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Automation & data

Tools engineered around real work

Reduce manual steps in acquisition, conversion, analysis and report preparation, with data checks and repeatable results.

Platforms and tools follow your context. Some examples:

C++ / Qt / QML / Python / .NET / REST API / SQL

Software

Automation & data

Repeatable procedures for real data and tools

  • Data acquisition

    Files · instruments · devicesAvailable data sources

  • Data preparation

    Cleaning · conversion · checksFormats and quality

  • Procedures & scripts

    Python · CLIs · existing toolsFewer manual steps

  • Analysis & reports

    Calculations · charts · exportsReadable results

  • Process integration

    APIs · folders · business systemsFit with the workflow

  • Checks & repeatability

    Logs · errors · comparisonsRun verification

The technologies shown are examples.

Engineering support within your team, with shared tools and working methods.

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TECHNICAL SCOPE

Automated data acquisition, procedures and reporting

A complete procedure, including exceptional cases, is examined to identify steps worth automating. Each transformation preserves the origin, units and version of the data. Clear diagnostics are provided when a file is missing, a device does not respond or a value is out of range.

Activities and verification

  • Import files and measurements, normalise formats and check completeness.
  • Scripts and applications for repeated tests, batch processing and instrument interaction.
  • Export tables, charts and reports with references to their source data.

Initial decisions and integration

Before automation, I reconstruct inputs, transformations and decisions currently handled by an operator. I can add scripts or tools to client processes, retaining necessary formats and applications and defining exception handling, reruns and partial results.

A verification example

A batch procedure is checked with valid data, incomplete files, out-of-range values and an interrupted run. Outputs and checks are compared with the reference process. Reruns need defined behaviour for results already produced.

Deliverables and acceptance criteria

Automated procedure, configuration, examples and comparison with the original workflow. Acceptance checks results, exception handling and process repeatability.

Where to start

Provide anonymised real inputs and outputs, task frequency and checks currently performed by the operator.

Can we automate only part of the work?

Yes. A focused step can be the first engagement, retaining operator control over decisions and cases requiring judgement.

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Insights

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THE NEXT STEP

A system ready
for its next step?

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