Decisions in seconds. Reporting in days.
Operations needs sub-minute insight. Your data warehouse refreshes every six hours. The mismatch costs more every year.
Operations needs sub-minute insight, your warehouse refreshes every six hours, SLA breaches spotted hours late. Fix it with Microsoft Fabric Real-Time Intelligence (Eventstreams + KQL) + Activator alerts · alerts in 90 seconds, 2 SLA breaches per month avoided.
If half of these sound familiar, this is your fight.
No formal assessment needed · just an honest look at the daily friction.
Operations teams override BI dashboards because they're always behind reality.
Critical alerts are based on yesterday's data · or last week's.
You can't answer questions about right-now without a custom query.
Front-line teams build their own real-time dashboards in Excel from system exports.
Anomaly detection runs once a day at best.
Service-level breaches are spotted hours after they happen.
Why it happens
Batch-first architecture
Data lands once a day from ETL · the platform was never designed to support sub-minute freshness.
No streaming layer
Without Event Hubs, Eventstream or KQL databases, real-time signals never reach the platform at all.
Operational + analytical conflation
Trying to serve dashboards and operational alerts from the same warehouse table is fundamentally constrained.
What it costs you
SLA breaches
Service issues, fraud signals, stockouts spotted hours late · each event costs revenue or reputation.
Stale decisions
Operations runs on hunches because the data is too old. Trust in the platform erodes.
Shadow tools
Front-line teams build Excel-based real-time monitors · ungoverned, unmonitored, ungovernable.
The shortest path from problem to results.
Microsoft-first stack. Belgian and Estonian engineering. Senior team kickoff to year four.
Real-time intelligence on Microsoft Fabric
Eventstreams, KQL databases, Activator alerts · sub-minute freshness, governed and integrated.
See solutionStreaming architecture
Event Hubs + Stream Analytics for high-volume signals · plus integration with Fabric for downstream analytics.
See solutionOperational AI agents
Copilot Studio agents that watch real-time signals, alert humans and take low-risk actions automatically.
See solutionWhen operational alerts went from six hours to 90 seconds.
Fabric Real-Time Intelligence · 90-second alerting
A Belgian industrial player with critical SLAs and a 6-hour batch refresh cycle. We deployed Microsoft Fabric Real-Time Intelligence with Eventstreams and KQL databases, plus Activator alerts to Teams. Operational alerts now arrive in 90 seconds. Two SLA breaches per month avoided.
Real-time is achievable. Pick a critical signal.
Free 60-minute use-case shortlist · we'll find the highest-ROI real-time win.
Common questions, direct answers.
What is Microsoft Fabric Real-Time Intelligence?
A streaming analytics stack on Fabric: Eventstream (ingestion), KQL Database (sub-second querying), Activator (alerting and triggers). Replaces Event Hubs + Stream Analytics + KQL for most use cases at lower TCO.
When do we actually need real-time vs near-real-time?
Real-time (sub-minute) for SLA-driven operations: fraud, stock-outs, equipment failure. Near-real-time (15-min) for executive dashboards. Daily for most reporting. Don't over-engineer freshness.
How does Activator differ from email alerts?
Activator triggers actions: send a Teams alert, kick off a Power Automate flow, post to Slack, call a webhook. It's alerting designed for action, not inbox noise.
Can we layer real-time on top of existing batch?
Yes. Batch and real-time co-exist on Fabric · Eventstreams write to OneLake, semantic model picks up both. You don't rebuild your warehouse to add streaming.
What about IoT / sensor data?
Eventstreams natively support Event Hubs, Kafka, IoT Hub. KQL handles billions of events per day. Most industrial customers run their plant telemetry on this stack now.