IT / Technology Evaluation Track · C-Suite
The Chief Technology Officer (CTO)'s Guide to Selecting and Scaling Manufacturing ERP
Build on an open, extensible industrial data platform. Connect machine PLCs, AI decision models, and corporate systems without proprietary barriers.
Core Operational Frustrations
Pain Points That Trigger This Evaluation
Pain Point 01
Rigid, closed proprietary data schemas preventing data science initiatives
Pain Point 02
Inability to ingest high-frequency IoT machine telemetry in real time
Pain Point 03
Vendor lock-in with closed proprietary databases and hidden export fees
Selection Framework
Non-Negotiable Buying Criteria for Chief Technology Officer
Criterion 01
Modern technology stack (TypeScript, Next.js, Node.js, PostgreSQL)
Criterion 02
Native streaming support for industrial protocols (OPC UA, MQTT, MTConnect)
Criterion 03
Accessible time-series data storage and open integration hooks
Architectural Rebuttal
Addressing Common Doubts & Technical Objections
Objection: “Vendor lock-in and inability to access raw machine telemetry.”
Werkora Resolution: Werkora uses PostgreSQL with standard relational tables and open APIs. You retain 100% root access and ownership of all raw data.
Search Intent & Evaluation Queries
“Manufacturing ERP SCADA integration OPC UA REST API endpoints”“PostgreSQL manufacturing ERP data model and schema design”“Industrial IoT telemetry ingestion into ERP database”