Understand the question
Which question needs to be answered, what data is available and what value should the solution create?
Develop the solution
The appropriate data solution is implemented, for example as an analysis, dashboard, data model, automation or tool.
Define the project objective
The objective, scope, data sources and form of delivery are clearly defined. Depending on size, implementation is divided into one or more work packages so that each result can be planned and delivered deliberately.
Deliver the result
The solution is documented transparently and delivered so that it can be used in day-to-day work.
Data solutions.
Clearly scoped.
Fixed price.
Good data solutions begin with clear questions. The first step is to establish which question needs to be answered, which data is relevant and what objective should be achieved.
This becomes a structured solution that is implemented transparently and designed for its future use in the organisation.
The final result is documented and ready for day-to-day use.
Work packages instead of large data projects
Many data projects lose momentum because coordination, project structures and overhead become larger than the question itself.
The Heisel Analytics approach is deliberately lean: specific questions are translated into clearly scoped work packages that end with a usable result.
Direct collaboration, short decision paths and focused implementation keep the effort where it creates the most value: understanding the business context, delivering the technical solution and making it usable in the organisation. A particular strength is quickly understanding new subjects and turning their relationships into pragmatic data solutions.
Recent projects
All projects
WEB APP
SailPlot - Digital tactics board for sailboat racing
SailPlot is a browser-based tactics board for sailboat racing. Courses, starting lines, boats and tactical scenarios can be created, adjusted, shared and used for coaching, analysis or briefings.
OPEN SOURCE
HetznerWatch - Automatically monitor Hetzner server availability
HetznerWatch is a lightweight open-source tool that automatically monitors the availability of Hetzner Cloud servers and can send an ntfy notification whenever availability changes.
DATA TOOL
Compare - Compare text and source code directly in the browser
Compare is a browser-based application for comparing text, source code and configuration files. Added, removed and unchanged sections are identified automatically and presented clearly.
PROJECT SUPPORT
Documentation - Keeping projects usable for the long term
Every delivered project includes complete, understandable and durable documentation for both business users and technical teams.
About me
I am Oliver Heisel, founder of Heisel Analytics. My background combines business understanding with data science, data engineering and the development of practical data solutions.
I have worked with data since 2019. I began with traditional analyses, Excel models and business questions. Over time this developed into projects involving Python, SQL, data preparation and pipelines, as well as sophisticated dashboards and KPI systems in an operational airline environment.
What interests me most about data projects is the combination of domain understanding, analytical thinking and technical development. I quickly familiarise myself with new subjects, structure complex data and build solutions that do more than work technically; they are practical for the organisation using them.
With Heisel Analytics I follow a deliberately focused approach. Many organisations do not need a large data programme immediately; they need fast, clearly scoped solutions to specific questions. That is where I help through direct collaboration, clear work packages and transparently documented results.
Outside conventional data projects, I also work extensively with 3D printing, electronics and open-source applications. As a competitive sailor and youth coach, I care about explaining complex relationships clearly and making solutions practical.