Area 3

Business & data

The industrial engineering part of my education is not mere decoration. It is the reason why proposals from this office are legally sound and make economic sense. Where data-based analyses are useful, I use them.

Strategic & operational

Industrial engineering consulting

Industrial engineering consulting is not PowerPoint acrobatics. It combines technical understanding with business sobriety. And it makes sure that investments, organisational decisions and efficiency programmes add up in the end.

What you get

  • Economic feasibility assessments for technical investments
  • Make-or-buy analyses and outsourcing assessments
  • Process mapping and weak-point analysis (value stream, bottlenecks)
  • Setting up KPI systems for production and service businesses
  • Second opinions on recommendations from external consultants
  • Facilitation of technical and economic decision-making processes
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Data-driven

Programming & data science

What can be measured can be managed. Many businesses produce data every single day. And do not use it. I build tailor-made data analyses, dashboards and automation for exactly those processes where Excel reaches its limits.

What you get

  • Data analyses with Python and R (Pandas, scikit-learn, Tidyverse)
  • Automated reports and dashboards (e.g. Quarto, Plotly, Observable)
  • Data pipelines that bring together different business data sources
  • Automation of recurring office processes (Python, Make, n8n)
  • Custom web applications for specific business requirements
  • Integration into existing IT and cloud environments
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These services are aimed at …

  • Medium-sized businesses with operational data that could be put to better use
  • Decision-makers who need clarity on economic viability before a technical investment
  • Companies that want to automate recurring processes (office, reporting)
  • Existing clients who want their occupational safety data evaluated with data analysis

Frequently asked questions

What volumes of data are actually worth analysing?
Data science does not necessarily require big data. Just a few thousand data points from production, maintenance or sales are enough to reveal patterns, anomalies or trends. What matters is not the volume of data, but its quality and how closely the question relates to your business.
We already have Excel. Why would I need data science?
Excel is an excellent tool for small data sets and manual evaluations. It reaches its limits as soon as data from several sources come together, calculations are repeated regularly or time series spanning several years need to be analysed. That is when automated pipelines and specialised tools (Python, R, dashboards) save time and deliver more robust results.
Can I outsource individual processes, or do I need a complete consulting package?
Both are possible. For many businesses, the collaboration begins with a clearly defined single assignment, such as an economic feasibility calculation or a dashboard for a specific question. This can develop into an ongoing collaboration, but it does not have to.
Is consulting billed by the hour or at a flat rate?
For clearly defined services, e.g. a data analysis with a defined scope, I work with flat fees. For open-ended tasks, such as ongoing consulting or experimental prototypes, I bill by the hour and report transparently on progress. We set out the ground rules in writing before we start.

Is there a specific reason you're here? Or do you simply want to know where you stand?

The first call is free and without obligation: 30 minutes by phone or video. I will get back to you within one working day.

+43 677 6343 7472 office@lemcon.tech
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