Success Story | Data Engineering
Posh Peanut consolidated its stack and halved reporting cost
Faster from raw data to finished report
Lower analytics and reporting cost
Data sources unified in one warehouse
Governed source of truth for every team
One Version of the Numbers
Posh Peanut sells children’s clothing, matching family apparel, and accessories worldwide, across a network of physical and virtual locations.
All 7 functions needed the same numbers: Finance, Marketing, Sales, Inventory, Operations, Distribution, and Merchandising. Each consumed them differently—through Tableau, scheduled exports, or maintained Google Sheets.
Rudder Analytics built the data foundation. An automated ETL/ELT framework feeds a secure BigQuery warehouse, dimensional models make queries fast, and blended dashboards serve every team from one governed layer.
Precision Across Every Function
The business needed accuracy across supply chain, commerce, and finance, delivered to 7 departments. Each worked in its own tools, and the numbers needed one shared definition.
Supply-Chain Blind Spots
Cycle counts, bin transfers, inventory movements, and Accounts Payable and Accounts Receivable transactions had no reliable reporting behind them.
Distributed Inventory
Sales orders, purchase orders, and customer and supplier shipments spanned a global network of physical and virtual locations.
A Fragmented Marketplace View
Listings, sales, and revenue sat across many marketplaces and point-of-sale channels, with no consolidated report.
7 Teams, One Truth
Each of the 7 teams needed reporting built for its own decisions—from the same underlying numbers.
3 Ways to Consume Data
Stakeholders needed Tableau views, scheduled and on-demand exports, and maintained Google Sheets, all reconciled to one source.
Sources Out of Sync
Operational, commerce, advertising, and analytics data arrived in different shapes and cadences, so figures rarely lined up.
One Governed Warehouse
An automated ETL/ELT framework on Talend Enterprise feeds a secure BigQuery warehouse. Dimensional models make reporting fast, and blended dashboards reach each team in the tool it already uses.
17+ Systems
Fulfil ERP, Shopify and commerce apps, Meta, Google, Amazon and TikTok ads, plus GA4 and Segment analytics.
BigQuery Warehouse
Talend ETL/ELT pipelines, volume-aware load strategies, dimensional modeling, and Dataform SQLX with managed history.
Every Team
Tableau executive dashboards, automated Google Sheets, and scheduled or on-demand exports from one reconciled layer.
Automated ETL/ELT Framework
A production-grade Talend Enterprise architecture ingests ERP, commerce, advertising, and analytics sources through automated API pipelines.
Load Strategy by Volume
Batch loads, parallel multi-thread execution, daily snapshots, and incremental loads keep the warehouse current at controlled cost.
Warehouse on GCP VPC
ETL runs on Google Cloud Compute inside a controlled VPC, while BigQuery handles structured and unstructured data at scale.
Fast, Accurate Queries
A hybrid dimensional schema, Dataform SQLX transformations, partitioning, and managed Slowly Changing Dimensions preserve performance and history.
Complete Data Capture
Python web-automation extraction covers sources without APIs, so commerce and marketing data do not go uncaptured.
A View for Every Team
Automated Sheets and Tableau dashboards blend inventory, sales, revenue, marketing, and demand-planning insight for every function.
Faster, Cheaper, Consistent
Unifying every source in a governed BigQuery warehouse lifted data quality and consistency. Raw-data-to-report time fell 45%, and analytics and reporting spend dropped 60%.
Posh Peanut moved 17+ fragmented sources into one governed warehouse, made reporting 45% faster, and reduced analytics and reporting cost by 60%.
| Metric | Before | After | Impact |
|---|---|---|---|
| Raw-data-to-report time | Manual assembly | 45% faster | −45% |
| Analytics & reporting cost | Baseline | 60% lower | −60% |
| Data sources | Fragmented, siloed | 17+ unified | One warehouse |
| Reporting effort | Heavy manual work | Automated pipelines | Much reduced |
| Inventory decisions | Limited visibility | Actionable supply-chain insight | Optimized levels |
| Distribution-center operations | Manual, time-intensive | Automated reporting | Faster turnaround |
Posh Peanut now runs on one governed source of truth. Supply chain, commerce, and finance reporting reconcile automatically, and each department gets it in the format it works in.
Engagement summary · Rudder Analytics
One Governed Source of Truth for Every Team
Rudder Analytics unifies fragmented commerce and operational data into reporting every function can trust.
