Manufacturing data, moving as fast as the factory floor makes it.

Manufacturers usually arrive with three problems: machine and ERP data that do not connect, hidden downtime and quality loss, and supply-chain blind spots. Viewnear unifies shop-floor, sensor, and ERP data into one governed, trusted source on Snowflake, then builds OEE and quality analytics that expose the real cost drivers, with availability, performance, and quality in a single live view. Traceability runs from supplier to shipment, governed at every step for quality and audit.

Shop-floor, sensor, and ERP data is unified into one governed, trusted source on Snowflake, and high-volume machine and sensor data is ingested and governed as part of it. On a Viewnear engagement with a corrugated packaging manufacturer, Openflow ingested SAP Business One and its satellite systems on a batch, incremental schedule, landing raw data in Bronze, conforming it into a Silver enterprise model, and resolving governed Gold analytical models. Every transformation that builds those layers runs in dbt under version control and natively against Snowflake, so each rule is reviewed, tested, and traceable.

A runaway product catalog is fixed with product architecture and governance rules, and Snowflake is where both get enforced. For a corrugated packaging manufacturer whose catalog had exploded into thousands of SKUs and variants with no product architecture, Viewnear built a Standard SKU catalog defining the allowed variants and the rules for combining them, a golden record per domain with versioned rules and accountable owners, and What-if simulation that quantifies SKU-reduction and standardization decisions against demand, capacity, and business constraints before anyone commits to them. A Snowflake CoWork agent over governed Semantic Views lets business users validate SKUs, detect duplicates, and see which variants drive complexity in plain language.