Services

Specific services

  • Assess and improve data quality
  • Clean and structure data meaningfully
  • Combine different data sources
  • Analysis patterns and anomalies
  • Answer specific business questions with data
  • Prepare data for further applications

Specific services

  • Develop dashboards and reports
  • Define and structure relevant KPIs
  • Build data models for reporting
  • Visualise KPIs clearly
  • Automate recurring analyses
  • Develop forecasts from historical data
  • Analysis trends, demand and capacity
  • Document data sources and calculation logic

Specific services

  • Automate manual Excel and reporting processes
  • Build data pipelines
  • Connect files, databases, APIs and systems
  • Collect suitable web data automatically
  • Transform and validate data
  • Reduce manual intermediate steps
  • Document data flows transparently

Specific services

  • Develop calculation, input and analysis tools
  • Turn a manual or Excel-based workflow into a web application
  • Build decision-support tools for specific questions
  • Set up access for employees or customers
  • Develop an understandable user interface
  • Document operation and usage clearly

Clear steps.
Clear outcomes.

A clear process, short lines of communication and dependable outcomes.

A free data check or a personal initial consultation provides an easy starting point. You decide whether to describe your situation online first or discuss it directly.

Where appropriate, the initial assessment becomes a clearly scoped work package with a defined objective, transparent scope and fixed price. Delivery remains predictable and focused on a usable result from the outset.

Larger initiatives can also be delivered by structuring them into several clearly scoped work packages and implementing them step by step.

Start your free data check
  1. Free data check or initial consultation

    Choose the easiest way to begin: describe your situation online or discuss it directly in a personal consultation. No data or technical knowledge is required.

  2. Assessment & objective

    Receive an initial assessment by email or discuss the possibilities in a short meeting. Your question, available data and intended outcome are brought together as a clear project objective.

  3. Proposal

    The initial assessment is used to define a clear work package. Within 48 hours you receive a binding proposal covering scope, price and timeframe.

  4. Approval & provision

    Once you approve the proposal, you provide the required data, access and any additional resources. This creates the basis for a smooth and timely start.

  5. Implementation & delivery

    Implementation follows the defined work package and agreed timeframe. You receive a directly usable solution, such as an analysis, dashboard or tool. Up to two revision rounds within scope are included, followed by final delivery with documentation.

Stable and reliable.

Technology follows the task, not the other way around.

The technology is selected to suit your question, available data and existing systems. What matters is a stable solution that works reliably in day-to-day use.

From databases and interfaces to analysis, reporting and infrastructure, each tool is chosen for the task. Clear documentation and versioning keep dependencies transparent and future maintenance manageable.

Dashboards & reporting

  • Grafana
  • Power BI
  • Tableau
  • Qlik
  • Dash
  • Excel
  • ...

Databases & data formats

  • PostgreSQL
  • MySQL
  • Microsoft SQL Server
  • SQLite
  • MongoDB
  • InfluxDB
  • JSON
  • GeoJSON
  • Parquet
  • ...

Automation & integration

  • GitHub
  • GitHub Actions
  • GitHub Pages
  • Playwright
  • REST APIs
  • OpenStreetMap
  • Overpass API
  • ntfy
  • Paddle
  • ...

Analysis & programming

  • Python
  • R
  • SQL
  • pandas
  • pyarrow
  • Node.js
  • ...

Cloud & infrastructure

  • Azure
  • AWS
  • Hetzner Cloud
  • Docker
  • Docker Compose
  • Linux
  • Proxmox
  • Cloudflare
  • Cloudflare Tunnel
  • Nginx
  • Self-Hosted
  • ...

Web applications

  • React
  • TypeScript
  • JavaScript
  • HTML
  • CSS
  • Leaflet
  • Web Workers
  • ...
Data security symbol

Responsible handling of your data.

Secure exchange, protected processing and clear deletion rules.

Data security symbol

Responsible handling of your data is a central part of the collaboration. Project information is processed securely, for its intended purpose and transparently. A secure, self-hosted and managed portal is available for exchanging data.

Processing takes place in a secured working environment with protected networks, servers and devices. Your data is used only for the relevant project and does not come into contact with AI systems. Data provided for the project is deleted in full after completion and is not retained.

Data solutions
Clearly scoped
Fixed price

Data projects can quickly become complex and difficult to estimate. Heisel Analytics therefore turns specific questions into clearly scoped work packages that end with a usable result.

Before the project begins, the objective, scope, data sources, form of delivery, cost and timeframe are agreed. You know from the outset what will be implemented, which results you will receive and what the fixed price covers.

The agreed scope includes technical implementation, delivery of the results, up to two revision rounds within scope and transparent documentation. The result is a focused data solution that is handed over properly and can be used directly in day-to-day work.

Further questions?

Answers about the process, data, effort and handover.

Which organisations and questions are the services suitable for?

The services are aimed at organisations, self-employed professionals and teams that want to use data more effectively, simplify processes or improve existing analyses. This may involve dashboards, data preparation, automation, data quality, reporting or a specific analytical question. The key factor is not company size, but whether data plays a role in day-to-day work and should be made more useful.

What if my data problem does not fit one of the services exactly?

Many data problems do not fit neatly into a predefined category. Every project is therefore assessed individually. Even if your question does not match an existing service exactly, the available options and the most suitable approach can still be explored.

What tangible value can a data project deliver?

A good data project creates transparency, reduces manual work and supports better decisions. KPIs may become available sooner, errors may be reduced, reports may run automatically or previously hidden relationships may become visible. The aim is always a solution that is genuinely useful in day-to-day work.

How much input is required from my organisation?

The effort depends on scope and the available data. Information about data sources, existing processes and objectives is usually needed at the beginning. After that, your involvement is kept as focused as possible, with targeted check-ins that support efficient delivery without drawing you into unnecessary technical detail.

Can existing Excel files, reports or manual processes be automated?

Yes. Existing Excel files, recurring reports and manual steps can be analysed, improved and automated. The assessment identifies which parts can be simplified, made more robust or replaced with a modern data solution. The goal is a transparent solution that saves time and reduces errors.

Can existing systems, data sources and tools be integrated?

Yes. Existing systems and data sources can be integrated where technically feasible, including files, databases, APIs, cloud systems and reporting solutions. The most appropriate connection is assessed as part of the project.

How is data exchanged securely?

A secure, self-hosted and managed portal is available for exchanging data. Access is provided automatically when the project starts. Two-factor authentication is configured during the first sign-in, with the required steps explained directly in the portal. Project data is processed only for its intended purpose and within the relevant project, in a secured environment with protected networks, servers and devices. Your data does not come into contact with AI systems.

What happens to the data and results after the project?

Data supplied for the project is deleted in full after completion and is not retained. Results, analyses, dashboards and documentation are delivered in accordance with the agreed scope. The focus is on a transparent, stable and practical solution that creates clear workflows and reduces manual effort.

Is every solution documented?

Yes. Every solution is documented transparently for both business users and technical teams. The documentation covers the key data sources, processing steps, KPIs, assumptions and technical relationships, making it clear how the solution works, how results are produced and how it can be used or developed further.

Plan the next step with your data.

Start your free data check