Industrial Maintenance and IIoT: How to Convert Field Data into Operational Performance with DAT’Process and DIMO MAINT
Hugo
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In a rapidly changing industrial context, the challenges of availability, performance, and cost control have never been more critical. To meet these challenges, a clear strategy is required: transitioning from reactive to predictive maintenance, based on concrete field data.
With this in mind, DATIVE, in partnership with DIMO Maint, has produced a dedicated e-book: "Industrial Maintenance & IIoT: optimize, anticipate, transform."
Download our DAT'Process documentation
Why rethink your industrial maintenance strategy?
Too often, industrial maintenance is still approached reactively, with interventions occurring only after a failure has occurred. This operational model leads to:
Costly unplanned downtime
Increased pressure on maintenance teams
Difficulty in leveraging feedback and historical data
The solution? Transitioning to data-driven smart maintenance based on field data.
IIoT supporting predictive maintenance
At DATIVE, we assist industrial players in leveraging their field data to deliver sustainable improvements in the performance, quality, and energy efficiency of their sites.
The Industrial Internet of Things (IIoT) connects production equipment to retrieve key real-time data (temperature, pressure, vibration, operating time, etc.). However, without the appropriate analysis tools, this data remains underutilized.
This is where DAT’Process comes in.
DAT’Process: hypervision to pilot your industrial process
Developed by our DATIVE teams, DAT’Process is a software solution designed to connect, centralize, analyze, and leverage production and maintenance data. The objective is to implement a pragmatic predictive maintenance strategy that integrates with your existing tools (CMMS, ERP, MES, etc.).
Key features of DAT’Process:
Connection: selection and integration of relevant sensors based on your objectives
Collection & identification: precise traceability of each data point, equipment, and interconnection
Analysis: customizable dashboards and real-time visualization of key performance indicators
Prediction & simulation: smart alerts and impact simulation (financial, organizational)
Action: decision support to continuously optimize all key parameters of your process
DAT'Process converts raw data into strategic indicators and supports your continuous improvement initiatives on the shop floor
What you will find in the e-book on predictive maintenance
By downloading this guide, you will find:
The main challenges of maintenance in Industry 4.0
How to structure your approach across 5 maturity levels
Concrete case studies from industrial companies that have adopted IIoT
Key steps to integrate DAT’Process and DIMO Maint into your strategy
A powerful synergy: DATIVE + DIMO Maint
At DATIVE, a subsidiary of the Gérard Perrier Industrie Group, we specialize in the acquisition, processing, and leveraging of field data from industrial systems.
DIMO Maint is a CMMS software vendor recognized for helping industrial companies structure and manage their maintenance operations.
This partnership delivers a comprehensive overview, from field level to decision-making, driving synergy between production, maintenance, and quality.
Why download this e-book?
To understand the concrete contributions of IIoT to industrial maintenance
To identify where to start or how to scale your current setup
To obtain practical advice, real-world examples, and a free self-assessment tool
To initiate a predictive maintenance approach aligned with your performance objectives
Download the e-book now to develop your maintenance strategy into a lever for competitiveness.
