Sensor-Driven, Analytics-Led Operations for Cost and Compliance Pressure 

Manufacturing SMEs and mid-market energy players are increasingly instrumented—but data remains siloed across MES, SCADA, ERP, and manual logs. The opportunity lies in turning operational data into decisions that improve uptime, efficiency, and ESG reporting. 

Dataikya delivers cloud-first analytics platforms that connect shop-floor data to business outcomes—without heavy on-prem BI or long transformation cycles. 

Core Use Cases 

Production, Quality & OEE Analytics 
Integrate MES, SCADA, and ERP data to track OEE, defect rates, and downtime reasons. Enable continuous improvement programs without complex or brittle BI implementations. 

Predictive Maintenance for Critical Assets 
Use sensor and maintenance-log data to predict failures in machines, fleets, and utilities—reducing unplanned outages and spare-parts costs, especially in energy and utilities SMEs. 

Energy Monitoring & Optimization 
Analyze consumption data from smart meters, BMS/GRMS, and IoT sensors to reduce wastage, optimize loads, and support ESG and regulatory mandates across GCC and Asia. 

Production Planning & Order Promising 
Link sales orders, capacity, and material availability to generate realistic production plans and commitment dates—helping SMEs compete with larger players on reliability. 

ESG & Regulatory Reporting for Facilities 
Automate emissions, waste, and energy KPI reporting to meet lender, investor, and government requirements with minimal manual intervention. 

 

Assess Your Operations, Assets, and ESG Data Readiness. 

Speak with our team about connecting production, sensor, and energy data to improve uptime, efficiency, and regulatory reporting. 

👉 Request an operations & ESG data consultation