By use case
Ask questions that cross departments.
The most valuable business questions span systems, which is exactly why they usually go unanswered.
What usually goes wrong
The gaps are predictable.
Not because the software is bad, but because each system only holds part of the story.
- 01Every cross-functional report starts with a CSV.
- 02Two teams present different numbers for the same month.
- 03Cohort and lifecycle analysis needs a data engineer.
What changes
When the context is shared.
One definition per metric
Revenue means the same thing in the sales dashboard and the finance report.
Cross-product reporting
Campaign spend, pipeline, orders and support load can be read on one page.
Answers without a project
Because the data already shares keys, joining it isn't an engineering exercise.
The products this uses
In the order most companies switch them on.
You do not need all of them on day one. Each step is useful before the next one exists.
- 01Sarva AnalyticsDashboards and reporting that read from every product, so revenue and operations sit on one page.Early access
- 02Sarva DataThe unified profile layer. Identity resolution, behavioural events, attributes, consent and audiences.Early access
- 03Sarva ERPQuotations, orders, invoices, payments, accounting, purchasing, inventory, projects and manufacturing.Available
- 04Sarva CRMA sales workspace for leads, accounts, opportunities and the daily work of moving deals forward.Early access
- 05Sarva MarketingSegments, campaigns and automated journeys that run on live customer context instead of stale lists.Early access
Underneath all of it
Whichever products you use, they are working on one customer record.
One account · one document chain
Scroll horizontally to follow the chain →
Other solutions
Does this match how your business runs?
Tell us where the manual work sits today and we will be specific about which of these products would remove it, and which of them are not ready yet.