Industrial Maintenance and IIoT: How to Convert Field Data into Operational Performance with DAT’Process and DIMO MAINT
Thomas Peyron
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In a rapidly changing industrial environment, availability, performance, and cost control have never been more critical. To meet these challenges, a strategy is required: transitioning from reactive to predictive maintenance, leveraging concrete field data.
With this in mind, DATIVE, in partnership with DIMO Maint, has designed an exclusive e-book: "Industrial Maintenance & IIoT: optimize, anticipate, transform."
Download our DAT'Process documentation
Why rethink your industrial maintenance strategy?
All too often, industrial maintenance is still approached from a reactive perspective: intervention occurs only after a failure has happened. This operating model generates:
Costly unplanned downtime
Increased pressure on maintenance teams
Difficulty in capitalizing on operational feedback
The solution? Moving towards intelligent maintenance driven by field data.
IIoT supporting predictive maintenance
At DATIVE, we support industrial operators in leveraging field data to sustainably improve the performance, quality, and energy efficiency of their sites.
The Industrial Internet of Things (IIoT) connects production equipment to transmit key data (temperature, pressure, vibration, operating hours, etc.) in real time. However, without the proper analysis tools, this data remains underutilized.
This is where DAT’Process comes in.
DAT’Process: hypervision to control your industrial process
Developed by DATIVE teams, DAT’Process is a software solution designed to connect, centralize, analyze, and leverage production and maintenance data. The objective? 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 appropriate sensors based on your objectives
Collection & identification: precise traceability of each data point, node, equipment, and interconnection
Analysis: customizable dashboards and real-time visualization of performance indicators
Prediction & simulation: intelligent alerts and impact simulation (financial, organizational)
Action: decision-making support to continuously optimize all key process parameters
DAT'Process transforms raw data into strategic indicators and supports your teams in a continuous field-level improvement process
What you will find in this predictive maintenance e-book
By downloading this guide, you will discover:
The primary 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 high-performance partnership: 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 supporting industrial users in structuring and managing their maintenance operations.
This partnership delivers a comprehensive overview, from the 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 initiatives
To access practical advice, real-world examples, and a free self-assessment tool
To initiate a predictive maintenance approach aligned with your performance goals
Download the e-book to integrate these methods into your operational performance strategy.
