Integrate Microsoft Fabric — Unified Data Pipeline
Connect Microsoft Fabric in 5 minutes. Your agent queries dataset freshness, ingestion volume, pipeline lag, and backfill status—then enriches it with cross-channel context from 1,000+ marketing and analytics sources for complete visibility.
Key Takeaways Connect marketing data to Microsoft Fabric
Improvado creates direct data pipelines from your marketing platforms into Microsoft Fabric's unified analytics environment. The platform extracts data from Google Ads, Facebook, Salesforce, and 500+ other sources automatically. Your marketing data flows into Fabric's OneLake storage with real-time synchronization. No custom ETL development or manual data movement required.
Unified marketing analytics in Fabric
Marketing data arrives in Microsoft Fabric pre-transformed through Improvado's Marketing Common Data Model. Campaign metrics, customer data, and performance indicators are normalized for immediate analysis in Fabric's compute engines. You can run SQL queries, machine learning models, and real-time analytics on unified marketing data. Cross-channel attribution and customer journey analysis become possible with consistent data schemas.
Data objects and fields Improvado extracts from Microsoft Fabric
| Object | Fields |
|---|---|
| Campaign | cost impressions clicks conversions CPC CTR status |
| Ad Group | bids impressions clicks spend quality_score |
| Keyword | match_type CPC impressions clicks conversions |
| Ad | ad_type CTR impressions spend destination_url |
From connection to autonomous action in three steps
Connect
Connect your Microsoft Fabric workspace using service principal authentication or Azure AD OAuth. Grant read access to lakehouses, warehouses, and pipeline metadata across your capacity.
Ask
Ask questions like 'which semantic models have stale data?' or 'show me warehouse query performance by user' or 'what pipelines failed in the last 6 hours?'
Act
The agent pauses or resumes pipelines, refreshes semantic models on demand, adjusts capacity scaling settings, and triggers notebook runs when data quality thresholds are breached.
What teams ask their AI agent about Microsoft Fabric
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Analyze customer journey data across all touchpoints using Fabric's machine learning capabilities
Your AI agent analyzes Microsoft Fabric data and delivers actionable insights — automatically, in seconds.
Run real-time attribution models on unified campaign data from Google, Facebook, and email platforms
Your AI agent analyzes Microsoft Fabric data and delivers actionable insights — automatically, in seconds.
Generate executive dashboards combining marketing performance with sales and finance data in Fabric
Your AI agent analyzes Microsoft Fabric data and delivers actionable insights — automatically, in seconds.
Your agent doesn't just read Fabric — it orchestrates pipelines
Read
Reads pipeline execution logs, warehouse query performance metrics, lakehouse storage utilization, semantic model refresh status, capacity consumption patterns, notebook run history, and data flow health indicators.
Write
Pauses or resumes data pipelines, triggers semantic model refreshes, scales capacity units up or down, executes parameterized notebooks, modifies pipeline schedules, and updates workspace access permissions.
Monitor
Monitors pipeline failure rates, warehouse query latency spikes, capacity throttling events, lakehouse storage growth trends, semantic model staleness, and cross-workspace dependency health.
Query lakehouse metrics, trigger data refreshes, and monitor schema drift through Claude, ChatGPT, Cursor, or any MCP client. Every pipeline action, query, and alert is logged and governed automatically.
| Pipeline | Runtime | Success Rate |
|---|---|---|
| store-sales-hourly | 4.2 min | 99.8% |
| inventory-sync-realtime | 1.8 min | 98.9% |
| customer-behavior-daily | 18.7 min | 97.2% |
| supply-chain-warehouse | 31.4 min | 94.6% |
| pricing-optimization-batch | 12.3 min | 99.1% |
Send Microsoft Fabric data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
They extract data. Improvado deploys an agent.
Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Microsoft Fabric as one of 1,000+ integrated sources.
| Feature | Improvado | Supermetrics | Funnel.io | Fivetran |
|---|---|---|---|---|
| Data fields extracted | 200+ | ~90 | ~120 | ~80 |
| Total integrations | 1,000+ | ~150 | ~500 | ~300 |
| Cross-channel normalization (CDM) | ✓ Built-in | ✗ Manual | ● Basic mapping | ✗ Raw only |
| AI Agent access (MCP) | ✓ Read, Write, Monitor | ✗ | ✗ | ✗ |
| Data warehouse destinations | ✓ 16+ warehouses & BI tools | Sheets, Looker, BigQuery | BigQuery, Snowflake, Redshift | ✓ Broad warehouse support |
| Refresh frequency | Every 15 min | Scheduled triggers | Daily / 6hr | Every 15 min (premium) |
| SOC 2 Type II & HIPAA | ✓ | ✗ SOC 2 only | ✓ SOC 2 | ✓ |
| Best for | Teams that want an AI agent, not a pipeline | Small teams, spreadsheets | Mid-market, data teams | Engineering-led ELT pipelines |
Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.
Frequently asked questions
Which marketing platforms connect to Microsoft Fabric through Improvado?
How does data flow into Microsoft Fabric's OneLake?
Can I use Fabric's AI capabilities with marketing data from Improvado?
Does the integration support real-time marketing data?
How is marketing data transformed for Microsoft Fabric?
What's the setup process for Fabric integration?
"Improvado saves about 90 hours per week and allows us to focus on data analysis."
"Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours."
Put an AI agent on your Microsoft Fabric today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.