Galthor builds practical business intelligence frameworks, dashboards, data pipelines, and reporting systems designed to make complex business information easier to structure, analyze, and understand.
Sample telemetry shown for illustration only — not live client data
Hover or tap a stage to see what happens to your data at that point in the architecture.
SOURCE — what happens here
Your systems — CRM, billing, ads platforms, spreadsheets, operational databases — are inventoried and mapped so every number has a documented origin.
Artifacts produced
Galthor is a young studio, so these are labelled honestly: conceptual builds and representative frameworks that show how we structure a system, not client case studies.
Power BI reporting structure for sales KPIs: pipeline stages, quota attainment, and margin by segment, with DAX measures documented inline.
Illustrative shape — not client results.
Looker Studio framework for campaign and revenue tracking with pre-configured connector schemas and channel-level attribution fields.
Illustrative shape — not client results.
Star-schema and ETL blueprint for operational reporting: fact and dimension design, load order, incremental strategy, and naming standards.
Illustrative shape — not client results.
Metric dictionary and reporting framework for management dashboards — one definition per metric, with refresh cadence and ownership recorded.
Illustrative shape — not client results.
The same figures, before and after the metric layer. Left: whatever the source system emitted. Right: a defined KPI with grain, filters, and meaning attached.
No physical shipping, no hardware, no physical media. Expand a module to see compatibility, file formats, and starting price.
Client Feedback
Galthor launched recently, so this list is short on purpose. These notes come from early clients and reflect the work as it stands today.
"The metric dictionary alone saved us a week of arguing about which revenue number was correct. Definitions were written plainly and the CSV register dropped straight into our docs."
Operations lead
B2B Services Company
"Clean SQL, sensible naming, and comments that explain why rather than what. We adapted the staging scripts to our Postgres instance in an afternoon."
Data engineer
E-Commerce Retailer
"The Power BI workbook was already structured the way we needed — we swapped the source and the reporting pages worked. Documentation was better than we expected at this price."
Finance analyst
Logistics Firm
Describe the reporting problem in plain language. You'll get a straight answer on whether an existing framework fits or whether it needs a custom build.
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All products are delivered electronically through instant digital download. There is no physical shipping and no physical media.