Success Story | Data Engineering & BI
Grunt Style automated reporting to 100% accuracy for 12 straight months
Bring 20+ commerce, marketing and ERP sources into one warehouse.
Transform raw data through a tested five-layer BigQuery model.
Deliver automated reports, customer insights and self-serve answers.
Annual ETL licensing, down from $24K
Reporting accuracy, up from approximately 65%
Reports and dashboards, up from one manual report
Faster data processing with optimized dbt models
A fast-growing brand that outgrew its data stack
Grunt Style is a veteran-owned apparel brand selling through Shopify, Amazon and a growing retail footprint. Its growth had outpaced the systems beneath it, leaving teams with data they could access but could not consistently trust.
Rudder Analytics rebuilt the platform around open-source ingestion, a governed BigQuery warehouse and automated reporting. The engagement replaced expensive tools, standardized business logic and gave teams a shared source of truth.
The result was a lower-cost foundation that supports reliable reporting, customer intelligence and self-service analysis without routing every question through an engineer.
Critical decisions were built on disconnected numbers
Manual reporting, conflicting marketing attribution and a costly warehouse made everyday analysis slower and less dependable.
A manual daily ritual
An analyst rebuilt the daily sales report by hand, and the result was estimated to be 30–35% inaccurate.
Attribution teams could not trust
Triple Whale overstated Facebook revenue by roughly 90%, weakening the numbers used to steer ad spend.
An expensive, brittle stack
A $24K annual Rivery license fed Snowflake while duplicate tables consumed unnecessary storage.
No golden customer record
Duplicate profiles and limited segmentation prevented a consistent view of customers and lifetime value.
Forecasts refreshed too slowly
Four fragmented forecast sheets were updated monthly and required substantial manual reconciliation.
Every answer needed SQL
Business users depended on technical resources because metrics, definitions and documentation were not centralized.
One governed pipeline from source to decision
More than 20 source systems now flow through automated ingestion and transformation into BigQuery, then out to dashboards, scheduled reports and natural-language analysis.
20+ Data Sources
Fulfil ERP, Shopify, Amazon, Meta, TikTok, Google, Klaviyo, GA4 and other business platforms.
Five-Layer Warehouse
Airbyte, custom Python, Airflow and dbt create tested Raw, Bronze, Silver, Gold and BI layers.
Trusted Decisions
Power BI, Sheets, scheduled email reporting and an AI SQL agent serve every team.
Open-source ingestion
Rivery and Snowflake were replaced with Airbyte and BigQuery, orchestrated through Airflow and dbt.
Platform-direct accuracy
Direct pipelines from advertising and lifecycle platforms replaced inconsistent third-party attribution.
Manual work removed
Forecast sheets and the hand-built daily report became scheduled, validated data products.
A 35+ report hub
MIS, Sales, Marketing, Operations, Finance, Product and Customer reporting now use common definitions.
Golden records and CLTV
Deterministic and fuzzy matching removed duplicate profiles and enabled RFM segmentation.
Natural-language analysis
A multi-agent SQL workflow generates, validates, runs and visualizes queries over the governed data.
A trusted foundation with measurable returns
Finance achieved twelve consecutive months of accurate reporting, while teams gained faster access to a broader set of decision-ready metrics.
Grunt Style reduced annual ETL licensing from $24,000 to $0, reached 100% reporting accuracy, and expanded from one manual report to 35+ automated reports and dashboards.
| Metric | Before | After | Impact |
|---|---|---|---|
| Annual ETL licensing | $24,000 | $0 | −100% |
| Reporting accuracy | ~65% | 100% | +35 pts |
| Reports and dashboards | 1 manual | 35+ | 35× more |
| Data processing time | Baseline | 60% faster | −60% |
| Forecast refresh cadence | Monthly | Daily | ~30× more often |
| Duplicate customer records | ~7% | 0% | Eliminated |
| Marketing data variance | ~38% | ~0% | −38 pts |
For the first time, marketing, finance and operations are all looking at the same numbers—and those numbers are right.
Grunt Style Leadership · United States
Data and AI for brands outgrowing their stack
Rudder Analytics builds that platform—from the first pipeline to reporting a board can act on.
