Data meets Product
Data creates Insights
Data adds Value

Up to 73% of company data is not analyzed and used to create insights and add value to the bottom line. Creation of a central and uniform database is an essential foundation to get the potential out of your data. This can be in the form of better user experience and increased efficiency or quality, all resulting in higher revenues.

FELD M helps to solve data-related challenges by designing and building end-to-end advanced analytical solutions, including infrastructure and visualisations, based on a deep understanding of clients’ businesses and needs.

We create data products or applications whose central value proposition is based on data. The primary objective is to facilitate a clearly defined end goal or business problem by using product methods and approaches in combination with different disciplines like Data Engineering, Business Intelligence, UX and Data Science.

Data meets Product

Data products aim facilitating clearly defined business problems and actual user needs. Our first steps of designing a successful data product are:
  • Shared and detailed understanding of the problems
  • Translation of the problems into actionable product requirements
The key feature of a data product is that its central value proposition originates in the use of data. Our approach:
  • Combination of the three disciplines Data Engineering, Data Science and Business Intelligence
  • Product-oriented iterative approach
  • Early delivery of prototypes and fast learning loops
Data products are dedicated applications that can come in many forms. The result can be:
  • Data as a service: Data prepared & delivered as an input for another service
  • Data enhanced products: Data prepared & delivered as component of another product
  • Data as insights: Data prepared & delivered as basis for analyses and decision-making
A successful data product delivers added value in a monetary sense (revenue, optimized budget), in the form of an improved user experience or increased efficiency.


Your customized data product is designed to add value towards your specific business goal. FELD M is your partner to assist you in achieving it.

Our Focus Competencies

Data Engineering
  • Data Architecture consulting and implementation
  • Development of data pipelines (ETL/ELT)
  • DevOps
  • Cloud Solutions in AWS, Azure and GCP
  • Real-time event processing
  • SCRUM / Agile Software Development
Data Science
  • Data Science consulting
  • Data/Design Thinking Workshops
  • AI Literacy Workshops
  • Development of AI and Machine Learning models for Forecasting, Anomaly Detection, Natural Language Processing, Customer Journey Prediction and Churn, Recommenders and Pricing
  • Data Science for Social Good
  • AI product discovery and Design Sprints
Business Intelligence
  • BI Consulting and Data Analytics
  • Data Visualisation and Data Insights
  • Requirements Engineering
  • Tool stack consulting and tool setup
  • Data model concept and implementation
  • Dashboard design and development

Client Feedback

The FELD M team was an excellent collaborator whose willingness to go the extra mile was much appreciated. They integrated into our team seamlessly and have strong technical skills. We would work with them again definitely.
Team Lead Data Engineering and Analytics at Freeletics
With FELD M we have been able to expand the services for our manufacturers within a very short time. A great team – working together was a lot of fun! We have already received a lot of positive feedback from our clients about the new dashboard.
Head of Analytics at Plan.One
FELD M did an amazing job and supported us with valuable project management, data science and insights. If you search for a reliable partner with deep knowledge then consider FELD M.
Head of Marketing at bexio

How we work in the Data Product Team

System agility

  • Focus on most relevant business problems & user needs
  • Learn from data usage
  • Adapt, reprioritize and develop business requirements

Product agility

  • Fast prototyping
  • Creating MVP’s
  • Iteratively improving data products
  • Iteratively delivering value

Create data products based on clear business problems

Gain insights through the use of data products and derive new requirements

UNDERSTAND business problems

BUILD data products


  • Interviews
  • Data Thinking Workshops
  • Use Case Workshops
  • Product Canvas
  • Wardley Map

Build prototypes

Learn & Improve

Next best product

Define complexity

Choose agile method

Tools we work with
  • Python
  • Tableau
  • Apache Spark
  • Dash
  • dbt
  • Amazon Web Services (AWS)
  • Plotly
  • R
  • Google Cloud Platform
  • Microsoft Azure
  • PostgreSQL
  • Amazon Redshift (AWS)
Customers that trust us
  • Zurich Insurance
  • yfood
  • PlanOne
  • funk
  • majorel
  • AUDI
  • Britax Roemer

Our Projects