Why CCC ONE Reports Take 10 Minutes (And What To Do About It)

If you've ever pulled a Vehicles Delivered report for more than a few months of data, you know the pain. Click run. Wait. Stare at a spinner. Check your email. Come back. Still spinning.

And if you're brave enough to try all-time data? CCC crashes entirely.

This isn't a bug. It's how CCC ONE was designed—and it becomes a real problem once you're running 20, 50, or 100+ shops.

Why CCC ONE Reports Are Slow

CCC ONE is a transactional system. It was built to write estimates, manage repair orders, and process claims. The reporting layer was added later, and it shows.

When you run a report in CCC ONE, here's what happens:

1. Live database query: CCC hits its production database in real-time
2. No pre-aggregation: Every report recalculates from raw data
3. Single-threaded processing: One query, one user, one wait
4. No caching: Run the same report twice? Same 10-minute wait

This architecture works fine for a single shop pulling this month's numbers. It breaks down when you're an MSO trying to compare 50 locations over 12 months.

The Math Gets Ugly Fast

Let's say you want to compare cycle time across 30 shops for the past year.

Option A: Run it in CCC ONE

• Run report for Shop 1: 8 minutes
• Run report for Shop 2: 8 minutes
• ...repeat 28 more times
• Total: 4 hours of waiting

And that's assuming CCC doesn't crash or timeout halfway through.

Option B: Export and combine manually

• Export each shop's data to Excel
• Manually combine and normalize
• Build your own pivot tables
• Total: Half a day, every time you need updated numbers

Neither option scales. And neither gives you real-time visibility.

What Changes at 20+ Shops

At a single location, CCC's built-in reports are fine. Annoying, but workable.

At 20+ shops, the problems compound:

• No cross-shop comparison: You can't see all locations side-by-side
• No real-time visibility: By the time you run all the reports, the data is stale
• No trend analysis: Comparing month-over-month requires running everything twice
• No alerting: You only find problems when you go looking for them

This is why MSO leadership ends up flying blind between month-end reviews. Not because they don't want visibility—because CCC makes it too painful to get.

The Solution: Move the Data

The fix isn't to make CCC faster. It's to get your data out of CCC and into a system built for analytics.

Here's the architecture that works:

CCC ONE API → Cloud Data Warehouse → Analytics Dashboard
     ↓              ↓                      ↓
  Your data    Pre-aggregated         2-second queries
               and indexed

Step 1: Extract via API

CCC has a SOAP API that can pull most report types programmatically. It's not well-documented and has quirks, but it works. You can automate nightly data pulls for all your shops, all your reports.

Step 2: Load into a data warehouse

Google BigQuery, Snowflake, or similar. These systems are built for analytical queries on large datasets. The same query that takes 10 minutes in CCC takes 2 seconds in BigQuery—because the data is structured for fast reads, not transactional writes.

Step 3: Visualize in Tableau or similar

Build dashboards that load instantly. Filter across all shops. Compare any date range. Drill down on any metric. No waiting.

What This Looks Like in Practice

One of the largest MSOs in the country runs this exact architecture across 100+ shops:

What used to happen	What happens now
Vehicles Delivered (all time): crashes	2 seconds
Vehicles Delivered (1 year): 8-10 min	2 seconds
Compare 2 shops: 20 minutes	2 seconds
Compare 100+ shops: impossible	2 seconds

Same CCC data. Same accuracy. No waiting.

And because the data syncs nightly, leadership checks dashboards daily—something that was impossible when each report took 10 minutes.

The Hidden Benefit: Alerting

Once your data lives in a proper warehouse, you can do something CCC can't: proactive alerting.

Set thresholds. Get notified when:

• WIP ages past 30 days at any shop
• Cycle time trends upward week-over-week
• Delivered-not-closed count spikes
• Data sync fails overnight

You shouldn't find out about problems from your PE sponsor. You should find out before they do.

Is This Worth It?

If you're running 5 shops, probably not. CCC's built-in reports are annoying but survivable.

If you're running 20+ shops—especially with aggressive growth plans or PE backing—the ROI is immediate:

• Time saved: Stop spending hours on manual reporting
• Better decisions: Act on today's data, not last month's
• Fewer surprises: Catch problems before they become patterns
• Scalable: Add shops without adding reporting overhead

How to Get Started

You have three options:

1. Build it yourself

If you have a data team, you can build this in-house. Expect to spend months learning CCC's API quirks, building the pipeline, and maintaining it ongoing.

2. Hire a generic BI consultant

They'll build you dashboards, but they won't know CCC's data model or the operational KPIs that matter for collision repair.

3. Use a purpose-built platform

Some platforms are specifically built for CCC data and MSO operations. They've already solved the API integration, understand the data model, and know what metrics matter.