KPI & semantic models
Define the task and acceptable result for KPI and semantic models before choosing models, prompts or supporting data.
Data & Analytics
Analytics & Business Intelligence
Gromnii designs trusted metrics, dashboards and self-service analytics for operational visibility.
Sources
Ingest
Quality
Platform
Insight
Action
When this is useful
Use analytics and business intelligence when teams cannot reliably answer operational questions from current systems or when different reports produce conflicting versions of the same metric. The work starts with definitions, source quality, access and the decisions the analysis must support.
How information moves through the system
This reference shows one possible Analytics and Business Intelligence arrangement. The actual design depends on the systems, constraints and controls involved.
01Sources
02Model
03Metrics
04Visualization
05Decision
06Feedback
What Gromnii builds
Executive dashboards
Give Executive dashboards enough operational context to explain what changed, not just display a number.
Operational analytics
Provide drill-down paths in Operational analytics from a summary to the records and dimensions behind it.
Self-service analytics
Keep filters, comparisons and calculation logic visible in Self-service analytics so users can interpret results correctly.
Natural-language analytics
Connect Natural-language analytics to the action or workflow that follows when a threshold or exception is found.
What matters in production
Metric definitions
Define metric definitions in terms of data ownership, quality, lineage and serving expectations so downstream users can see when the platform is outside acceptable limits.
Access
Apply dataset, dashboard and row-level access according to role so self-service reporting does not expose information outside the user’s business need.
Freshness
Show users when a metric was last updated and monitor upstream delays so decisions are not made from dashboards that look current but are not.
Interpretability
Use definitions, filters, units and drill-down paths that let a reader understand how a metric was calculated and what records sit behind it.
What it can improve
Consistent business metrics
Define measures once and connect them to governed source data so teams are not reconciling competing calculations.
Faster operational visibility
Make current performance, exceptions and trends easier to inspect without waiting for repeated manual analysis.
More useful self-service analysis
Give approved users ways to explore data while keeping semantic definitions, row-level access and source lineage intact.
Related solutions and industries
Discuss a Project
Describe what Analytics and Business Intelligence should change, the systems it must work with and the constraints that matter.