Data meets Product. Data creates Insights. Data adds Value.

Data product services

Turn unused data into measurable business value. At FELD M, we empower you to develop data products that drive efficiency, enhance decision-making, and elevate customer experiences. Our interdisciplinary, product-focused approach guarantees that your data delivers value every step of the way—from initial concept to full implementation.

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Turn unused data into measurable business value. At FELD M, we empower you to develop data products that drive efficiency, enhance decision-making, and elevate customer experiences. Our interdisciplinary, product-focused approach guarantees that your data delivers value every step of the way—from initial concept to full implementation.

Contact us
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What we offer

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Data product services

Up to 73% of company data is not analyzed and used to create insights and add value to the bottom line. The 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 visualizations, 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.

Contact us

 

Data engineering & architecture

  • 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

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Data science & AI

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Business intelligence & analytics

  • BI consulting and data analytics

  • Data visualization and data insights

  • Requirements engineering

  • Tool stack consulting and tool setup

  • Data model concept and implementation

  • Dashboard design and development

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Data meets product

 

Understand

Understand

Data products aim to facilitate clearly defined business problems and actual user needs. Our first steps in designing a successful data product are:

  • Attain a shared and detailed understanding of the problems

  • Translate the problems into actionable product requirements

Build

Build

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

Deliver

Deliver

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 a component of another product

  • Data as insights: Data prepared & delivered as a basis for analyses and decision-making

Value

Value

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 toward your specific business goal. FELD M is your partner to assist you in achieving it.

Find out more about our approach

How we work in the data product team

Data product - English EN

Case studies

  • Web analytics

    Answering branding questions with A/B testing

  • Datacroft

    Efficient, reliable and user-centric campaign tracking

    Tools we used
    Read case study
  • Data strategy

    Data strategy enables leveraging customer data for public broadcasting

  • Datacroft

    How to translate several tens of thousands MediaMarkt TV spot airings into online traffic impact

  • Privacy & consent

    One consent management process for more than 170 digital entities

  • Conversion rate optimization

    How an insurance company transformed customer experience with Contentsquare's UX optimization

    Tools we used
    Read case study

Tools we work with

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  • Tableau
  • Spark
  • Dbt
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  • Aws
  • Plotly
  • R_logo.svg-232x180
  • Google-Cloud-Platform-GCP-Logo
  • azure
  • PostgreSQL
  • awsRedshift-180x70
  • Python_(programming_language)-Logo.wine
    Tableau
    Spark
  • Dbt
    Dash_logo_2018_rgb_for_screens-180x53
    Aws
  • Plotly
    R_logo.svg-232x180
    Google-Cloud-Platform-GCP-Logo
  • azure
    PostgreSQL
    awsRedshift-180x70

FELD M in numbers

We’re big on numbers – so here are a few of our favorites, to give you an insight into who we are.

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happy clients, including 11 DAX companies

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Net Promoter Score

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client relationships with a duration of more than 5 years

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years in the market

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  • spiegel-test
  • Zurich_Insurance_Group_logo_weiß
  • yfood-white
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  • audi_weiß

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