Basic analytics / DataViz
Users manually select dashboards, filters and drilldowns. Exploration depends on prebuilt views.
iCrunch Sense interprets natural language through AI and ML models — while iCrunch Pulse governs deterministic analytics execution: preserving user intent, validating schema, enforcing filters, and ensuring reproducible results before any query runs.
Analytics is evolving from manual dashboard navigation to natural-language interfaces — but the highest maturity level is deterministic analytics: governed, reproducible execution powered by iCrunch Pulse.
Users manually select dashboards, filters and drilldowns. Exploration depends on prebuilt views.
Users ask in natural language, but the system is probabilistic and may reinterpret filters, schema and values.
Natural language is compiled into governed execution. Intent is preserved, schema is validated, and filters are enforced.
LLM-driven NLQ systems can generate plausible answers while changing filters, selecting the wrong schema path, or producing different queries across executions.
User-requested filters can be omitted without explicit failure.
User values may be normalized, corrected, or mapped without visibility.
Identical conditions can lead to different conclusions.
Pulse is the deterministic execution layer that governs how analytics queries are validated, corrected and executed.
Natural language is first analysed to extract precise user intent, then interpreted by iCrunch Sense. iCrunch Pulse validates, corrects and governs execution before any query runs.
Business or operational question expressed in natural language.
Extract KPI, filters, dimensions, timeframe and expected output.
Domain-specialized model interprets vertical vocabulary and context.
Schema validation, filter enforcement, unit rules and routing checks.
Only validated queries are executed. Invalid requests fail explicitly.
Identical input and context produce identical output, fully auditable.
Accurate tracking of usage, performance and application behavior without data reinterpretation.
Precise revenue and usage analytics with strict filter enforcement and reproducible KPIs.
Deterministic cross-domain correlation ensuring consistent and explainable diagnostics.
Fully auditable analytics with guaranteed reproducibility for compliance and reporting.
Reliable customer insights without probabilistic distortion of segmentation or behavior.
Faster and more reliable decision-making across teams with consistent analytics outputs.