WaveFlow System Solutions 4.X
DataControl is an industrial analytics platform that integrates process, machine and business data in a single environment. It collects information from multiple sources (SCADA, CSV, IoT, PLC databases), processes it with dedicated AI algorithms, and presents results on clear dashboards — tailored to every operational level. Available in on-premise, cloud or hybrid architecture — no subscriptions and no vendor lock-in.
How DataControl works
DataControl combines industrial data integration, AI algorithm processing and result visualisation into a single coherent pipeline. Every stage is configurable and tailored to the specifics of your plant — without replacing existing infrastructure.
We connect to your existing plant infrastructure — SCADA, PLC, IO-Link, CSV, REST API, SQL databases. No hardware replacement, no production downtime.
Data is cleaned, time-synchronised and stored in a TimeSeries database. Feature engineering, KPI and OEE calculation performed server-side within the plant.
Machine learning models trained on your plant's own data: OEE prediction, anomaly detection, operating mode clustering, LSTM networks.
Results appear on Grafana dashboards adapted to every level of your organisation. SMS/email alerts, automated reports, historical data export.
✔ The system runs locally — in your network, on your server.
✔ Data never leaves the plant network — unless you want it to.
✔ Export, connect to existing systems, or leave as-is.
CSV 
Excel
REST API
MQTT / OPC-UA
Grafana
MES / ERP
On-premiseAnalytical methods and AI models
DataControl does not impose ready-made templates. For every deployment we select analytical methods appropriate to the specifics of your process and data — from classical process statistics to deep LSTM neural networks and Monte Carlo analysis.
Before we design anything, we need to understand your data. We check what is actually being measured, examine value distributions, identify gaps and correlations. This stage eliminates guesswork — it is where every deployment begins.
Sometimes data naturally groups into clusters that nobody previously defined — machine operating modes, defect types, energy consumption profiles. Clustering algorithms reveal these patterns without requiring manual labelling of historical records.
Time-series data has memory — what happens now depends on what happened before. LSTM networks learn these dependencies and forecast where temperature, pressure or throughput is heading — with a look-ahead of minutes, hours or days.
The model learns how your machine or process normally behaves — and flags when something starts to deviate from the norm. No manual alarm thresholds required. The system detects irregularities automatically and sends a notification before a failure or reject occurs.
Which variable has the greatest impact on product quality? Where are you actually losing throughput? Feature importance analysis answers these questions with numbers — not intuition. It shows which parameters deserve attention first.
Instead of a single forecast you get a distribution of possible outcomes — with the probability of each. Useful for production planning, assessing the risk of exceeding quality norms and "what if" analysis across different process scenarios.
Business case for deployment
DataControl is a one-off implementation cost. Decisions based on gut feeling, invisible bottlenecks, manual Excel reporting and no visibility into what drives OEE — these are fixed, recurring costs. Compare what you pay for today with the cost of deploying an analytics system.
Key areas of hidden losses
Data based on industry reports by McKinsey, Deloitte and proprietary research from deployments in manufacturing and processing industries.
On-premise system architecture
DataControl runs locally — within the plant network, without transferring data to the cloud and without monthly licence fees. Full control over production data, OT/IT security and independence from external SaaS vendors.
We don't deploy off-the-shelf platforms. We configure our algorithms and databases from scratch, for the specific process, specific data sources and the specific questions you need answered.
We connect to SCADA, IO-Link, REST API, MQTT, OPC-UA, SQL/NoSQL databases and CSV files — in real time or in batch mode, depending on what you need.
Dedicated database — time-series and relational. Data archived locally for years, without limits imposed by external vendors.
Models trained on your data. Prediction, anomaly detection, clustering, feature analysis — all running locally, without network latency.
Grafana and dedicated web panels — accessible via browser from any device in the plant network. Alerts, trend charts, data export.
REST API, MQTT, CSV and PDF export. The platform can operate autonomously or feed data to MES, ERP and other production management systems.
Dashboard data updated automatically — accessible from any device in the plant network
Sensor signal processing latency — data written to the database in real time
On-premise — data never leaves the client's plant network
No limit on machines or sources — the system scales with your needs
Live preview
Four key strategic indicators — Growth (daily revenue), Changeability (IT availability), Happiness (employee eNPS) and Performance (production OEE) — each with deviation from target and monthly trend.
Correlation charts showing causal relationships between variables: impact of campaign ROI on revenue (r=+0.77), MTTR on system availability (r=−0.96), eNPS on absenteeism and production OEE.
A table of all indicators broken down by perspective and area — showing average value, target, percentage of goal achieved and number of days the KPI remained in the green zone.
Process data visualisation
Below is a sample dashboard generated by DataControl from real deployment data. The system visualises OEE values, machine trends, anomalies and failure predictions — all in a single view, accessible in the browser on any device.
Deployments and results
Two examples of DataControl industrial analytics deployments: OEE prediction with 24-hour lead time and automatic identification of bottlenecks on an assembly line. Results verified operationally.
Deployment and technical support
We don't sell software and leave the client with documentation. We guide the plant through the entire industrial analytics deployment: from a free technical consultation, through go-live, to long-term support.
Ready to implement?
Every DataControl implementation starts with a free technical consultation — we assess your available data sources, analytics scope and real savings potential. No commitment and no ready-made offers at the first meeting.
More information is available on desktop or tablet.
