Embedded analytics by industry.
A store hierarchy, care relationship and agency-client boundary produce different filters, definitions and freshness requirements.
HR
Workforce numbers, per customer, inside your product.
Sales and CRM
Pipeline and performance reporting, per customer.
Retail and Ecommerce
Store, brand and seller performance, per tenant.
Healthcare
Clinical and revenue-cycle reporting, per provider, without moving protected data.
Finance
Reconciled financial summaries, per customer.
Marketing
Client results under the agency's own brand.
Operations and Supply Chain
Plant, fleet and supply-chain reporting, with per-number freshness.
One enforcement model, different tenant boundaries.
Scope resolved in the query
A reporting line, store, entity or client becomes a filter carried by the query. Rows outside the filter are not returned, so they cannot leave through an export or a shared link.
Under your brand
Themes, translations, your own sender address, PDF and spreadsheet templates. Set once, and our name is not on the dashboard, the email or the attachment, in any vertical.
Data freshness you set
Cache TTL is a per-dashboard setting, so how fresh a figure is stays under your control. The acceptable cadence differs by industry.
End-user controls
Filters, period comparison and scheduled exports are available to the end user.
What changes by industry.
Metric definitions
Attrition, win rate, like-for-like growth and denial rate are defined differently within their own industries. Each number is shown with its definition.
Access rules
A reporting line, a store hierarchy, a care relationship and an agency-client boundary are four different access rules, each expressed as a query.
Acceptable latency
A retail manager acts on today's data. A finance team reads against a close calendar. An operations feed arrives out of order.
Other industries.
The platform is not industry-specific. Tell us what your customers ask for and we will point you at the closest page.