Sebastian Hewing 🚀's Linkedin Analytics

I used to design extremely complex data infrastructures. Now I do the exact opposite. When building data infrastructure, simplicity is king! 👑 This is true for high-growth startups AND large companies! Here’s the exact approach for every new data infrastructure I build: First, I talk to all stakeholders intensively. ↳ understand their use cases ↳ understand their challenges, struggles and desires ↳ understand how they are tackling these challenges today This is typically about 25% of the WHOLE infrastructure project! Second, I create a KPI/Dimension Map. This is a cross-tab that captures all stakeholder challenges and use cases in an easy-to-read format. Third, I evaluate a status quo for each KPI/Dimension combination (use case) ↳ where does the data come from? ↳ what is the data quality? ↳ are there manual processes involved in capturing the data? Lastly, together with stakeholders, we define a data infrastructure MVP (minimum viable product). The goal is to FULLY cover the first use cases in less than 4 weeks. A lot of data people get the definition of a “data MVP” wrong. A solution solving 10 use cases 50% is not an MVP. A solution solving 1 use case 80% is. I created a masterclass to teach future data leaders how they can use my blueprint to build data infrastructures that create massive business impact. Check it out here - launching soon: https://lnkd.in/gmgCEQEE