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Scenario · Public health

Public health scheme monitoring

A state health scheme covering hospitals in thirty districts.

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Alerts · Inbox
Unread 4RulesChannels
Claims ratio breach · West zone76.4% against a 72% threshold · 3 branches
09:12
Outliers in daily premium4 branches outside 3σ of the 90-day band
08:30
Approval waiting · Claim CL-88213Assigned to you · SLA ends in 5h
08:02
Pipeline finished · claims_monthly_martSucceeded in 3m 12s · 48,210 rows
02:03
Rule: Claims ratio by zone · when value > 72% · check hourly · cooldown 6h · deliver to Email, Teams, Web Push · also start workflow “Zone review”
Product illustration · sample data

Illustrative scenario: a fictional organisation, shown on Marut BI with sample data.

Before

  • Officers get static monthly PDFs
  • Unusual claims are found late, in audits
  • Data can't leave the state data centre

With Marut BI

  • Install. Marut runs offline in the state data centre.
  • Monitor. Each officer sees their own district.
  • Flag. Unusual hospital claims are flagged daily.
  • Review. Reviewers search documents offline.

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