We build data warehouses, semantic layers, and analytics products that connect operational data to executive decisions.
Decisions made with data, not vibes.
PANEOTECH builds data warehouses, semantic layers, and analytics products that turn raw data into institutional decision support. The data analytics practice spans data engineering, dimensional modelling, dashboard design, and the governance frameworks that determine whether analytics actually change decisions or just decorate them.
Across the data and analytics stack.
Data engineering
Ingestion pipelines, ELT and ETL flows, change data capture from operational systems, and the engineering that lands data reliably in the warehouse on the cadence the analytics need.
Warehouse design
Dimensional modelling, slowly changing dimensions, fact-table design, and the warehouse architecture that makes analytics fast and trustworthy as data volume grows.
Semantic layers
Business-level definitions of metrics and dimensions, decoupled from the underlying tables, that make every dashboard, every API, and every query speak the same language.
Dashboards and analytics
Operational dashboards, executive scorecards, and the analytics products that institutional teams actually use day to day, designed by people who understand both data and the decision being supported.
Self-serve analytics
Governed self-serve frameworks that let business teams answer their own questions without going around the warehouse, while the warehouse stays the source of truth.
Data governance
Data catalogues, lineage tracking, access controls, and the governance frameworks that make institutional data both useful and accountable.
Analytics fails when nobody trusts the numbers.
The most common failure mode for institutional analytics is not that the dashboards are wrong, it is that they disagree with each other, and the inevitable consequence is that no one trusts any of them. Our practice exists to build the foundational layers that make analytics trustworthy, so the conversation can move past which number is right and onto what to do about it.
