DataMiner Intelligence
Bring DataMiner Intelligence to your live data. Explore the use cases teams start with: finding root causes, handling bookings, creating tickets, building apps. Pick yours. Add the next one when you’re ready.
Understand
Rely less on prebuilt dashboards. Put operational expertise within everyone’s reach, from admin and engineering to operations.
For Everyone
Ask a question and get the chart, table or map that answers it. Straight from live data in your digital twin. No dashboard to build first.
You ask Analyze the alarms and trends on our video server in Brussels.
Handled by Engineering
For Support
See every outstanding ticket at a glance. Prioritize and escalate with confidence, because each ticket is checked against what is happening right now.
You ask Show how our tickets flow from type to state to priority.
Handled by Ticketing Agent , then Service Agent
For InfrastructureOperationsBookingService assurance
Validate any data set, from administrative records to live device configuration. DataMiner Intelligence cross-checks them for you.
You ask Do all our Juniper EX4650 switches follow the naming convention?
Handled by InfraOps Agent
For Support
Give every first-line agent the same quality of guidance. Start by assisting your team. Then automate first-line workflows, one step at a time.
You ask A customer can’t watch Cartoon Network on their Chromecast. Please troubleshoot.
Handled by First-line support , then Service Agent
For Second-line support
Give second-line engineers extensive analysis on demand. See every device, service and event involved, and get to the cause faster.
You ask Why does this customer’s IPTV keep buffering tonight?
Handled by Service Agent , then RCA Agent
For EngineeringOperationsSupportBookingAdmins
See agent insights as real-time widgets in the DataMiner Assistant chat. Explore live data, pin the visuals you need and build a focused dashboard for the job at hand. Without leaving the conversation.
You ask Where are these elements located?
Handled by InfraOps Agent
For Booking
Get an instant overview of the upcoming schedule. See which jobs need attention because of outliers or an incomplete booking.
You ask Which jobs are scheduled for today?
Handled by Booking Agent
For OperationsSupport
DataMiner’s machine learning engine detects anomalies in real time. DataMiner Intelligence correlates them across thousands of metrics, so you see what changed together.
You ask What changed around the memory alarm on this server last week?
Handled by RCA Agent
For EngineeringAdminProcurement
Use scheduled and historical events to optimize costs, licenses and subscriptions on dynamic resource platforms. On premises or in the cloud.
You ask What do all jobs cost this month, pay-as-you-go and subscriptions included?
Handled by Booking Agent
For OperationsSupport
Ask the agent to investigate. It reasons across alarms, assets, locations and recent changes. Then it gives you a verdict, the impact chain and a suggested action.
You ask Do an RCA on the CRC errors.
Handled by RCA Agent , then Ticketing Agent
See these use cases on your own data. Start a 7-day free trial
Act
Agents prepare bookings, provision assets, create tickets and resolve incidents. Every action runs through governed, deterministic workflows, with approvals, verification and recovery. You decide how far each agent goes.
For OperationsSupport
The agent troubleshoots and proposes a predefined, deterministic resolution workflow. You approve. As trust grows, you let it handle more on its own, within the boundaries you set.
You ask Can you check the signal quality on the London downlink?
Handled by RCA Agent , then Service Agent
For Booking
Write your resource selection rules in plain text. Agents apply them to every booking, even when the rule set gets complex. And they explain each choice.
You ask Which decoder should I use for this HD job?
Handled by Booking Agent
For Booking
Hand over the documents you receive, like transmission orders and event schedules. The agent reads them and schedules the jobs, with resources and configuration filled in.
You ask Schedule the match in this transmission order.
Handled by Booking Agent
For BookingOperations
Pull the details you need from any document: satellite, frequencies, symbol rates, event times. They land in the right fields, ready for your review.
You ask Extract the satellite parameters from this PDF.
Handled by Booking Agent
For Booking
Ask the agent to create or change a booking, or to start from one you made before. It validates every booking against your business rules.
You ask Schedule the same job as JKO1 for this evening at 18:00.
Handled by Booking Agent
For Infrastructure
Detect assets on your network in real time and complete your asset database. Then provision DataMiner elements for monitoring and automation, alarm templates included.
You ask Discover all devices in IP range 10.13.1.0/24.
Handled by InfraOps Agent , then DataMiner Architect
For FacilitiesInfrastructure
Keep facilities and inventory in step with reality. Ask where assets are, find free rack space and reserve slots. Let the agent keep the records current.
You ask Where can I fit two more servers in row 2?
Handled by InfraOps Agent
For OperationsSupport
Let the agent create the ticket for you, with the context already in it: what happened, which assets are affected, where they are and what to check first.
You ask Create a ticket for this incident.
Handled by RCA Agent , then Ticketing Agent
Let agents take the first steps in your operation. Get started now
Create
Your operation keeps changing. Describe what you need and DataMiner Intelligence helps you build it: an app, a data source, a data model or an agent that runs on its own schedule. It all runs on the same platform, with the same context and governance.
Describe the app you need. DataMiner Intelligence builds it on your live data. Refine it by simply asking, then share it with your team.
Example CityMind, a city operations app built with DataMiner’s AI App Builder
Get a briefing on what matters right now, with suggested next steps and the questions worth asking.
Need data you don’t have yet? Ask for it. DataMiner Assistant writes the code, creates the data source and brings the data into context.
Put agents on a schedule. They run the analysis, write the briefing and keep a run history. Ready before your shift starts.
Shape your data model by asking. Add objects, fields and relationships, and see exactly what changed.
Compound
Specialized agents each have their own skills and responsibilities. Together, agent to agent, they turn your intent into an outcome. And every outcome makes the next one faster.
Use them out of the box, adapt them, or build your own. Every agent works on the same operational context and acts through the same governed tools.
Define an agent in the UI or in code with CI/CD: instructions, reusable skills, data tools and automation tools.
Agents hand off work, share context and trigger each other’s actions to turn intent into outcomes.
MCP integration brings DataMiner tools and context to the external agents you already use.
By team
Operations
Support
Booking & scheduling
Engineering
Infrastructure & facilities
Admin & procurement
Try it on your own data, free for 7 days, and start with the use case that makes the biggest difference for your team.