Mimasa AI™
For Economists

Economic Indicators Dashboard For Economist Research

Build an economic indicators dashboard that shows what changed, when it changed and where each figure came from. Compare GDP, prices, jobs and trade in one research workflow.

Mimasa AI helps you organise approved data, explore patterns and write clear analysis. Your dashboard can update as its permitted sources refresh. Your interpretation stays yours.

Source and date · Comparable measures · Visible revisions · Analyst review

Economist Workspace · Illustrative layout, no live dataAs of: release date

Activity

Real GDP growth

Quarterly · Constant prices · Revised

Data not connected

Labor

Unemployment rate

Monthly · Seasonally adjusted

Data not connected

Prices

Consumer-price change

Monthly · Year on year

Data not connected

Trade

Exports and imports

Monthly · Value · Currency noted

Data not connected

Economist Note · Draft

The rate moved, while participation also changed. This chart alone cannot identify the cause.

Definition

What Makes An Economic Dashboard Useful?

An economic data dashboard brings selected measures into one view. It helps an economist ask a focused question: Is growth slowing? Are prices rising more slowly? Are more people looking for work?

A Chart Alone Cannot Answer Why

The useful view pairs each series with its definition, release date, geography and source. A written note states the economist's interpretation and its limits.

Choose The Series Before The Chart

A macroeconomic dashboard can compare activity, prices, labor and trade. A macroeconomic indicators dashboard is most useful when readers can see which measures are comparable.

Start With A Research Question

Then select an indicator, comparison period and audience. Do not mix annual growth with monthly rates without labeling the difference.

Evidence

Prepare Economic Evidence Before You Compare It

Economists often work across public tables, approved data feeds and local research files. A release can be revised after publication. A source may also change its method.

For each series, record:

  • 01Measure and definition: GDP growth, unemployment rate, consumer-price change or a trade measure.
  • 02Place and population: Country, region, age group or other coverage.
  • 03Unit and frequency: Percentage, index or currency; monthly, quarterly or annual.
  • 04Adjustment and basis: Seasonal adjustment, constant prices, base year or nominal values.
  • 05Period and availability: Period measured, release date and last successful refresh.
  • 06Source and version: Publisher, link or dataset ID, permitted use and available revision history.

Use Data Extraction & Connectivity for approved source intake and Intelligent Data Snapshots for a reproducible analysis view. A source may require separate access or licensing.

Output

Build A GDP Dashboard That Separates Level From Growth

A GDP dashboard can show output and change over time. A level describes the size of measured output. A growth rate describes change between periods. Real GDP adjusts for price changes; nominal GDP does not.

Start with one geography and series definition. Show the unit, period, adjustment and source. Then add a comparison period or another geography if the definitions match. Mark revisions and missing periods.

When you compare countries, check population, purchasing-power measures, base years and currency treatment. An unlabeled line chart can make different economies appear directly comparable when they are not.

Level

The size of measured output in a period.

Growth

The change between two periods.

Real Versus Nominal

Real GDP adjusts for price changes. Nominal GDP does not. Label which one each chart shows.

Labor Market

Use An Unemployment Dashboard To Explain Labor-Market Change

An unemployment dashboard should show the rate, time period, source and population covered. It may also show participation and employment measures, where licensed data is available.

An unemployment rate can fall when hiring improves. It can also change when people leave the labor force. Compare measures before you interpret the direction.

Ask four questions:

  1. 1Has the definition or survey method changed?
  2. 2Is this a seasonally adjusted series?
  3. 3Did the latest release revise earlier months?
  4. 4Do participation and employment support the same interpretation?
Add a plain-language note: “The rate moved, while participation also changed. This chart alone cannot identify the cause.” Keep your observation separate from the explanation.
Definitions

Pair Inflation And Trade With Their Definitions

Prices

An inflation dashboard may show an overall price index and a year-on-year rate. A lower inflation rate means prices are rising more slowly; it does not usually mean prices have fallen. Show the basket, comparison period and source.

Trade

A trade data dashboard can compare exports and imports by period and partner, when the dataset allows it. Label value versus volume, currency, goods versus services, and any coverage gaps. A trade balance is a difference between reported flows; it is not a stand-alone verdict on an economy.

Good economic data visualization places a chart beside these notes. Use consistent scales and clear units. Provide a source link and a small data table so readers can check the underlying comparison.

Example

A Small Example Of A Source-Aware Research View

Illustrative layout — no live data or customer results.

Four dashboard panels with the measure, essential context and analyst question for each
PanelMeasure to displayEssential contextAnalyst question
ActivityReal GDP growthGeography, quarter, price basis, revisionIs measured activity changing?
LaborUnemployment ratePopulation, month, adjustment, sourceDoes employment evidence agree?
PricesConsumer-price changeIndex, period, basket and baseIs the pace of price change shifting?
TradeExports and importsCurrency, coverage, period and basisWhich flows changed?

Each visual opens the series definition and revision notes. If no approved value is connected, show “Data not connected” rather than a fabricated figure.

Forecasts

Explore Forecasts Without Confusing Them With Facts

Economic forecasting software should make the method, inputs, horizon and assumptions visible. A forecast estimates a future outcome. A scenario asks what might happen under stated conditions. Neither is an observed release.

Where an approved forecasting method is configured, keep its result in a separate, labeled panel. Record the model version and date. Show an uncertainty range where the method supports one. Compare prior predictions with subsequently published observations using the same vintage and definition.

When no forecasting capability is configured, analysts can still document an external forecast and examine its evidence. Do not render an “AI forecast” line by default. A policy scenario requires even more care: one chart cannot establish a policy's causal effect.

Observed

A published release for a measured period.

Forecast

An estimate of a future outcome from a stated method.

Scenario

What might happen under stated conditions.

Research Trail

Turn A Dashboard Into An Economist's Note

Useful economic research tools support a trail from question to source to conclusion. Write one short note beside the dashboard:

  1. Step 1

    Question

    What changed in the chosen period?

  2. Step 2

    Observation

    Which measures changed, with dates and units?

  3. Step 3

    Comparison

    What happened in a prior period or similar geography?

  4. Step 4

    Caveat

    Which revisions, gaps or definitions matter?

  5. Step 5

    Interpretation

    What is a reasonable explanation, and what remains uncertain?

  6. Step 6

    Next check

    Which future release might change the view?

Link each material claim to the series used. Keep a version of the note when the source revises its numbers. For report creation, explore Insights & Reporting and Data Presentation.

Audience

Share Your Work With The Right Audience

Choose the audience before sharing the chart. Make source rights and review status visible.

Private draft

Appropriate content

Research questions, unpublished assumptions and permitted raw data

Check before sharing

Access and source license

Team review

Appropriate content

Dashboard, note and reviewer comments

Check before sharing

Definitions, revisions and approval

Public dashboard or analysis

Appropriate content

Cleared indicators and reviewed commentary

Check before sharing

License, citation, privacy and disclosure

When supported by the current app, let the economist manage dashboards, choose visibility and publish a reviewed version. A dynamic public dashboard must display its refresh date and flag changed or missing sources. Do not imply an unchanged written note updates itself when the data changes.

Where analyst profiles and bylines are available, they should show the author's name, relevant expertise, analysis date and update history.

Fit

Where Mimasa Fits In An Economist's Workflow

Economic analysis software should help researchers trace conclusions back to data. Mimasa can organise approved sources, prepare comparable views, build dashboards and support reviewed reports. Your institution or data publisher remains the source of record.

When evaluating a macroeconomic data platform, check whether you can see licensing, series definitions, revision history and refresh status. Verify the actual data coverage and connector setup in your deployment. Mimasa's Visualisation & Dashboards page explains general dashboard creation; Data Governance explains permissions and trusted datasets.
Related Roles

Continue Across Analyst Roles

These are neighboring workflows with their own focus.

FAQ

Frequently Asked Questions

Clear answers about economic dashboards, sources, revisions, forecasts and public sharing.

Get Started

Give Economic Data A Clear Source And A Clear Explanation

Build an economist workspace around the questions you want to answer. Compare approved indicators, explain uncertainty and share a reviewed view with the right audience.