If you've ever tried to get your CCC data into a proper analytics environment, you know it's not straightforward. CCC ONE wasn't designed for easy data export, and the documentation is sparse.
But it is possible. Here's how to connect CCC ONE to BigQuery and build analytics that actually scale.
Why BigQuery?
Before diving into the how, let's address why BigQuery specifically:
- Speed: Queries that take 10 minutes in CCC run in 2 seconds in BigQuery
- Scale: Handles billions of rows without breaking a sweat
- Cost: Pay-per-query pricing, typically under $100/month for most MSOs
- Integration: Native connectors to Tableau, Looker, Data Studio
- Serverless: No infrastructure to manage
The CCC ONE API Landscape
CCC offers two main API options:
SOAP API (Reports)
This is the workhorse for extracting report data. You can pull most standard CCC reports programmatically:
- Work in Process
- Sales Journal
- Cycle Time RO Completion
- Vehicles Delivered
- Delivered Not Closed
- Gross Profit
- CSI Detail
- Parts Detail
Quirks to know:
- Certificate-based authentication with username/password
- SOAP/XML responses
- Some reports have date range limitations
- Error messages are cryptic
- Documentation is minimal
Architecture Overview
Here's the pipeline that works:
CCC ONE API → Cloud Functions → BigQuery → Tableau
↓ ↓ ↓ ↓
Your data Parse XML Fast queries DashboardsCloud Functions: Python functions that authenticate with CCC, pull report data, parse the XML response, and load into BigQuery.
Cloud Scheduler: Triggers the functions on a schedule (typically nightly).
BigQuery: Stores the data in tables optimized for analytics.
Tableau: Connects directly to BigQuery for visualization.
Common Pitfalls
After building these integrations for multiple MSOs, here are the gotchas:
1. Date Handling
CCC reports dates inconsistently. Some fields are dates, some are timestamps, some are strings. Always normalize on ingest.
2. RO Number Collisions
Shops can reuse RO numbers. Always include shop_id as part of your primary key.
3. Future-Dated Deliveries
The Vehicles Delivered report can include scheduled deliveries with future dates. Filter appropriately.
4. Incremental vs. Full Refresh
Some reports work best as full refreshes (WIP). Others need incremental logic (Sales Journal).
5. API Timeouts
CCC's API will timeout on large requests. Paginate or chunk by date range.
Cost Expectations
For a typical MSO running 50-100 shops:
| Component | Monthly Cost |
|---|---|
| Cloud Functions | $10-30 |
| BigQuery Storage | $5-20 |
| BigQuery Queries | $20-50 |
| Cloud Scheduler | <$1 |
| Total | $35-100/month |
Build vs. Buy
Building this yourself is doable if you have:
- Python experience
- Familiarity with Google Cloud
- Time to learn CCC's API quirks (weeks, not days)
- Capacity to maintain it ongoing
The alternative is using a platform that's already built this—with CCC integration solved, dashboards designed for collision repair, and maintenance handled for you.