AI analysis for every business team
Upload files or connect your database. Cognizon prepares and understands your data, then turns it into reports, dashboards, and answers your whole team can use—and remembers the context for next time.
THE FIRST FINDING
Revenue finished 8.7% below plan. 71% of the gap came from enterprise renewals in two regions.1
−8.7%REVENUE VS PLAN
71%GAP EXPLAINED
HIGHCONFIDENCE
REPORT9 findings · ready
DASHBOARD6 views · live
ASKconnected to this analysis
Draft generated automatically · sources and calculations attached · verify when ready
Start with spreadsheets, CSV exports, or the databases you already use. Cognizon cleans, organizes, joins, and models them inside a managed data workspace.
The result is analysis-ready data and a first view of what matters.
UPLOAD OR CONNECT · COGNIZON PREPARES THE MODEL
The moment your files land they are one model, with every figure comparable and every outlier already found.
| Period | Actual | Plan | Variance |
|---|---|---|---|
| Jan 2026 | 4,182,660 | 4,120,000 | +1.5% |
| Feb 2026 | 3,946,215 | 4,050,000 | −2.6% |
| Mar 2026 | 4,507,880 | 4,380,000 | +2.9% |
| Apr 2026 | 4,331,092 | 4,410,000 | −1.8% |
| May 2026 | 4,628,440 | 4,520,000 | +2.4% |
| Jun 2026 | 4,489,318 | 4,600,000 | −2.4% |
| Jul 20261 | 4,272,905 | 4,680,000 | −8.7% |
1. ANOMALY · SEVERITY HIGH — July sits 4.6 standard deviations below the trailing six-month mean. 71% of the shortfall traces to enterprise renewals in two regions.
Generated before the first question
Cognizon profiles the data, builds the working model, identifies material changes, and creates an initial report and dashboard. Begin with findings, then verify and investigate further.
09:04:12 sources connected · 4
09:04:46 fields standardized · 63
09:05:18 relationships modeled · 7
09:06:02 quality checks passed · 18/20
09:07:31 material changes investigated · 9
09:08:04 report + dashboard ready to verify
Reports, dashboards, and chat are equal views of the same data model, evidence, and shared business context—not three disconnected products.
Finished reviews with findings, explanations, supporting evidence, and recommended next steps.
9 findings · 3 actions · PDF / web / emailAutomatically generated live views that stay connected to the model and refresh with the data.
6 views · 24 metrics · live refreshAsk follow-up questions, compare periods, refine metrics, and follow the evidence deeper.
source-aware · context-aware · sharedof the variance explained
Evidence stays attached
Review the source data, calculations, assumptions, and confidence behind every result. Verify the conclusion, correct the interpretation, or ask Cognizon to investigate further before you share it.
SOURCE revenue_Q2_final.xlsx · rows 2–84,219
JOIN account_id → customer_master · 18,442 matched
COMPUTED actual revenue ÷ approved operating plan
CONFIDENCE high · 6 of 7 checks passed
Shared memory, built through the work
Definitions, corrections, preferences, and business context are remembered automatically and carried into future reports, dashboards, and answers. Your team can inspect or correct that memory whenever its understanding changes.
Enterprise renewals use contract end date, not invoice date. Learned from Maya’s correction in Review 023.
APPLIES TOreports · dashboards · chat
SCOPErevenue workspace · whole team
HISTORYsource and prior versions retained
REFRESHKeep models and dashboards current as connected data changes.
SCHEDULEDeliver recurring reviews in web, PDF, and email.
WATCHMonitor important metrics and surface material changes.
REMEMBERCarry team corrections and context into the next analysis.
Your team’s AI analyst
Reports, dashboards, and answers—generated from the same understanding of your business.
Start with your own data