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Industrial Data Engineering

At Consat, data engineering means building the pipelines, storage and transformation layers that make data usable. We turn raw telemetry from devices and systems into actionable insights, perfectly bridging the gap between data generation and value.

While many vendors approach data from a purely transactional business perspective, we build data infrastructure designed for industrial scale. We specialise in handling high-volume, high-frequency data from connected assets, creating a solid foundation through enterprise data architecture.

We engineer pipelines directly at the source, completely eliminating translation gaps. Our proven track record in manufacturing data modelling is something few engineering firms can match.

Contact us

Case

IoT & Connectivity, Embedded engineering, Full-stack software development, Advisory | Mobility

IoT & Connectivity, Embedded engineering, Full-stack software development, Advisory | Mobility

Ebersprächer – ​Digitalisation of bus climate systems improved performance, cut costs and enabled smarter operations.

IoT & Connectivity, Full-stack software development

IoT & Connectivity, Full-stack software development

Combain – Global expansion with local presence, Combain scales up advanced software development with Consat India

Digital Solutions, Mobility

Digital Solutions, Mobility

Consat CMS – ​Cloud-based CMS optimised EV charging infrastructure service, improving uptime, availability and efficiency

Our service areas

We offer end-to-end capabilities in industrial data engineering, enabling large-scale industrial data modelling and ensuring that your operational environments are fully integrated:

Data pipeline design and implementation: Designing both batch and streaming pipelines tailored to high-frequency machine data.

ETL/ELT processes: Connecting operational systems seamlessly to advanced analytics environments.

Data warehouse and data lake architecture: Creating structured, highly scalable storage solutions for diverse data types.

Real-time data processing: Building processing layers optimised for operational and industrial use cases.

Data modelling and governance frameworks: Establishing robust frameworks to ensure data quality and reliable reporting.

Integration of enterprise data sources: Unifying IoT, ERP, MES and other enterprise data streams into a single source of truth.

Industrial IoT partners for Nordic and global operations

Data trapped in siloed systems or unstructured formats can stall your digital transformation. We design and deploy enterprise data architecture that explicitly addresses these core bottlenecks:

  • Unifying siloed systems: Breaking down barriers between ERP, MES and IoT platforms to deliver a single, comprehensive operational view.
  • Handling high data volumes: Deploying scalable data pipelines for connected assets to efficiently process and store massive industrial data streams.
  • Eliminating data delivery delays: Turning lag into insights so analytics teams no longer wait days for data that should be available in minutes.
  • Ensuring data quality and governance: Eradicating unreliable reporting by embedding strict data quality frameworks from the edge to the cloud.
  • Preparing data for AI and ML: Structuring and cleaning complex operational data so it is mature enough to build advanced machine learning models on.

Consat in numbers

5

Continents where we make a difference

87%

Of our projects are classified as sustainable

600+

Tools delivered to Scania

1986

Innovation since the start

Vinay Dhar Manager Digital Solutions

Contact

Vinay Dhar

CSO, Consat-Orahi and Head of<br>Digital Transformation Business

vinay.dhar@consat.com
+46 72 724 22 64

Ready to learn more about our AI solutions?

Others talk about AI. We’ve already built working tools that deliver value from day one.

With decades of collaboration alongside our customers, we’ve built one of the most advanced systems on the market. Designed with Swedish innovation, our modular solutions are tailored to meet your specific needs.

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