Embed Production Analytics Into Your Manufacturing Platform

Embed production analytics into your MES, ERP, or industrial platform using iframe or API embedding with full white-label support. Knowi provides SSO integration and per-facility tenant isolation so each plant or production line sees only its own data. The embedded dashboards inherit your platform's branding, making them look like a native feature rather than a third-party tool.

Yes, embedded analytics can connect directly to the databases behind MES and ERP systems without requiring a separate ETL pipeline. Knowi has native connectors for SQL Server, Oracle, and PostgreSQL, which are the most common backends for manufacturing execution and enterprise resource planning systems. Queries run against the source databases at read time, so dashboards reflect current production data without waiting for batch exports or warehouse loads.

The best embedded BI tool for industrial IoT needs native support for time-series databases (InfluxDB, TimescaleDB) and NoSQL stores (MongoDB, Cassandra) alongside relational data. Knowi handles all three database types and can join IoT sensor data with relational MES or ERP records in a single query. This eliminates the need to consolidate everything into one warehouse before you can analyze it, which is a common bottleneck for manufacturers with mixed data architectures.

Build an embedded OEE dashboard by connecting directly to your MES for availability, performance, and quality data, then calculating Overall Equipment Effectiveness in real time. Knowi supports live queries against production databases, so OEE scores update as new data arrives rather than relying on end-of-shift batch reports. Embed the finished dashboard into your manufacturing platform via iframe, and use row-level security to scope each view to a specific line or facility.

Multi-tenant row-level security filters production data per facility at query time, ensuring each factory sees only its own records. SSO tokens passed during authentication determine which plant's data each user can access, and the filtering happens before results are returned. This means a single deployment can serve dozens of facilities without any risk of cross-facility data exposure.

Embedded analytics handle real-time sensor data through direct connections to time-series databases like InfluxDB and TimescaleDB, as well as NoSQL stores like MongoDB and Cassandra. Knowi runs live queries against these sources without requiring batch ETL, so dashboards update as new sensor readings arrive. Built-in anomaly detection alerts can trigger notifications when sensor values breach defined thresholds, enabling immediate response to equipment faults or process deviations.

No, a data warehouse is not required. Cross-source joins let you query MES, ERP, and IoT databases directly at read time and combine the results in a single dashboard widget. Knowi eliminates the need for a warehouse, an ETL pipeline, or staging tables, which removes months of data engineering work and keeps your analytics layer closer to your live production data.

Most teams ship embedded dashboards in days to weeks, not months. A basic iframe embed can go live the same day once your data source is connected and a dashboard is built. Full white-label deployment with SSO authentication and per-facility row-level security typically takes one to two weeks, depending on how many data sources and user roles are involved.

Knowi provides iframe embedding, a JavaScript SDK, and a REST API for embedding analytics into any manufacturing platform. Connect to your MES, ERP, or IoT data sources, build dashboards, then embed them into your product with SSO authentication and row-level security. Each facility or client tenant sees only their own data.

Yes. Knowi connects natively to SQL Server, Oracle, PostgreSQL, MySQL, MongoDB, and other databases commonly used by MES and ERP systems like SAP, Oracle EBS, and Epicor. You can also connect via REST APIs for cloud-based manufacturing platforms. No ETL pipeline or data warehouse is required.

Knowi connects to time-series databases (InfluxDB, TimescaleDB), document stores (MongoDB, Cassandra), and industrial protocols via REST API connectors for OPC-UA and MQTT broker data. Sensor payloads are queried natively without flattening nested structures. Dashboards refresh on configurable intervals for near-real-time shop floor visibility.

Yes. Knowi's row-level security and multi-tenant architecture ensure each plant, facility, or client tenant sees only their authorized data. You build one dashboard and deploy it across every location. Permissions are enforced at the query level, so data isolation is not dependent on frontend filtering.

No. Knowi queries your MES, ERP, and IoT databases directly and joins data across sources at read time. You do not need to build a Snowflake or BigQuery warehouse before creating dashboards. This eliminates months of data engineering work and lets you start analyzing production data immediately.

Most teams ship their first embedded manufacturing dashboard within days, not months. Knowi provides pre-built connectors, a drag-and-drop dashboard builder, and embedding APIs with SSO and row-level security built in. There is no custom frontend development required.

Yes. Knowi's natural language interface lets plant managers, quality engineers, and operations leads type questions like "show me defect rates by shift this week" and get instant visual results. No SQL knowledge is required. This reduces the backlog on data teams and gives front-line staff faster access to production metrics.

Building custom manufacturing dashboards in-house typically takes 6 to 12 months and requires a dedicated frontend and data engineering team. Knowi provides the full stack out of the box: data connectors, cross-source joins, a dashboard builder, white-label embedding, SSO, and row-level security. Most teams go from first connection to embedded dashboard in under two weeks.

Knowi supports 30+ data sources including SQL Server, Oracle, PostgreSQL, MySQL, MongoDB, Snowflake, InfluxDB, Cassandra, Elasticsearch, TimescaleDB, REST APIs, JSON, and CSV files. You can also connect to industrial data via OPC-UA and MQTT through Knowi's REST API connector. Cross-source joins let you blend data from any combination of these sources in a single query.