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From Shop Floor Data to Operational Intelligence

Connect MES, SCADA, ERP, and quality systems. Build dashboards for OEE, production throughput, and predictive maintenance, blending time-series sensor data with business systems in real time.

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Trusted by teams across industries

Verizon Lockheed Martin Telstra Everbridge ConvergeOne NJM

How It Works

From data to dashboard in three steps

Skip the months-long ETL setup. Knowi connects directly to your infrastructure and gets you to insights in minutes.

1

Connect factory systems

Plug into historian databases, SCADA, MES, ERP, and IoT sensors. Knowi connects to InfluxDB, SQL Server, Oracle, MongoDB, REST APIs, and dozens more, no ETL required.

2

Blend operational and business data

Join machine telemetry with production schedules, quality records, and ERP data in a single query. Correlate downtime with root causes across systems.

3

Monitor, predict, and optimize

Build real-time dashboards for plant managers, quality engineers, and executives. Apply ML for predictive maintenance and anomaly detection on equipment data.

Capabilities

What can you do with manufacturing analytics on Knowi?

Connect to production, sensor, and ERP data without building a pipeline first, then monitor, analyze, and act in real time.

Track OEE across every production line in real time

Monitor availability, performance, and quality scores per machine, shift, product, or plant. Dashboards refresh in configurable intervals down to seconds so you can spot drops before they become losses.

Predict equipment failures from sensor data before downtime happens

Apply built-in ML models to vibration, temperature, and pressure readings for anomaly detection, failure prediction, and remaining useful life estimation — no separate ML infrastructure required.

Monitor defect rates and SPC charts across production runs

Track inspection results, control chart violations, and defect trends in real time. Correlate quality issues with specific machines, raw material lots, or operator shifts to find root causes faster.

Compare cycle times and throughput across plants and shifts

Track output rates, WIP levels, and cycle times side by side for every line and shift. Identify bottlenecks and compare actual vs. planned production to keep schedules on track.

Join ERP, MES, and historian data in one query without ETL

Blend time-series sensor data with SAP, Oracle, or other ERP and MES systems in a single cross-source query. No middleware, no staging tables, no data warehouse required.

Set real-time alerts when machine parameters leave normal range

Configure threshold and anomaly-based alerts on any machine metric. Get notified via Slack, email, PagerDuty, or webhook the moment values deviate from operating limits.

Dashboard Examples

See manufacturing analytics in action

Real dashboard patterns used by teams running on Knowi.

Production

OEE Dashboard

Visualize overall equipment effectiveness broken down by availability, performance, and quality. Compare OEE across machines, lines, and shifts to drive continuous improvement.

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Maintenance

Predictive Maintenance Dashboard

Monitor equipment health indicators, vibration, temperature, run hours, alongside maintenance history. ML models flag at-risk assets before failures occur.

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Quality

Quality Control Dashboard

Track defect rates, first-pass yield, and SPC metrics in real time. Drill down by product, machine, or material lot to identify root causes quickly.

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Why Knowi

What other tools can't do

Most analytics tools require a warehouse. Knowi connects directly to your data and gives your team AI, anomaly detection, and cross-source analytics out of the box.

Blend sensor data with business systems

Most BI tools can't query time-series databases. Knowi natively connects to InfluxDB, historians, and SCADA systems and joins them with ERP and MES data on the fly.

Machine data and business data belong in the same dashboard.

Predictive, not reactive

Built-in ML models analyze equipment sensor data to predict failures before they happen. No separate data science infrastructure required.

Stop fixing machines after they break.

Real-time shop floor visibility

Dashboards refresh in seconds with live data from production systems. Plant managers see current OEE, throughput, and quality, not yesterday's report.

Batch reports don't stop production line failures.

Self-service for plant teams

Plant managers and quality engineers ask questions in plain English, 'show me downtime events on Line 3 this week', and get instant answers.

The people on the shop floor should have the data at their fingertips.

Data Connectivity

Connect to everything. Join across anything.

No warehouse required. Knowi connects directly to your operational databases, APIs, and files.

Primary Databases
InfluxDBSQL ServerOraclePostgreSQLMongoDBSnowflake
Additional Databases
TimescaleDBElasticsearchMySQLCassandra
APIs & Files
REST APIsOPC-UASCADA APIsSAPJSONCSV

Cross-source joins - no ETL required

Combine data from any of the above on the fly. A single dashboard widget can pull from multiple sources in the same query. No warehouse. No staging tables.

Customer Success

See how manufacturing teams use Knowi

Real manufacturing companies running analytics on Knowi today.

Electronics Manufacturing

MacroFab's journey towards BI transformation with Knowi

MacroFab, a Houston-based electronics manufacturing platform, chose Knowi to transform their business intelligence capabilities. Knowi replaced their legacy tooling and gave engineering, operations, and finance teams a unified analytics layer across production data.

BI transformationManufacturing analyticsCross-team visibility
Full BI transformation for electronics manufacturing operations.
Read the full story
Medical Devices

How a medical device manufacturer analyzes QA data across hospital devices

A manufacturer of lab diagnostic devices for hospitals worldwide uses Knowi with MongoDB to analyze quality assurance data across their device fleet - tracking performance metrics, failure patterns, and compliance indicators at scale.

MongoDBQA analyticsMedical devicesCompliance
QA analytics across hospital diagnostic devices for a $350M medical manufacturer.

Frequently Asked Questions

Quick answers to common questions about manufacturing analytics on Knowi

How do I connect SCADA or historian data to an analytics dashboard?
Knowi has native connectors for InfluxDB, TimescaleDB, SQL Server, PostgreSQL, and other databases commonly used for SCADA and historian storage. For platforms like OSIsoft PI or Ignition, Knowi's REST API connector pulls data directly. You can build live dashboards on top of these sources without moving data into a separate warehouse first.
Can I build a predictive maintenance dashboard using sensor data?
Yes. Knowi includes built-in machine learning you can apply directly to vibration, temperature, pressure, and other sensor streams. You can train anomaly detection and classification models inside Knowi to predict equipment failures and estimate remaining useful life — without exporting data to a separate ML platform like SageMaker or Databricks.
How do I combine ERP data with MES and machine data in one report?
Knowi's cross-source join engine lets you query SAP, Oracle, or any ERP alongside MES and time-series sensor databases in a single step. For example, you can join work order data from SAP with cycle time data from an MES and defect logs from a quality database — all without ETL pipelines or a centralized data warehouse.
What is the best way to track OEE across multiple plants?
Knowi lets you connect to each plant's data source individually — even if they use different databases — and blend them into a single OEE dashboard. You can break down availability, performance, and quality by plant, line, shift, or product. Dashboards refresh in configurable intervals down to seconds for real-time visibility across your entire operation.
How does Knowi compare to Tableau or Power BI for manufacturing analytics?
Tableau and Power BI require you to move all data into a warehouse or extract before you can analyze it. Knowi connects directly to raw sources — InfluxDB, MongoDB, REST APIs, SQL databases — and lets you join them on the fly. This eliminates the ETL layer that adds weeks to manufacturing BI projects. Knowi also includes built-in ML for predictive maintenance and natural language querying, which Tableau and Power BI do not offer natively.
Can plant managers ask questions about production data without writing SQL?
Yes. Knowi's natural language search lets anyone type a question like 'show me downtime by machine this week' and get an instant chart. The system translates plain English into a query against your connected data sources and returns a visualization. No SQL training or technical background is needed.
How do I monitor quality control and defect rates in real time?
Knowi can connect to your quality management system, inspection databases, or sensor feeds and display SPC charts, defect Pareto charts, and control limit violations in real-time dashboards. You can set threshold alerts so quality engineers are notified via Slack, email, or PagerDuty the moment a metric goes out of spec. Correlation analysis lets you trace defects back to specific machines, material lots, or operators.
Can Knowi pull data from IoT sensors and PLCs on the factory floor?
Yes. If your IoT sensors or PLCs write to a database (InfluxDB, TimescaleDB, MySQL, etc.) or expose a REST/MQTT endpoint, Knowi can connect directly. For edge gateways that push to cloud stores like AWS IoT or Azure IoT Hub, Knowi connects to the underlying storage layer. This means you can visualize real-time sensor data alongside ERP and MES data in a single dashboard.
How do I get supply chain visibility across multiple suppliers and warehouses?
Knowi joins data from your ERP system, warehouse management software, supplier portals, and logistics APIs in one query. You can track inbound shipments, inventory levels by location, lead times, and supplier on-time delivery rates in a single dashboard. Because Knowi queries sources directly, you get up-to-date supply chain metrics without waiting for nightly ETL refreshes.

See manufacturing analytics with your own data

Connect your MES or historian data or send us a sample dataset. We'll build a working dashboard in your first call, not slides.

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