DataUnmess robot transforming messy data into analytics
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Data Pipelines

Import, manage, clean, and schedule

Data Pipelines visual

Dashboards

Publish live KPI views

Dashboards visual

Data Science

Explore cohorts and signals

Data Science visual

DataUnmess Memory

Business memory reused by MCP answers and future tasks.

DataUnmess Memory visual

Data Pipelines

Ingest from any source: GA4, files, APIs, SaaS, databases, and warehouses. Enrich, clean, transform, schedule it.

Keep saved connections current with edit, test, reconnect, and disconnect controls.

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Home PagesMCP

Files
CSVCSVXLSXXLSXJSONJSONParquetParquet...More
SaaS Apps
SalesforceSalesforceHubSpotHubSpotStripeStripeGoogle SheetsGoogle SheetsGA4GA4...More
APIs
APIREST APIREST API{..}WebhookWebhookGQLGraphQLGraphQLAPICustom APICustom API...More
Databases
PostgreSQLPostgreSQLMySQLMySQLMMongoDBMongoDBRRedisRedis...More
Warehouses
ClickHouseClickHouseSnowflakeSnowflakeBigQueryBigQueryRedshiftRedshiftDatabricksDatabricks...More

Dashboards

Ask your AI for a complete sales view. DataUnmess turns the request into live KPIs, charts, funnel stages, deals, and analysis.

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Home PagesMCP

Dashboard topics

Any AI context, file, or data can become a dashboard.

DataUnmess turns your data into visual insights with just one prompt. Control every topic below through AI chat messages.

  • 01

    Many sources

    Ask AI chat to connect Sheets, files, databases, warehouses, SaaS apps, APIs, or MCP context.

  • 02

    Live by default

    Ask AI chat to refresh query-backed dashboards every 30 seconds without spending AI tokens.

  • 03

    Share dashboards

    Ask AI chat to save dashboards and share them with everyone in your workspace.

  • 04

    Theme control

    Ask AI chat to switch the whole dashboard across several visual themes.

  • 05

    Card controls

    Ask AI chat to tune chart types, titles, fields, colors, and layout.

  • 06

    Historical analysis

    Ask AI chat to compare trends, changes, and performance across time.

DataUnmess

Revenue Ops Workspace

Saved dashboard0 AI tokens on reload

Sales Command Center

Live sales KPIs, funnel health, forecast coverage, rep performance, top deals, and AI-written next actions.

Bookings

$2.41M

+18.6%90d closed won

Pipeline Value

$8.7M

3.6xCoverage to target

Win Rate

31.4%

+3.6 ppStage weighted

Avg Deal Size

$84.2K

+9.1%Enterprise lift

Stacked area

Daily Payment Amount by Status

Live
succeededprocessingchargebackrefundedfailed

Combo

Monthly TPV and MoM Change

Live
6.7M1.3M3.7M9.3M-3.6M10.5M-2.7M12.9Mmom_changemonthly_tpv

Bar Charts

Rep Performance

Live
Sarah J.
$1.18M
Emily D.
$1.07M
James W.
$0.93M
David B.
$0.76M

Waterfall

Pipeline Movement

Live
OpenNewExpandLostWon

Area

Forecast Coverage

Live

Distribution

Source Mix

Live
Inbound
42%
Partners
24%
Outbound
21%
Expansion
13%

Tabular

Top Open Deals

Live
Deal NameAccountStageOwnerAmount
Enterprise RenewalAcme CorpProposalSarah J.$185,000
North America Exp.Globex IncNegotiationMichael C.$142,000
New Logo StrategicInitechQualifiedEmily D.$128,000
Platform UpgradeSoylent CorpProposalJames W.$97,000
EMEA ExpansionUmbrella IncNegotiationDavid B.$88,000

AI Notes

AI Insights

Live

Bookings are up 18.6% vs prior 90 days, led by enterprise renewals.

Win rate improved 3.6 pp. Keep proposals under 30 days to protect velocity.

Forecasted bookings of $2.7M gives 112% coverage vs the next target.

First asks

The first prompt should guide the work.

Once DataUnmess is connected, start small: create a dashboard, build a pipeline, explore data science, or map a sales process.

See MCP onboarding

Starter prompts

Simple asks
Memory>Start company memory onboarding.
Dashboards>Create a dashboard from my sales file.
Filters>Filter the Sales dashboard to June transactions.
Data Pipelines>Import my HubSpot CRM and keep it updated daily.
Cleanup>Preview and delete a stale GA4 import dataset.
Data Science>Explore churn and revenue signals.
Flowchart>Create a flowchart for our sales process.
Bug report>Open a bug report from this MCP session.