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Product Suite
Dataswain Platform
KPI Dashboards & Analytics
Dataswain Analytics Hub

One metric store. Many decisions.

A semantic layer and KPI dashboards that keep definitions consistent-no more dueling spreadsheets.

Why a Semantic Layer?

Consistent definitions; self-serve without data drift.
Everyone speaks the same language when talking about metrics.

One Metric Store

Single source of truth for all business definitions

No Data Drift

Governed definitions prevent inconsistent reporting

Self-Serve Access

Teams explore data without waiting for IT

Embedded Analytics

Drop dashboards into your apps and portals

Industry Templates (Starter Packs)

Retail

  • Revenue & GMV tracking
  • AOV & conversion rates
  • Inventory coverage
  • Reorder risk alerts

Healthcare Ops

  • Appointment volumes
  • Turnaround times
  • Adherence indicators
  • Resource utilization

Finance/FP&A

  • Runway & burn rate
  • Budget variance
  • Cohort LTV
  • Unit economics

*Note: Healthcare templates use generic ops indicators, no PHI

Self-Serve & Governance

Role-Based Views

Each user sees only the data they're authorized to access

  • Department-specific dashboards
  • Field-level permissions
  • Custom metric access
  • Automatic filtering

Filters & Drill-Downs

Explore data without compromising governance

  • Interactive drill-downs
  • Time period comparisons
  • Segment analysis
  • Custom groupings

Export with Watermarking

Share insights safely with audit trails

  • PDF/CSV exports
  • Watermarked reports
  • Download tracking
  • Usage analytics

Metric Definitions (Sample)

Metric
Definition
Source
Owner
Revenue
Total confirmed sales (excl. tax & returns)
payments.transactions
Finance
AOV
Average order value = Revenue / Order Count
orders.summary
Marketing
CAC
Customer acquisition cost = Marketing Spend / New Customers
marketing.campaigns
Growth

Full metric dictionary available in product

FAQ

Q: Can we keep Tableau/Power BI?

A: Yes-use the semantic layer as the governed source. Dataswain integrates with your existing BI tools.

Q: How do we stop ad-hoc chaos?

A: Central metric definitions + review workflow ensure everyone uses the same trusted metrics.

Q: Can non-technical users explore data?

A: Yes, via curated filters and glossary. Self-serve access without breaking governance.

See the Analytics Hub in action

Book a demo to explore dashboards, metric definitions, and self-serve analytics.