Industrial Maintenance and IIoT: Turning Field Data into a Performance Driver with DAT’Process and DIMO MAINT

Industrial Maintenance and IIoT: Turning Field Data into a Performance Driver with DAT’Process and DIMO MAINT

September 8, 2025IoT4 minutes
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In a rapidly changing industrial context, availability, performance, and cost control have never been more critical. To address these challenges, one strategy stands out: shifting from corrective to predictive maintenance by leveraging real-world field data.

With this in mind, DATIVE, in partnership with DIMO Maint, has created an exclusive e-book: “Industrial Maintenance & IIoT: Optimize, Anticipate, Transform.” Download your free e-book here

Why Rethink Your Industrial Maintenance Strategy?

Too often, industrial maintenance is approached from a corrective angle: intervention only happens once a breakdown occurs. This approach leads to:

  • Costly unplanned downtime
  • Increased pressure on maintenance teams
  • Difficulty in capitalizing on feedback and experience

The solution? Shifting to intelligent, data-driven maintenance.

IIoT Serving Predictive Maintenance

At DATIVE, we help manufacturers unlock the value of their field data to sustainably improve the performance, quality, and energy efficiency of their sites.

The Industrial Internet of Things (IIoT) connects production equipment to deliver real-time key data (temperature, pressure, vibration, operating time, etc.). But without the right analysis tools, this data remains underused.

This is where DAT’Process comes in.

DAT’Process: Hypervision to Drive Your Industrial Processes

Developed by DATIVE, DAT’Process is a software solution that connects, centralizes, analyzes, and leverages both production and maintenance data. The goal? To implement a pragmatic predictive maintenance strategy that integrates with your existing tools (CMMS, ERP, MES…).

Key Features of DAT’Process:

  • Connection: selecting and integrating the right sensors based on your objectives
  • Collection & identification: detailed traceability of each data point, equipment, and interconnection
  • Analysis: customizable dashboards and real-time performance indicators
  • Prediction & simulation: smart alerts and impact simulations (financial, organizational)
  • Action: decision support to continuously optimize all key process parameters

DAT’Process turns raw data into strategic insights, supporting a mindset of continuous improvement in the field.

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What You’ll Find in the Predictive Maintenance E-Book

By downloading this guide, you will discover:

  • The key challenges of maintenance in Industry 4.0
  • How to structure your approach across 5 levels of maturity
  • Real-world feedback from manufacturers who have adopted IIoT
  • The key steps to integrate DAT’Process and DIMO Maint into your strategy

A Winning Duo: DATIVE + DIMO Maint

  • At DATIVE, a subsidiary of Gérard Perrier Industrie, we specialize in acquiring, processing, and leveraging field data from industrial systems.
  • DIMO Maint is a recognized CMMS software provider, helping manufacturers structure and manage their maintenance operations.

This partnership offers a complete vision, from field data to decision-making, fostering synergy between production, maintenance, and quality.

Why Download This E-Book?

  • To understand the concrete benefits of IIoT for industrial maintenance
  • To know where to start—or how to take the next step
  • To access practical tips, real examples, and a free self-assessment tool
  • To initiate a predictive maintenance approach aligned with your performance objectives

Download the e-book now and turn your maintenance into a competitive advantage.

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