Too Much Unhelpful Data Slows Your Business

This Customer Data Platform (CDP) for global enterprises needed a major upgrade on how they sold. The result was a competitive advantage.

80%

Faster Quoting

Every business challenge has a data layer beneath it.

For Treasure Data, the world's data platform for global enterprises, sales had the clearest example of having too much unhelpful data.

The Challenge

Pricing logic too complex for the existing system. Enterprise, multi-year, multi-currency deals had outgrown what the old CPQ tool could model accurately.
No visibility into margin during negotiation. Reps were negotiating deals without seeing the numbers that mattered most, and usually erred toward closing over protecting margin.
No structural support for adding new products or currencies. Every new product line or currency was a workaround, not a supported path.

How They Got There: Start At The Data Layer

Remember, data is platform-agnostic; so instead of digging into their CPQ instance, we rebuilt the foundation. That involved data architecture work that ensured their CRM and CPQ synced with customer data, pipeline, and quoting.

Then, it was a matter of building, from a Quote Calculator Plug-In to handle multi-year contracts with pricing that varies by year and integrations into NetSuite, IronClad, JIRA, and AWS so the CPQ environment stayed in sync with the rest of Treasure Data's technical stack.

We also cut pricing templates by 96%, showing how just one aspect can have untold effects elsewhere ... and now they have a clean, structured foundation in place with multi-currency accuracy and real-time margin visibility.

The Result: Speed + Accuracy

Now Treasure Data has a revenue architecture that finally matches the complexity of what they sell, and it can expand as new products, markets, and currencies come online, rather than strain under them.