Welcome to data.KISS, a blog where we take data-driven topics and break them down so they’re practical, digestible, and clearly tied to business value. In the spirit of “Keep It Simple, Stupid,” we focus on concrete use cases and straightforward solutions rather than buzzwords and complexity.

I’m a data architect and business analyst in the insurance sector, as well as a lecturer at DHBW. My goal is to help you understand how to turn raw data into real insights—ones that truly support decision-making and drive impactful results. If you’re looking for hands-on examples, proven methodologies, and a no-nonsense approach to data analytics, you’re in the right place.

This website is my blog and contains my own opinion.

 

Key Messages

  • Bridge Between IT and Business
    I connect technical solutions and business goals, turning complex ideas into clear, actionable strategies.
  • Methodological Expertise
    I apply structured, data-driven methods to tackle challenges and deliver transparent, predictable outcomes.
  • Theory and Practice
    I combine academic research with real-world application—both in my professional work and as a lecturer at DHBW—to ensure ideas don’t stay theoretical but create measurable impact.

My Values

  • Passion
    I’m driven by a genuine love for technology and problem-solving, which keeps me motivated and inspires those around me.

  • Expertise
    I rely on a solid background in data architecture and business analysis to provide reliable, scalable solutions.

  • Complexity Reduction
    I simplify systems and processes by asking what can be standardized, automated, or removed—so teams can focus on what truly matters.

  • Critical Thinking
    I question assumptions, evaluate options, and approach problems with curiosity, always aiming for the best possible outcome.

  • Analytical Approach
    I let data guide my decisions, using logical frameworks that build trust and clarity among stakeholders.

  • Focus (JOMO: Joy of Missing Out)
    I guard my time and energy by saying “no” to noise. Staying focused helps me dive deeper into high-value tasks and avoid unnecessary burnout.

  • Lifelong Learning (Learn and Unlearn)
    I continuously update my knowledge, staying open to new trends—and unlearning old habits when they no longer serve a purpose.

  • Knowledge & Experience Sharing
    I believe in open collaboration and sharing expertise to spark collective growth and innovation.

I hope this framework sparks ideas for your own data.KISS journey. Whether you’re tuning in for technical tips, business insights, or just a fresh take on making sense of data, I’m glad you’re here. Let’s keep it simple—and effective—together.