ML Models, Data Analysis & Dashboards
Understand the data that runs your business
Core capabilities
- Custom Machine Learning model development
- Real-time operational health dashboards
- Automated data pipeline engineering
- Predictive analytics and forecasting
- Anomaly detection and instant alerting systems
The challenge
No clear view of what's driving performance
Decisions made on gut feeling instead of evidence
Valuable data trapped in systems that don't talk to each other
How Operis OS solves it
- Single source of truth for business performance
- Predict customer behaviour before it happens
- Automated alerts when metrics move outside bounds
What's involved
Phase 1:Data source audit and integration
Phase 2:Custom ML model development and training
Phase 3:Real-time dashboard deployment
Phase 4:Alerting and anomaly detection setup
Frequently asked questions
Our data is messy. Do we need to clean it first?
No. Data cleaning and pipeline engineering are the first steps of our engagement. We build automated data pipelines that clean and normalize your data on the fly.
Do you use third-party BI tools?
We work with whatever you currently use (PowerBI, Tableau, Looker) or can build custom web-based dashboards if you don't have an existing BI stack.
Who owns the ML models once built?
You do. We build, train, and deploy them into your environment. The intellectual property and the models belong to your business entirely.
This service is key in these industries
Every engagement starts with a conversation.
Pricing is scoped after discovery. We do not quote before we understand your environment.
Book a Discovery Call