Too many businesses try to build complex predictive AI models before their basic data pipelines are even functioning. You cannot skip the fundamentals.

​The Data Hierarchy of Needs for scaling SMBs: ​Level 1: Stable Collection (SQL) — Your database health and data pipelines. If your raw data is broken, everything built on top of it will fail. ​Level 2: Data Governance (Python) — Enforcing uniform definitions, cleaning messy data, and ensuring total integrity. ​Level 3: Automated BI (Power BI) — Moving away from manual spreadsheets to automated executive views and daily KPI tracking. ​Level 4: Predictive Insights (AI / ML) — Churn models and forecasting. This only generates ROI if levels 1 through 3 are rock solid.

​Stop wasting time on manual data entry and broken reports. If you are stuck at Level 1 or 2, I can help you scale up. Check out my Contra services to get your SQL pipelines automated and your Power BI dashboards built right the first time.

Amazing Information

Energy platforms often deal with a lot of data.

The challenge is deciding what deserves attention first.

For this sustainable energy dashboard concept, we designed the interface around that question creating a structured experience for monitoring energy production, consumption, efficiency and sustainability performance.

The dashboard combines high-level metrics with data visualizations that help users identify changes and patterns without making the interface feel overwhelming.

The visual direction is clean and technical, but the UX remains approachable.

Services: Dashboard Design · UI/UX Design · Data Visualization · Product Design · Energy Tech UX

The goal was to turn complex energy information into a dashboard that feels clear, useful and easy to navigate.

Designed by WaxyWeb.

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