Industrial process control, production performance, and maintenance

DAT'Process is our industrial supervision platform dedicated to equipment and process performance. Analyze your machine data, anticipate failures, and optimize the productivity of your production lines.

dat process iot dative

Real-time production monitoring

CENTRALIZED PROCESS DATA

DAT’Process continuously aggregates data from production lines: machine parameters, states, cycle times, associated consumption, and quality indicators. All data is centralized to provide a clear, real-time overview of process operations. An essential comprehensive view for the effective management of industrial activities.

production data process vision

Real-time production monitoring

CENTRALIZED PROCESS DATA

DAT’Process continuously aggregates data from production lines: machine parameters, states, cycle times, associated consumption, and quality indicators. All data is centralized to provide a clear, real-time overview of process operations. An essential comprehensive view for the effective management of industrial activities.

Real-time production monitoring

CENTRALIZED PROCESS DATA

DAT’Process continuously aggregates data from production lines: machine parameters, states, cycle times, associated consumption, and quality indicators. All data is centralized to provide a clear, real-time overview of process operations. An essential comprehensive view for the effective management of industrial activities.

Prediction of failures and drift

ADVANCED EQUIPMENT MONITORING

By analyzing equipment behavior and weak signals related to processes (vibrations, oil quality, temperature, etc.), DAT’Process identifies anomalies before they impact production. Maintenance actions can then be planned in a targeted and proactive manner. This approach secures operations and improves the availability of your installations.

predictive monitoring IoT data process

Prediction of failures and drift

ADVANCED EQUIPMENT MONITORING

By analyzing equipment behavior and weak signals related to processes (vibrations, oil quality, temperature, etc.), DAT’Process identifies anomalies before they impact production. Maintenance actions can then be planned in a targeted and proactive manner. This approach secures operations and improves the availability of your installations.

Prediction of failures and drift

ADVANCED EQUIPMENT MONITORING

By analyzing equipment behavior and weak signals related to processes (vibrations, oil quality, temperature, etc.), DAT’Process identifies anomalies before they impact production. Maintenance actions can then be planned in a targeted and proactive manner. This approach secures operations and improves the availability of your installations.

Advanced process analysis

INTELLIGENT DATA EXPLOITATION

The collected data is analyzed to understand the interactions between settings, operations, and industrial performance. DAT’Process highlights key correlations to identify process optimization levers. Decision support to initiate continuous improvement based on concrete field facts.

iot dative process data analysis

Advanced process analysis

INTELLIGENT DATA EXPLOITATION

The collected data is analyzed to understand the interactions between settings, operations, and industrial performance. DAT’Process highlights key correlations to identify process optimization levers. Decision support to initiate continuous improvement based on concrete field facts.

Advanced process analysis

INTELLIGENT DATA EXPLOITATION

The collected data is analyzed to understand the interactions between settings, operations, and industrial performance. DAT’Process highlights key correlations to identify process optimization levers. Decision support to initiate continuous improvement based on concrete field facts.

Performance optimization

STABILITY AND EFFICIENCY

Precise monitoring of production, quality, and efficiency indicators to detect losses, deviations, and sources of inefficiency. DAT’Process supports the adjustment of process parameters to improve repeatability and yields. Fine-tuned control to reconcile productivity and product quality.

dative dat process iot

Performance optimization

STABILITY AND EFFICIENCY

Precise monitoring of production, quality, and efficiency indicators to detect losses, deviations, and sources of inefficiency. DAT’Process supports the adjustment of process parameters to improve repeatability and yields. Fine-tuned control to reconcile productivity and product quality.

Performance optimization

STABILITY AND EFFICIENCY

Precise monitoring of production, quality, and efficiency indicators to detect losses, deviations, and sources of inefficiency. DAT’Process supports the adjustment of process parameters to improve repeatability and yields. Fine-tuned control to reconcile productivity and product quality.

Connection to industrial systems

NATIVE INTEGRATION

DAT’Process integrates directly with existing environments: PLCs, SCADA, CMMS, ERP, and business-specific tools. Data flows seamlessly to ensure consistency and continuity in analysis. A solution designed to fit permanently into your industrial ecosystem.

dative dat process industry IoT

Connection to industrial systems

NATIVE INTEGRATION

DAT’Process integrates directly with existing environments: PLCs, SCADA, CMMS, ERP, and business-specific tools. Data flows seamlessly to ensure consistency and continuity in analysis. A solution designed to fit permanently into your industrial ecosystem.

Connection to industrial systems

NATIVE INTEGRATION

DAT’Process integrates directly with existing environments: PLCs, SCADA, CMMS, ERP, and business-specific tools. Data flows seamlessly to ensure consistency and continuity in analysis. A solution designed to fit permanently into your industrial ecosystem.

Leveraging process data

Scalable Applications and Control

Process data is leveraged through customized dashboards, automated reports, and shared indicators. DAT'Process enables new applications, including multi-site monitoring, performance tracking, and strategic decision support. An scalable platform designed to support your industrial transformation.

data valorization IoT process data

Leveraging process data

Scalable Applications and Control

Process data is leveraged through customized dashboards, automated reports, and shared indicators. DAT'Process enables new applications, including multi-site monitoring, performance tracking, and strategic decision support. An scalable platform designed to support your industrial transformation.

Leveraging process data

Scalable Applications and Control

Process data is leveraged through customized dashboards, automated reports, and shared indicators. DAT'Process enables new applications, including multi-site monitoring, performance tracking, and strategic decision support. An scalable platform designed to support your industrial transformation.

Control each of your processes within a dedicated interface

With DAT’Process, you monitor in real time the health of your equipment, the stability of your processes, and the performance of your production lines.

We help you identify deviations, detect weak signals, reduce waste, and structure a continuous improvement process that enhances quality, productivity, and machine availability.

Machinery and equipment

Monitoring of machine performance, production cycles, and energy consumption. Analysis of key performance indicators to improve equipment availability and productivity.

Machinery and equipment

Monitoring of machine performance, production cycles, and energy consumption. Analysis of key performance indicators to improve equipment availability and productivity.

Industrial production

Analysis of throughput, cycle times, and production volumes. Identification of performance losses to optimize production line efficiency.

Industrial production

Analysis of throughput, cycle times, and production volumes. Identification of performance losses to optimize production line efficiency.

Connected maintenance with CMMS

Integration with your CMMS, specifically with DIMO Maint, to convert field alerts into maintenance actions. Direct creation and tracking of work orders based on detected anomalies.

Connected maintenance with CMMS

Integration with your CMMS, specifically with DIMO Maint, to convert field alerts into maintenance actions. Direct creation and tracking of work orders based on detected anomalies.

Equipment energy performance

Analysis of energy consumption across machines and production lines. Identification of anomalies and optimization of industrial process energy efficiency.

Equipment energy performance

Analysis of energy consumption across machines and production lines. Identification of anomalies and optimization of industrial process energy efficiency.

Centralized industrial data

Centralization of data from PLCs, IoT sensors, ERP, MES, and CMMS. A single platform to analyze, correlate, and manage industrial performance.

Centralized industrial data

Centralization of data from PLCs, IoT sensors, ERP, MES, and CMMS. A single platform to analyze, correlate, and manage industrial performance.

Multi-site and multi-equipment correlation

Centralization and performance comparison across lines, machines, and sites. Identification of deviations, analysis of best practices, and large-scale deployment supported by a decision-making tool.

Multi-site and multi-equipment correlation

Centralization and performance comparison across lines, machines, and sites. Identification of deviations, analysis of best practices, and large-scale deployment supported by a decision-making tool.

Deployment steps

The deployment of DAT’Process follows a structured approach, from equipment analysis to the implementation of predictive maintenance strategies. Data from machines and industrial systems is centralized to detect anomalies, optimize performance, and improve asset reliability.

01

Equipment audit and scoping

Analysis of industrial installations: machinery, production lines, existing sensors, and information systems (PLCs, ERP, MES, CMMS). Identification of data sources and target performance indicators.

02

Machine and system connectivity

03

Data centralization and structuring

04

Implementation of analytics and alerts

05

Predictive maintenance and continuous optimization

01

Equipment audit and scoping

Analysis of industrial installations: machinery, production lines, existing sensors, and information systems (PLCs, ERP, MES, CMMS). Identification of data sources and target performance indicators.

02

Machine and system connectivity

03

Data centralization and structuring

04

Implementation of analytics and alerts

05

Predictive maintenance and continuous optimization

Do you have a project you would like to discuss with our technical team?

Do you have a project you would like to discuss with our technical team?

Technical Articles and News

Technical Articles and News

Case studies, customer projects, regulatory changes, and technological innovations: Dative teams regularly share their expertise in industrial IoT, energy management, and equipment performance. Continuous monitoring to analyze field challenges, demonstrate concrete data use cases, and support industrial operators through their transitions.

Case studies, customer projects, regulatory changes, and technological innovations: Dative teams regularly share their expertise in industrial IoT, energy management, and equipment performance. Continuous monitoring to analyze field challenges, demonstrate concrete data use cases, and support industrial operators through their transitions.

DATIVE develops IIoT supervision and optimization platforms for industrial operators and machine builders.

AIRPARC

100 rue de Norvège

69125, Lyon Saint-Exupéry Airport

DATIVE ©2026 All rights reserved

AIRPARC

100 rue de Norvège

69125 Lyon Saint-Exupéry Airport

DATIVE ©2026 All rights reserved