Why analysts need to become product operators
Dashboards remain useful, but the most valuable analytics work increasingly starts after a dashboard is delivered.
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BI analytics · data engineering · AI products
Building useful systems from messy data.
I’m Dauren Moldabayev, a BI and data analytics practitioner based in Kazakhstan. I write about analytics systems, practical engineering, AI tools, and the small products I build along the way.
My work sits between business questions and technical systems: turning raw operational data into reporting, automation, and decisions people can actually use.
This site is where I document the process. Some notes are practical and narrow. Others are about the bigger shift from building dashboards to building data products and AI-assisted workflows.
I’m also developing small B2B products under Lief. Prototypes, mistakes, and useful patterns will show up here as they become ready to share.
Recent writing
Notes from client work, experiments, and the transition from analytics delivery to product thinking.
AI will not replace analysts who learn to build systems
The role is changing. The durable advantage is not writing a single query faster; it is designing reliable workflows around data and decisions.
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BI Analytics Guide
A structured path from raw data to business decisions. This will gradually become the foundation for a practical course.
Small prototypes, real lessons.
Public experiments and product notes live in one place. The full commercial portfolio remains on lief.dev.