Project
Everything this project has produced
Findings, charts, dashboards, reports, decisions, tasks and workflows accumulate here as you work.
Untitled project
Data
Key findings
Outputs
Decisions & tasks
Recent activity
Project health, readiness and the classic overview
What needs attention?
Pinned answers
What should this project accomplish?
Project timeline
Common analytics recipes
Recurring work
What runs, when it runs, what happened, and what needs a person.
Everything this project has produced
Findings, charts, dashboards, reports, workflows, decisions and tasks, with the data and analysis each one came from.
From raw data to a defensible decision
Plan the work, review every change, explore evidence, model outcomes, and publish a story—all with an audit trail.
Tell me the decision you need to make.
Start from the decision
What is ready—and what still needs work?
Approve fixes before they happen
What changed between files?
Every Analyst Lab change
Build a view from the fields
Where is activity concentrated?
Turn open-ended responses into themes
Project what comes next
Use the right test—and understand it
Situation → evidence → action
Walk into the room prepared
Choose the message and presentation
Query the active dataset
Take the analysis with you
Share the structure without sharing the people
Produces new fake rows with similar types, ranges, categories, and missingness. Direct identifiers are replaced.
Check before you publish
Teach the reason behind each step
Make Signal Noir feel like your team
Turn evidence into accountable work
Manage assignments, decisions, requests, governance, meetings, published assets, and live collaboration from one command center.
Who owns the next move?
What did we decide?
What needs investigation?
Comment on the exact thing
Mentions, assignments, changes, and alerts
Create an in-app alert
Arrange the working session
Drag cards to organize them. Updates sync between tabs and through the connected Live Room.
Project access model
Create a password-protected read-only report
Encryption happens in this browser using AES-GCM. Send the HTML file and passphrase separately.
Experiment without disturbing the main analysis
Who changed what—and when?
Start with a well-framed request
Collect structured evidence
Prepare reports automatically when Studio opens
Static hosting cannot run while closed. Due deliveries are prepared the next time Studio opens; a server scheduler can be connected later.
Source → decision
Who certifies each KPI?
Definitions, policies, and reporting knowledge
Portfolio readiness
Independent reviews of the project
Run the decision meeting
Dictate notes, tasks, requests, or chat messages
Approved dashboards, reports, metrics, and datasets
Preview the organization catalog
Install guided integrations and analysis packs
Dashboard Studio
Build a decision screen from the active dataset. Every widget responds to the same filter.
Create a calculated field
Use field names in brackets with +, −, ×, ÷, and parentheses. The result is added to the active dataset.
Portfolio Center
Find work across projects, govern datasets, reuse proven structures, and protect sensitive information.
Organization data catalog
Privacy scanner
Create a redacted copy
The original dataset remains unchanged.
Save this project as a template
Start from a proven structure
Reliability Center
Data catalog
Drop files together. Studio profiles their schemas and suggests relationships.
Where does your data live?
Choose a source—or describe it in your own words—and I’ll explain exactly how to prepare it, what permissions you need, what stays private, and how to connect it.
Connect a public data source
Connections refresh when this project opens. Private databases require an HTTPS gateway because GitHub Pages cannot open database sockets.
Dataset update briefing
Workflow canvas
Arrange steps, preview the recipe, and rerun it on replacement files.
Data dictionary
Types, completeness, uniqueness, examples, and likely meanings for every field.
| Column | Type | Complete | Unique | Example | Role |
|---|
Data quality rules
Turn expectations into repeatable checks for every new version of a file.
Add a rule
Run the checks to grade this dataset.
Understand, trust, and govern
Map your data, define its meaning, ask questions, protect sensitive fields, and prepare it for production.
What does each field mean?
Assign business roles so downstream tools know which fields are IDs, dates, measures, categories, or sensitive data.
| Column | Detected type | Business role |
|---|
Combine related files
Shared language
Reusable calculations
Supports SUM, AVG, MIN, MAX, COUNT, and COUNTD.
Lock in expectations
Capture the current schema, required fields, and unique identifiers; then validate future versions.
Get an answer with receipts
What needs attention?
Describe the decision—not the chart
Find privacy risk
Checks names and sample values for identifiers, contact details, financial, health, and demographic fields.
Create a safe working copy
Mask direct identifiers while preserving consistent pseudonyms for joins and repeat analysis.
Draft → Reviewed → Approved → Published
See what a change could affect
Start with a proven operating model
Build a secure database gateway starter
Generated kits use read-only credentials from environment variables. No secrets are placed in this website.
Is this ready to scale?
Report Studio
Turn the current project into a concise narrative with evidence and recommendations.
Click any insight to inspect the evidence
Automation
Plan recurring work locally or export a calendar reminder. Server execution can be connected later.
Schedule a report
Collaboration
Track roles, comments, and project snapshots locally, then share them in a portable project bundle.
AI engine
Tool Builder
Package a workflow into a reusable tool without writing code.