkspace -Scope Organization -All foreach ($ws in $workspaces) { $datasets = Get-PowerBIDataset -WorkspaceId $ws.Id foreach ($ds in $datasets) { [PSCustomObject]@{ Workspace = $ws.Name Dataset = $ds.Name RefreshSchedule = $ds.IsRefreshable ConfiguredBy = $ds.ConfiguredBy } } } | Export-Csv -Path "PowerBI_Inventory.csv" -NoTypeInformation</code></pre>

<h2>Python Integration with Power BI REST API</h2>

Python is the preferred language for data engineering teams integrating Power BI into broader data pipelines. The combination of MSAL for authentication and the <code>requests</code> library for HTTP calls provides complete API coverage.

<h3>Complete Python Example: Refresh and Monitor</h3>

<pre><code>import time import requests from msal import ConfidentialClientApplication

# Authenticate app = ConfidentialClientApplication( client_id="YOUR_APP_ID", client_credential="YOUR_CLIENT_SECRET", authority="https://login.microsoftonline.com/YOUR_TENANT_ID" ) token = app.acquire_token_for_client( scopes=["https://analysis.windows.net/powerbi/api/.default"] ) headers = {"Authorization": f"Bearer {token['access_token']}"}

WORKSPACE_ID = "your-workspace-guid" DATASET_ID = "your-dataset-guid" BASE_URL = "https://api.powerbi.com/v1.0/myorg"

# Trigger refresh response = requests.post( f"{BASE_URL}/groups/{WORKSPACE_ID}/datasets/{DATASET_ID}/refreshes", headers=headers, json={"notifyOption": "NoNotification"} ) response.raise_for_status()

# Poll for completion with exponential backoff max_retries = 20 wait_seconds = 15 for attempt in range(max_retries): time.sleep(wait_seconds) history = requests.get( f"{BASE_URL}/groups/{WORKSPACE_ID}/datasets/{DATASET_ID}/refreshes?$top=1", headers=headers ).json()

status = history["value"][0]["status"] if status == "Completed": print("Refresh completed successfully.") break elif status == "Failed": error = history["value"][0].get("serviceExceptionJson", "Unknown error") raise RuntimeError(f"Refresh failed: {error}") # Exponential backoff: 15s, 30s, 60s... wait_seconds = min(wait_seconds * 2, 300) else: raise TimeoutError("Refresh did not complete within expected time.")</code></pre>

This pattern—trigger, poll, backoff, fail loudly—is the foundation of every reliable Power BI automation. Never fire-and-forget a refresh; always confirm completion.

<h2>Embedding Reports Programmatically</h2>

The REST API is the engine behind every Power BI embedded analytics deployment. There are two fundamental embedding architectures, and the API calls differ significantly between them.

<h3>App Owns Data (Service Principal Embedding)</h3>

Your backend acquires an embed token using the service principal, then passes it to the JavaScript SDK in the browser. End users never authenticate with Microsoft—they see reports through your application's identity.

<strong>Backend generates embed token:</strong> <pre><code>POST https://api.powerbi.com/v1.0/myorg/GenerateToken Authorization: Bearer {service_principal_token} Content-Type: application/json

{ "datasets": [{"id": "dataset-guid"}], "reports": [{"id": "report-guid", "allowEdit": false}], "identities": [{ "username": "tenant-123", "roles": ["ViewerRole"], "datasets": ["dataset-guid"] }] }</code></pre>

The <code>identities</code> array enforces row-level security—each tenant sees only their own data. The embed token is short-lived (default 1 hour, configurable up to 24 hours for Premium).

<h3>User Owns Data (Azure AD Embedding)</h3>

The user authenticates directly with Microsoft Entra ID. Your application acquires a token on behalf of the user using the OAuth 2.0 on-behalf-of flow. The report renders with the user's own Power BI permissions—no embed token generation required, but every viewer needs a Pro or PPU license.

For a deep dive into embedding architectures, SKU selection, and JavaScript SDK integration, see our <a href="/blog/power-bi-embedded-analytics-guide-isv-enterprise-2026">comprehensive Power BI Embedded analytics guide</a>.

<h2>Admin API for Tenant-Wide Monitoring</h2>

The Admin API endpoints provide a view of the entire Power BI tenant that is impossible to achieve through the portal. These require either a Power BI Service Administrator role (for delegated access) or a service principal with admin API permissions enabled.

<h3>Key Admin Endpoints</h3>

<ul> <li><strong>GetGroupsAsAdmin:</strong> Lists every workspace in the tenant with details including state, capacity assignment, type, and users. Essential for workspace sprawl management.</li> <li><strong>GetDatasetsAsAdmin:</strong> Returns every dataset across all workspaces—name, configured by, refresh schedule, endorsement status, sensitivity label.</li> <li><strong>GetActivityEvents:</strong> Extracts the Power BI audit log for a specified date range. Activities include ViewReport, ExportData, CreateDashboard, DeleteWorkspace, ShareReport, and hundreds more. This is the data source for compliance auditing and usage analytics.</li> <li><strong>GetCapacityUsageSummary:</strong> Returns capacity consumption metrics for right-sizing analysis.</li> </ul>

<h3>Building a Governance Dashboard</h3>

The most impactful automation is a weekly governance scan that calls GetGroupsAsAdmin, GetDatasetsAsAdmin, and GetActivityEvents, then loads the results into a dedicated governance dataset. A Power BI report on top of this dataset answers questions like: Which workspaces have no assigned admin? Which datasets have not been refreshed in 30 days? Which reports are viewed by zero users? Which users are downloading data to Excel most frequently?

<h2>Scanner API for Metadata Extraction</h2>

The Scanner API (also called the Metadata Scanning API) is the most powerful—and most complex—API for large-scale tenant analysis. It extracts detailed metadata about every artifact in the tenant: dataset tables, columns, measures, M queries, DAX expressions, data sources, sensitivity labels, and endorsement status.

<h3>Scanner Workflow</h3>

<ol> <li><strong>GetModifiedWorkspaces:</strong> Call with a timestamp to get workspace IDs modified since that time. On first run, omit the timestamp to get all workspaces.</li> <li><strong>PostWorkspaceInfo:</strong> Submit a batch of up to 100 workspace IDs. This initiates an asynchronous scan.</li> <li><strong>GetScanStatus:</strong> Poll until the scan status is "Succeeded."</li> <li><strong>GetScanResult:</strong> Retrieve the full metadata payload—workspace details, datasets with tables/columns/measures/expressions, reports with pages, dashboards with tiles, dataflows with entities.</li> </ol>

This metadata powers data lineage mapping, impact analysis (which reports break if a source table changes), sensitivity label coverage reporting, and automated data catalog population for tools like Microsoft Purview.

<h2>Automated Report Generation and Distribution</h2>

The ExportTo API enables programmatic report rendering to PDF, PPTX, PNG, or CSV. Combined with a scheduler and email delivery, this creates an automated report distribution system—sometimes called "bursting"—where each recipient receives a personalized PDF filtered to their data.

<strong>Export workflow:</strong> <ol> <li>Call <code>POST /reports/{reportId}/ExportTo</code> with the target format and optional page/bookmark/RLS identity filters.</li> <li>Poll the export status until it completes (exports can take 1-5 minutes for large reports).</li> <li>Download the exported file from the returned URL.</li> <li>Deliver via email (SendGrid, Microsoft Graph Mail API), upload to SharePoint, or store in Azure Blob Storage.</li> </ol>

For regulated industries like healthcare and financial services, exported PDFs can be digitally signed, watermarked with the recipient's name, and archived to a compliance-auditable storage account. Our <a href="/services/power-bi-consulting">Power BI consulting services</a> implement these distribution pipelines for organizations that need to deliver executive reports at scale.

<h2>Error Handling and Retry Patterns</h2>

Power BI API calls fail for predictable reasons. Building resilient automation means handling each failure mode explicitly:

<table> <thead><tr><th>HTTP Status</th><th>Cause</th><th>Correct Response</th></tr></thead> <tbody> <tr><td>401 Unauthorized</td><td>Token expired or invalid</td><td>Acquire a new token and retry once</td></tr> <tr><td>403 Forbidden</td><td>Service principal lacks workspace access or admin API not enabled</td><td>Check permissions—do not retry</td></tr> <tr><td>404 Not Found</td><td>Resource deleted or ID incorrect</td><td>Log and skip—do not retry</td></tr> <tr><td>429 Too Many Requests</td><td>Rate limit exceeded</td><td>Read Retry-After header, wait that duration, then retry</td></tr> <tr><td>500 Internal Server Error</td><td>Transient Power BI service issue</td><td>Retry with exponential backoff (3 attempts max)</td></tr> <tr><td>503 Service Unavailable</td><td>Power BI service under load</td><td>Retry with exponential backoff (3 attempts max)</td></tr> </tbody> </table>

<strong>Exponential backoff pattern:</strong> Wait 2 seconds after the first failure, 4 seconds after the second, 8 seconds after the third. Cap the maximum wait at 60 seconds. After 3-5 retries, fail the operation and alert an operator—continuing to retry masks real problems.

<h2>Rate Limiting and Throttling Considerations</h2>

The Power BI REST API enforces rate limits at multiple levels. Understanding these limits is essential for designing automation that does not hit throttling:

<table> <thead><tr><th>Limit Category</th><th>Threshold</th><th>Scope</th><th>Notes</th></tr></thead> <tbody> <tr><td>General API calls</td><td>200 requests per hour</td><td>Per service principal or user</td><td>Applies to most endpoints</td></tr> <tr><td>Dataset refresh (Pro)</td><td>8 per day</td><td>Per dataset</td><td>Shared capacity limit</td></tr> <tr><td>Dataset refresh (Premium/Fabric)</td><td>48 per day (API), unlimited (XMLA)</td><td>Per dataset</td><td>Enhanced refresh via XMLA has no daily limit</td></tr> <tr><td>Export operations</td><td>5 concurrent exports</td><td>Per user/SP</td><td>Queue exports sequentially for large batches</td></tr> <tr><td>Admin API scan</td><td>30 GetInfo calls per hour</td><td>Per tenant</td><td>Batch workspaces (100 per call) to minimize calls</td></tr> <tr><td>Embed token generation</td><td>600 tokens per hour</td><td>Per service principal</td><td>Cache tokens; reuse until 2 minutes before expiry</td></tr> </tbody> </table>

<strong>Strategies to stay under limits:</strong> <ul> <li>Batch workspace IDs into groups of 100 for Scanner API calls.</li> <li>Cache embed tokens and reuse them for multiple users viewing the same report (tokens are not user-specific for App Owns Data).</li> <li>Spread refresh triggers across the hour using a queue with a configurable delay between calls.</li> <li>Use multiple service principals (with separate app registrations) if 200 calls per hour is insufficient—each SP has its own quota.</li> <li>Implement a client-side rate limiter (token bucket or leaky bucket algorithm) to guarantee compliance regardless of concurrent processes.</li> </ul>

<h2>CI/CD Integration with Azure DevOps and GitHub Actions</h2>

Modern Power BI development integrates the REST API into CI/CD pipelines for automated content deployment:

<ol> <li><strong>Developer commits</strong> .pbix file or Tabular Model metadata (TMDL) to a Git repository.</li> <li><strong>Pipeline triggers</strong> on merge to the release branch.</li> <li><strong>Build stage:</strong> Validate the model using Tabular Editor CLI or Best Practice Analyzer rules.</li> <li><strong>Deploy stage:</strong> Use the Pipelines API or Import API to deploy to the target workspace (test first, then production on approval).</li> <li><strong>Post-deploy:</strong> Trigger dataset refresh, validate refresh success, run automated DAX query tests against the deployed model.</li> <li><strong>Notify:</strong> Post deployment status to a Teams channel or Slack via webhook.</li> </ol>

This eliminates manual .pbix uploads and ensures every deployment is auditable, repeatable, and tested.

<h2>Security Considerations for API Automation</h2>

API automation introduces new attack surfaces that must be addressed:

<ul> <li><strong>Principle of least privilege:</strong> Grant workspace Member (not Admin) to service principals. Use separate SPs for read-only governance scans vs. write operations like refresh and deployment.</li> <li><strong>Secret rotation:</strong> Automate 90-day client secret rotation using Azure Key Vault with Event Grid notifications to update dependent services.</li> <li><strong>Network restrictions:</strong> Restrict service principal sign-in to known Azure subnet IP ranges using Conditional Access policies.</li> <li><strong>Audit trail:</strong> Every API call generates an activity event in the Power BI audit log. Monitor for unusual patterns—bulk exports at odd hours, new service principals accessing workspaces, or unexpected workspace deletions.</li> <li><strong>Token exposure:</strong> Never log access tokens. If a token is exposed, revoke the service principal's sessions immediately and rotate the credential.</li> </ul>

<h2>Getting Started: Recommended Implementation Order</h2>

For organizations beginning their Power BI API automation journey, this sequence delivers incremental value at each step:

<ol> <li><strong>Refresh monitoring:</strong> Automate GetRefreshHistory polling and alerting. Immediate ROI—data teams learn about failures in minutes instead of hours.</li> <li><strong>Tenant inventory:</strong> Run GetGroupsAsAdmin and GetDatasetsAsAdmin weekly. Eliminates workspace sprawl blindness.</li> <li><strong>Activity log extraction:</strong> Automate GetActivityEvents daily. Powers compliance auditing and usage analytics.</li> <li><strong>Workspace provisioning:</strong> Standardize workspace creation via API. Eliminates governance drift.</li> <li><strong>Content deployment pipelines:</strong> Integrate with Azure DevOps/GitHub Actions. Eliminates manual .pbix uploads.</li> <li><strong>Scanner API metadata extraction:</strong> Build a complete data catalog. Enables impact analysis and lineage mapping.</li> <li><strong>Embedding:</strong> Deploy App Owns Data embedding for external customer-facing analytics.</li> </ol>

Each step builds on the previous one, creating a progressively more automated and governed Power BI environment.

<h2>Talk to a Power BI Automation Specialist</h2>

EPC Group has implemented Power BI REST API automation for healthcare systems managing HIPAA-regulated patient analytics, financial services firms requiring SOC 2-compliant deployment pipelines, and SaaS companies embedding analytics for thousands of end users. Whether you need a governance automation framework, a CI/CD pipeline for Power BI content, or a full embedded analytics platform, our team has the enterprise experience to deliver it. <a href="/contact">Contact us for a free consultation</a> to speak with a Power BI automation architect.