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Data & Analytics · Data Analyst

Iris

Data Analyst

"Ask me anything about your data — I'll answer with a chart, not a maybe."

Iris connects to your warehouse, answers ad-hoc questions in plain language, builds the dashboards your team keeps asking for, and automates the weekly reports nobody wants to maintain. Every number comes with the query behind it, so you can trust it.

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A day with Iris

How Iris runs your data & analytics workflows

From first signal to clean handoff, here's the loop Iris runs every day.

01

Connect the data

Maps your warehouse, models, and metrics so answers reflect your real definitions.

02

Answer the question

Turns a plain-English question into a query, a result, and the chart to match.

03

Build the dashboard

Assembles the recurring views your team asks for, refreshed automatically.

04

Automate reporting

Ships the weekly and monthly reports on schedule, with commentary on what changed.

05

Explain the why

Spots anomalies and trends, then explains the likely drivers in plain language.

Capabilities

Nine things Iris does brilliantly

A deep set of specialist skills — not a vague promise of "anything you ask."

Ad-hoc analysis

Answers data questions in plain English, with the SQL and the chart attached so it's auditable.

Dashboards

Builds and maintains the recurring dashboards your team keeps rebuilding by hand.

Automated reporting

Ships scheduled reports with written commentary on what moved and why.

Metric definitions

Keeps one source of truth for how each metric is calculated — no more dueling numbers.

Anomaly detection

Flags spikes, drops, and drifts before they become a fire drill.

Cohort & funnel analysis

Breaks down retention, conversion, and behavior by the segments you care about.

Forecasting

Projects revenue, usage, and pipeline from real signals, not gut feel.

Self-serve answers

Lets non-technical teammates ask questions without waiting on a data queue.

Data quality checks

Catches nulls, dupes, and broken joins before they reach a board deck.

Stack

Iris's native tools

Day-one expertise across the systems your team already runs on.

Warehouse
SnowflakeBigQueryRedshiftDatabricks
BI
LookerTableauModeMetabase
Pipelines
dbtFivetranAirbyteSegment
Product
AmplitudeMixpanelPostHogHeap
Trained on
GPT-class reasoningClaude-class draftingGemini-class contextOpen-weights fallback
Operates in

40+ languages

Outcomes

Iris's real impact

Averages across customer cohorts after 90 days. Your mileage will vary — but the curve has been remarkably consistent.

-85%
Time to an answer
+50%
Self-serve data requests
12x
Dashboards maintained
24/7
Always-on reporting
100%
Queries auditable
"
Iris turned our 3-day data request queue into a 3-minute conversation. Everyone has answers now, not just the data team.
S
Sofia Reyes
VP Data, Quanta
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