AI native · Dashboard gallery

Every connection.
A new way to understand.

Explore twelve interactive dashboard examples for every connector. See the charts, inspect the sample data, and discover the questions an AI native workspace can help you answer.

Explore the dashboards ↓Find your connector
12 dashboards per connectorInteractive chartsIllustrative sample data
Cloud cost intelligence

See the signal.
Know what to ask next.

A spike. A missing owner. A growing workload.
Explore the dashboards that turn cloud bills
into better questions and clearer next steps.

tableArth / cloud intelligence
Interactive example
aws

AWS Billing / Spend & anomalies

Know where every dollar goes.

01 – 30 Sep 2026
Month-to-date spend $64,800
11.1% above baseline
Budget remaining $5,200
of $70,000 monthly budget
Highest-spend day $4,320
22 September

Daily spend. One spike stands out.

USD · September 2026

$0 $1.2k $2.5k $3.8k $5k 22 Sep · $4,320 September 1: $2,069 September 2: $2,115 September 3: $2,081 September 4: $2,110 September 5: $2,253 September 6: $2,405 September 7: $2,413 September 8: $2,246 September 9: $2,029 September 10: $1,914 September 11: $1,926 September 12: $1,944 September 13: $1,849 September 14: $1,664 September 15: $1,538 September 16: $1,592 September 17: $1,786 September 18: $1,965 September 19: $2,019 September 20: $1,999 September 21: $2,044 September 22: $4,320 September 23: $2,444 September 24: $2,542 September 25: $2,457 September 26: $2,291 September 27: $2,195 September 28: $2,214 September 29: $2,238 September 30: $2,138 1 Sep 7 Sep 14 Sep 21 Sep 30 Sep
Daily spend Illustrative baseline

What’s driving the bill?

Share of monthly cost

EC2: $32,400 RDS: $15,552 S3: $9,720 Other: $7,128
$64.8k Total spend
EC2 50%
RDS 24%
S3 15%
Other 11%
Spend signal

A $4,320 day deserves a second look.

Daily spend is 150% above the $1,728 reference. Start with the services behind the increase.

tableArth / cloud intelligence
Interactive example
AZ

Azure Billing / Allocation & accountability

Give every cost an owner.

01 – 30 Sep 2026
Monthly billed cost $48,200
Across 4 allocation groups
Allocated spend $41,452
86% assigned to an owner
Ownership gap $6,748
14% of total monthly spend

Your cloud bill, by team.

Illustrative allocation using owner tags

Core platform $18,316 38% of spend
Data & AI $13,014 27% of spend
Customer apps $10,122 21% of spend
Unallocated $6,748 14% of spend

Area represents each team’s share of total billed cost.

Ownership coverage

Billed cost with an owner assigned

86%

Spend with an owner

$6,748 still needs an owner
Allocation signal

Find the owner of $6,748.

Review unallocated costs before the next budget conversation. Start with missing or inconsistent owner tags.

tableArth / cloud intelligence
Interactive example
GC

Google Cloud Billing / Services & project hotspots

Make your next investigation count.

01 – 30 Sep 2026
Monthly usage cost $36,900
Services & project costs
Largest service $14,760
BigQuery · 40% of the bill
Top project $14,760
analytics-prod

Start with the biggest cost driver.

Usage cost by service · USD

$14,760
BigQuery
$11,070
Compute
$7,380
Storage
$3,690
Other
September spend Illustrative baseline

Where is the spend landing?

Usage cost by project

analytics-prod $14,760
customer-app $9,963
data-platform $7,380
Other projects $4,797
Cost driver signal

BigQuery accounts for 40% of the bill.

Compare BigQuery costs by SKU and project, then review the workloads driving the largest charges.

01 / 03 Scroll or swipe to explore

Explore 12 dashboards per connector

AWS dashboard, 1 of 3.

From insight to investigation

Follow the spike back to its source.
AI native analytics · Dashboard library

One connection.
Twelve ways to see more.

Start with a business question.
Open a dashboard. See the value in your data.

12 dashboards
01–06 / 12

Illustrative dashboards using fictional September 2026 data. Available analyses depend on the fields in your source.

Revenue01 / 12

Sales overview

Sales value₹58.4LSeptember 2026 · Sample

See where revenue is growing before your next sales review.

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Procurement02 / 12

Purchase overview

Purchase value₹30.2LSeptember 2026 · Sample

Focus supplier conversations on your largest purchases.

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Revenue03 / 12

Customer contribution

Customer sales₹45.1LSeptember 2026 · Sample

Understand dependence on your biggest customer accounts.

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Procurement04 / 12

Supplier concentration

Supplier purchases₹31.3LSeptember 2026 · Sample

Find supplier relationships worth reviewing first.

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Finance05 / 12

Expense intelligence

Expense value₹15.1LSeptember 2026 · Sample

Bring a clear expense breakdown to budget discussions.

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Collections06 / 12

Receipt analysis

Receipt value₹45.2LSeptember 2026 · Sample

Understand collection patterns across cash and bank accounts.

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Finance07 / 12

Payment analysis

Payment value₹39.7LSeptember 2026 · Sample

Plan payment reviews around the largest recorded outflows.

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Treasury08 / 12

Cash & bank activity

Gross movement value₹73LSeptember 2026 · Sample

See activity concentration before reconciling accounts.

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Inventory09 / 12

Product sales

Product sales value₹37.3LSeptember 2026 · Sample

Prioritize the products that matter most to revenue.

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Inventory10 / 12

Stock outflow

Units dispatched16.3KSeptember 2026 · Sample

Spot items to review for replenishment.

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Finance11 / 12

Credit note review

Credit note value₹3.1LSeptember 2026 · Sample

Identify adjustments worth a closer account review.

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Operations12 / 12

Voucher activity

Vouchers recorded9.2KSeptember 2026 · Sample

Understand accounting workload and unusual activity days.

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Every preview opens a full dashboardTake the question into your AI tools

tableArth.ai / dashboard example
Fictional sample data

Start the conversation

The business value

Data you’ll need

· Illustrative analysis; no account connected.

About this connector ↗
Explore this with your dataUse workbooks with MCP Preview ↗
Start with a question

A useful dashboard starts with context.

Live databases query the source. Spreadsheets, cloud bills, advertising reports, and Tally use uploaded or refreshed snapshots. Your source determines the available fields and refresh behavior.

01

Connect the source

Choose the right connection and grant access to the data you want to explore.

02

Ask your next question

Explore dimensions, trends, and comparisons using the fields available in your workbook.

03

Keep the useful views

Save charts to a dashboard and return to them as your source or snapshot updates.

AI native by design · MCP preview

Your data.
Your AI workspace.

Keep the conversation where you work. MCP brings authorized tableArth workbooks into compatible clients such as Claude, ChatGPT, and Cursor.

From Tally and spreadsheets to databases, cloud bills, and ad reports: connect the source once, then explore its workbook context through the tools you choose.

Ask your dataExplore dashboardsCreate new views
Explore MCP access

Staged preview. Availability depends on your client, deployment, and plan. Creating or updating dashboards requires write permission.

One workbook. More ways to work.MCP
Your connected dataOne authorized workbook
You control access
Imagine asking in ClaudeExample

“Explore my workbook, explain what changed, and help me build a dashboard for the next review.”

Workbook context → governed analysis → a dashboard you can return to.

Selected workbooks · Revocable accessDiscuss Claude setup ↗
Questions, answered

Before you get started.

How many dashboard examples are available?

The gallery contains 12 examples for each of 19 connectors, plus 12 multi-source workbook and 12 embedded analytics examples. Select a source, scroll the cards, and open an example to inspect its charts and data.

Are the charts showing a live customer account?

The previews use deterministic fictional August and September 2026 data. They demonstrate the types of questions and visualizations available; the figures are not customer results, forecasts, or performance benchmarks.

Can I build these dashboards using my own data?

Connect an appropriate source, select its tables and fields, and define the business question. Available analyses depend on the source schema, relationships, access, and refresh status. Each preview explains the fields it needs.

AI native starts with your data

Your data. Your questions. More possibilities.

Connect a source, explore twelve dashboard examples, and see how an AI native workspace fits the way your team works.

Get a demoExplore connectors