Deliver AI-Ready InsightsThat Drive Better BusinessDecisions

Ensure dashboards and models stay trustworthy with adaptive observability, impact-aware triage, and automated updates.

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95%

Field-level lineage mapped from sources to dashboards in minutes.

3x

Faster resolution with impact-ranked triage and guided root cause.

24/7

Dynamic Data Health Scoring prioritizes KPI-critical datasets and reports.

80%

Fewer false positives via seasonality-aware, adaptive baselines.

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Reliability designed for the enterprise!

Data + AI observability for

Trustworthy Business Analytics

Adaptive monitoring, impact-aware triage, and instant updates keep executive dashboards credible for decisions.

Triage by business impact first

Rank alerts by affected KPIs, critical reports, and audiences—so effort targets revenue moments. Severity blends usage, freshness, and SLA risk to mute noise.

Connect sources to every dashboard tile

Field-level lineage reveals how changes propagate to BI; preview downstream blast radius before merges or schema edits to prevent leadership surprises.

Close the loop with stakeholders

Share timely heads-ups when data drifts and automatic “all clear” on recovery, reducing escalations and reruns.

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Data Engineering Expert

5-min architecture review. Walk your pipeline;
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Get to know how your data is used

  • Usage heatmaps: Visualize table popularity by team, recency, and query frequency.
  • Owner insights: Identify dataset owners and consumers to streamline accountability and routing.
  • Usage trends: Spot adoption spikes, drop-offs, and dormant assets needing retirement.
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Observability UI
Prediction UI

Understand downstream dependencies at a glance

  • Field-level lineage: Trace column changes to impacted metrics, dashboards, and models instantly.
  • Pre-merge impact: Simulate schema edits and highlight at-risk reports before deployment.
  • Blast-radius view: Quantify affected users, KPIs, and SLAs to prioritize fixes.
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Easily identify your most critical business assets

  • Criticality scoring: Score dashboards by usage, executive visibility, and revenue sensitivity.
  • Performance guardrails: Detect slow queries and heavy extracts; recommend optimizations automatically.
  • Certification workflows: Badge trusted assets and deprecate stale ones with auditable reviews.
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Cost visibility dashboards and data sources UI

Talk to Sales

Pricing, security review, and procurement support.

Data Reliability

Engineered for AI Success

Ensure trusted analytics and dependable AI outcomes with end-to-end observability across data and models.

From

To

Manual, asset-level checks per table/report

AI adapts expectations by KPI criticality, seasonality, and audience reach

Firefighting after execs flag broken dashboards

Impact-first triage executive dashboards, revenue metrics, and key models fixed first

Coverage limited to warehouse; blind to BI & models

Root cause + guided fix via lineage across source → semantic layer → BI

Ad-hoc stakeholder comms; no automatic ‘all clear’

Auto stakeholder updates (heads-up and resolution) with an auditable trail

Unknown change risk; downstream dashboards break post-merge

Pre-merge impact preview and guardrails prevent dashboard breakage before release
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Guided interactive experience for lineage, alerting, and root-cause resolution flow.

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