Hi-Tech
One ARR and churn number that finance, sales, and product all use.
What makes hi-tech data different.
Product events, subscriptions, billing, CRM, and support data each grew up inside a different team, with its own pipelines and its own metrics. Hardware companies add device and supply chain data. Every enterprise deal brings another security questionnaire.
Finance, sales, and product report different ARR and churn. CRM accounts don’t match billing or product usage. The warehouse bill grows faster than revenue. The AI feature that worked in the demo can’t be tested or monitored once customers are using it.
We write one definition for each metric your leadership reviews and build it in a shared metrics layer. Accounts are matched across CRM, billing, and product, with parent and child hierarchies. Pipelines move onto one platform with spend tracked by team. AI features get evaluation sets, tenant-aware permissions, and monitoring before launch.
Our work in hi-tech.
The board deck and the sales dashboard show the same ARR, and your AI features have tests that run on every release.
- 01
Revenue and SaaS metrics
ARR, net retention, churn, and active use defined once in a metrics layer that every dashboard reads.
- 02
Customer and account master data
Accounts matched across CRM, billing, product, and support, with parent and subsidiary rollups.
- 03
Product analytics platform
Event and telemetry data modeled so product and customer success can answer their own questions.
- 04
Data platform cost control
Warehouse and lakehouse spend broken out by team and query, with tuning and usage policies.
- 05
AI features in your product
Retrieval, agents, and evaluation pipelines for customer-facing AI, with access checks that respect each tenant.
- 06
Go-to-market data with Salesforce
Clean accounts, territories, and pipeline in Salesforce, joined to product usage.
- 07
Security and privacy reviews
Data protection design and the evidence SOC 2 auditors and customer questionnaires ask for, with GDPR and CCPA covered.
- 08
Platform operations
Monitoring, incident response, and ongoing support for your data platform.
What we bring on day one.
Metrics Layer Starter
Define each metric once, with an owner, and point every report at that definition.
Learn moreGenAI Evaluation Tests
A test set from your experts that scores every assistant change before it ships.
Learn moreAI Agent Controls
A written scope for each AI agent, checked on every action it takes.
Learn moreThe first step.
We take the metrics in your monthly leadership review and trace how each team calculates them today. You get the differences that matter and a proposed single definition for each.
How we workAsk Dex about hi-tech data.
Dex answers from our own pages and links to where it found the answer.
Whose churn number is right?
Send us each team’s version. We’ll trace them and help you agree on one.