OIAnalytics for Industry

OIAnalytics is a comprehensive industrial data platform that is transforming the way organizations manage their operations and optimize their industrial performance through data.

A solution recognized by the industry

An all-in-one solution

OIAnalytics centralizes all industrial data in a single platform, regardless of their source: IT, OT, IoT, Cloud, Open Data... This data becomes accessible via a wide range of integrated applications to meet the organization's many challenges and use cases.

OIAnalytics enables companies to accelerate their digital transformation and significantly increase the productivity and efficiency of their teams.

The platform serves many stakeholders in the industrial organization: field operators and technicians, engineers, management, data experts… and covers multiple domains: production, processes, maintenance, operational excellence, SHEQ…

Thus, it enables addressing numerous industrial use cases: productivity, asset availability, traceability, quality, material performance, energy performance, environmental performance…

The real payoff comes from scale. Once the data foundation was in place, every new use case from quality to maintenance delivered faster returns and measurable savings.
_{Industrial Operations Manager,}_{Chemical manufacturing}

For large-scale adoption

Thanks to its no-code approach, OIAnalytics allows all company employees to manipulate and exploit data without the need for advanced technical skills.

The extensive configurability of the platform allows business teams to gain autonomy by creating and modifying their use cases without depending on IT, OT or data teams. This agility results in exceptional deployment speed, where new use cases can be implemented in a few clicks rather than several weeks of development.

This approach democratizes access to industrial data while maintaining a secure and structured framework for their use, allowing for broad and effective adoption within the organization.

The real success was in accessibility. Once people saw how quickly they could turn raw data into dashboards, adoption spread on its own. Now data is part of everyone’s work, not just a specialist’s job.
_{IT manager for industrial production lines,}_{Mines and metals}

Discover OIAnalytics features

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Visualization and reporting

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Data collection

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Data contextualization

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Statistical process control

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OEE and production loss

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Advanced analytics tools

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Shift Logbooks

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Input forms

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Synoptics

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Python model execution

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