Macro Mod Analytics
Macro Mod Analytics Connecting data. Creating insight.
Macro Mod Analytics · Europe + USA · edition 1

Connecting data.
Creating insight.

One macro suite from the Eurostat catalogue to Semafor, MADS scenarios and a publication-ready report — 34+1 countries, six languages of control.

Home · M1–M6 HR + EN manuals and reports HR · EN · FR · ES · IT · DE O = slide map
02 · Agenda

What we will show — click to jump

01 · Why MMA

Why this is not another dashboard. Versus EC, OECD and Bloomberg.

02 · Who and where

34+1 countries, 6 UI languages, reports and manuals in HR and EN.

03 · Pipeline

Home → M1 optimizer → M2 tables, chart types, EU map and statistics.

04 · M3 and M4

A ready-made indicator set and premium diagnostics, plus live sunbursts.

05 · M6 · MADS

DSGE-lite model, scenarios, Δ vs baseline, model limits.

06 · Publications

Comprehensive, sector, MADS, policy brief + deck.

07 · 90 s demo D

Country X from input data to non-binding recommendations.

08 · Audiences

Students, research, media, government, think-tank.

09 · Position

SWOT and USP — why a portal cannot replace it.

10 · How to start

First 30 minutes. Manual HR/EN. START_SUITE.

Arrows / space = slide. O = map of all slides. F = fullscreen. D = start the 90-second demo.

03 · Hook

Macro data exist. The working flow usually does not.

Classic portal

Eurostat, ECB, OECD, AMECO: excellent sources — but they remain a catalogue, a table or a static dashboard. The analyst still glues Excel together.

Terminal / news flow

Bloomberg and similar tools give market speed. They rarely give a MIP↔macro bridge, Semafor and a reproducible comprehensive report for country X.

MMA

Pipeline: optimise the cube → build the table and chart → read the ready-made indicator set → diagnose the regime → scenario → report / policy brief.

Not another dashboard. It is a working language of macro analysis.

04 · Numbers that stick

The suite in one breath

34+1Europe + USA
6UI languages
8M3 sectors
9M4 blocks
39MADS scenarios
4+report types

HR + EN reports and manuals

Manuals and reports in the author’s home language and in universal EN — the same content, two readers.

Offline-first

M3/M4/publications run from a local RDS/CSV. The live API is a refresh, not a condition for the briefing.

Model honesty

Semafor ≠ Commission MIP assessment. MADS ≠ official forecast. Relative ≠ absolute.

05 · Why this is not “another dashboard”

What MMA does differently

EC / Eurostat / OECDBloomberg-classMMA Suite
PurposePublication and series browseMarket and news terminalAnalytical chain through to narrative
Filter before loadOften the whole cubeTicker / functionMemory Optimizer (M1)
Stock–flow vizLimitedAd-hocSankey in viz + MIP↔MMA map
Policy signalMIP scoreboard (institution)Not a MIP bridgeSemafor — a reading map, not a Commission assessment
ScenarioNone in the portalOther productsM6 MADS DSGE-lite (recommended + free)
OutputDownloadScreen / alertComprehensive, sector, MADS, policy brief
UI languagesEN-dominantEN6 languages of the control layer
Chart recommendationA catalogue of typesAd-hocRank + %; Load Data draws mini-models
06 · Coverage

34+1 countries · Europe and a USA reference

Europe and the USA

The same working language

EU27, EFTA, part of the Western Balkans and Turkey — plus the USA as a reference economy (FRED/WB routing). HICP is not converted 1:1 into CPI.

EU27NO · CH · IS ME · MK · RSTRUSA

Peer groups, not only one country

HR, DE, V4, CEI, EA, EU27=100. Compare 2–8 countries in M4. The relative layer prevents a false comparison of development levels.

USA as a reference, not a copy of Europe

FRED/WB routing for US series. HICP is not converted 1:1 into CPI — the same working language, different sources, no fake 1:1.

07 · Languages

Six languages of control · reports and manuals in two languages

HRHrvatski
ENEnglish
FRFrançais
ESEspañol
ITItaliano
DEDeutsch

Control layer = 6 languages

The same navigation, localised buttons, help radio and SUITE bar. A correspondent in Madrid and a student in Zagreb see the same suite in their interface language.

Reports and manuals = HR + EN

User manuals and reports in the author’s home language (HR) and in EN as the universally recognised language of institutions, reviewers and media.

08 · Two tracks

Free exploration and a ready-made macro overview — side by side

Track A — free exploration

  • M1: catalogue, geo/time filter, Load Optimized
  • M2 Fetcher + Pivot → Final Tables
  • Viz: Basic, Map, Sankey/Treemap, Stats
  • For a seminar, a paper, an ad-hoc brief

Track B — ready-made macro overview

  • M3: 8 sectors + relative EU27=100
  • M4: 9 analytical blocks, Semafor, Compare
  • M6 MADS: scenarios after the alarm
  • M5: LATEST HTML/PDF catalogue
Homeorientation
M1optimizer
M2table + chart
M3scoreboard
M4diagnosis
M6MADS scenario
M5publication
Briefdeck

M1 does not automatically feed M4. By design: the reproducible report engine does not depend on the Explorer session cache.

09 · Home · suite landing

Command centre, not analysis

Suite Home — landing screen

What you see in 10 seconds

  • SUITE bar — the same 7 buttons (Home + M1–M6) in every module
  • CTA M1–M6 and Refresh reports
  • EU27 KPIs: GDP, HICP inflation, unemployment
  • Source status (Eurostat: Offline / Live)

Intent

Orientation, language, Europe’s pulse. Depth lives in the modules. Report-refresh operator is not for the end user.

10 · M1 Data Explorer · landing

Optimising the cube before load

M1 Eurostat Data Explorer — landing screen

Why this is distinctive

A classic Eurostat download pulls too large a cube. M1 forces the filter before the API/cache load — geo, time, frequency.

  • Catalogue: ~12,251 available datasets
  • Catalog · Filters · Optimizer · Dataset loader
  • Data preview → Data export
  • Save for Analysis → M2 cache

That is the difference between “I have a CSV” and “I have a controlled sample for analysis”.

11 · M2 Data Hub · landing

Tables you can defend

M2 Data Hub — landing screen

Three doors of the hub

  • Data Fetcher — dimensions, filters, cache, Final Tables
  • Pivot Table — drag & drop builder and export
  • Visualization & Analysis — 5 tools in one workspace

Where the data come from

From Module 1 (cache) or directly from Eurostat. Help / Manual opens the HR or EN handbook; FR/ES/IT/DE fall back to EN.

12 · Charts for macro · Visualization & Analysis

From a line to a stock–flow Sankey

Visualization & Analysis — landing screen

Five tools in one workspace

Basic Charts — 10 types (line, bar, stacked, combined, area, scatter, box, histogram, pie/donut/sunburst, step) · Advanced Charts — 8 types (decomposition, Treemap, Sankey, Chord, Variwide, Radar, Dumbbell, Lorenz) · Europe Map Charts · Load Data & Filtering · Statistical Analysis and Projections.

Why Sankey

Macro is a flow: income → consumption / saving / investment; CA = NX + incomes; MIP column → MMA alarm. Sankey is the natural language of a stock-and-flow story — that is why it sits in Advanced and in the M5 system map.

The next four slides

Concrete examples: the basic set (COICOP, dual axis, stacked GDP, histogram, sunburst), the advanced set (Variwide, decomposition, Chord, time heatmap) and the EU map plus statistical tools.

13 · Charts · basic set

The types macro actually asks for

Bars with COICOP categories — household consumption structure

Combined chart, dual axis — price index (left) and inflation rate (right)

Stacked bar — component contributions to the GDP growth rate

Histogram — firms by average-wage class

Pie / sunburst, two levels — the balance of payments and its accounts

Why these types

  • Dual axis — the level and the rate are not the same order of magnitude; without a right axis inflation vanishes into the index
  • Stacked — growth is not a number, it is a sum of contributions; you see at once whether consumption or net exports carry it
  • Histogram — the average wage can lie; the distribution shows where the mass sits
  • Two-level pie/sunburst — the aggregate and its accounts in one frame, click to go deeper

Charts on this slide are live Plotly examples with illustrative values — in the app you build them from your Final Table.

14 · Charts · advanced set

Advanced types — for processes, not for pictures

Variwide — height = level, width = country weight

Line decomposition — trend and seasonally adjusted series

Chord — mutual flows between sectors

Time heatmap — inflation by month and year (illustrative)

Variwide

A ranking without the cheat: Luxembourg and Germany are not the same “one bar”. Width carries population or GDP, height the per-capita indicator.

Decomposition

STL or classical, additive or multiplicative, frequency 4 / 12 / 52. Separates season from signal before a conclusion about trend.

Chord and Sankey

Sankey for directed flow, Chord for mutual relations (trade, exposures). Both are in Advanced Charts and in the manual.

Time heatmap + the rest

Year × month reveals a seasonal rhythm a line conceals. Plus: Treemap, Radar, Dumbbell, Lorenz. The heatmap here is illustrative only — it is not a catalogue type in Advanced.

15 · EU map and statistical tools

Europe’s map and statistics in the same workspace

Europe Map Charts

Choropleth for EU27 and beyond, Animate Over Time for movement across years, inset maps for small jurisdictions, Zoom to EU27, plus an automatic statistics panel and extremes (top 3 highest / lowest).

Statistical Analysis and Projections

Statistical Analysis and Projections

Three blocks: descriptive (Data & indicators, Index and Growth Rates — YoY / QoQ / MoM), correlations and regression (Pearson, Spearman, Kendall; linear, exponential and polynomial fit), time-series analysis (STL and classical decomposition, ACF / PACF, ARIMA, ETS, Holt-Winters, linear trend, seasonal naive — with a confidence interval).

The same data layer: what you loaded in Load Data & Filtering is immediately available to charts, the map and statistics.

16 · Innovation · smart chart recommendation

The engine ranks the chart type against your table

Load Data & Filtering

After you pick a file, the Chart Examples toggle draws mini-models (small Plotly charts) for recommended types — a % score, TOP PICK, Use chart / Apply Top Pick.

Basic Charts

The same ranking engine: cards with rank, probability 0–100, a reason and an AI insight. No mini chart-models — here it is rank, not preview.

Advanced Charts

The same mechanism for Treemap, Sankey, Chord, decomposition… Apply Top Pick applies the type and mapping. Mini drawings stay on Load Data only.

Why this is uncommon

Portals (Eurostat, OECD) and terminals offer a catalogue of types. MMA inspects the shape of your Final Table (time, geo, categories, numeric columns) and scores fitness. The analyst still decides — the engine only proposes. Rare in similar macro systems: a drawn preview on load, then rank-without-drawing in Basic and Advanced.

Not an automatic report drawer: TOP PICK is a proposal, not an obligation.

17 · Live Sankey — pipeline

How value flows through the suite

Interactive: hover the flows. A pedagogical map of the suite, not a MIP assessment.

18 · M3 Top Indicators · landing

Eight sectors + relative EU27=100

M3 Top Indicators — landing screen

What the user chooses

  • Country and benchmark groups (EU27, EA20, V4…)
  • Period, indicator group, series display, chart type
  • Overview · Trends · Categories · Comparison · Table · Export
  • Relative indicators: 100 = Union average
  • NON-EU countries: proxy sources (World Bank, ONS, FRED)

M3 does not give a composite alarm. When you need “is it red?”, you go to M4.

19 · Interactive · M3 sunburst

Click a sector — the indicators open

First level = 8 M3 macro groups (selection subtabs). Second level = series. Click to zoom in, click the centre to return.

20 · M4 Premium Macro · landing

Diagnosis, not another scoreboard

M4 Premium Macro — landing screen

Read-first rule

  • Country / aggregate → Run builders
  • Executive overview + AI Insight for the first reading
  • Grouped workspace: 9 blocks, each chart 60% + table 40%
  • Semafor: 3 policy signals + 4 qualifiers
  • Compare 2–8 countries (EU27=100) → comprehensive / sector PDF

Semafor is a reading map, not an automatic decision and not a Commission MIP assessment.

21 · Interactive · M4 sunburst

Chapters and tools (workspace subtabs)

First level = analytical blocks. Second = tools the analyst opens as tabs after Run.

22 · Semafor

Red is not a verdict. It is a reading priority.

Red

Tension that deserves an owning chapter: fiscal NGT gap, monetary mismatch, macro-risk board, nowcast pulse. Go there first.

Yellow

Qualifiers: inflation (persistence), labour market, FCI / credit-housing cycle. Rule: do not push yellow into red while you are correcting red.

Green

Not “everything is fine forever”. It is the absence of an alarm in that column — you still read relative M3.

For a cabinet and a newsroom: “MMA signals tension in …; the detail is in chapter …” — never “the Commission said”.

Semafor is the door into M6: the red column decides which MADS packages are even worth simulating.

23 · M6 · MADS · landing

MADS DSGE Model — scenarios, not a forecast

M6 MADS DSGE Model — landing screen

What MADS is

A New Keynesian DSGE scaffold (households, firms / Calvo, fiscal, Taylor, external sector) — a DSGE-lite model inside the same suite, calibrated from M3/M4 data.

When you come here

Only after M4 Semafor has set an alarm. MADS answers “what if we pull this lever” — not “what will GDP be in 2028.”

1995-Q1sample start
2029-Q4simulation end
39scenarios
HR · EU+ regional mapping
24 · M6 · model structure

Five blocks and calibration from the suite

Households

Consumption, saving, labour — Euler and labour supply.

Firms / Calvo

Sticky prices, mark-ups, cost pass-through into inflation.

Fiscal

Expenditure, taxes, debt and debt dynamics (NGT layer).

Monetary / Taylor

Interest-rate reaction to inflation and the output gap.

External sector

Exports/imports, competitiveness, CA and NIIP.

Calibration, not invention

M3/M4 data enter the calibration table (pillar). Scenarios and policy-mix timing are tied to the start quarter (start_q), so a shock can be dated, not merely “switched on”.

Workflow tabs

Model inputs · Scenarios and results · Econometrics · Scenario Ranking · Model structure · AI Insight + Help · Calibration. Manual: HR and EN.

25 · M6 · interactive · scenarios

Click a shock family — the instruments open

Two kinds: M4-recommended packages (tied to the red Semafor column, MIP and MMA variant) and free / custom what-ifs in the parameter editor.

26 · M6 · result

Δ vs Baseline — Croatia example

Positive

Competitiveness +0.79% GDP; external rebalancing +0.42–0.44%.

Almost neutral

Monetary normalisation +0.11% GDP, but +0.68 p.p. on rates.

Short-run cost

Fiscal debt adjustment −1.69%; composition −0.88%.

Trade-off

Credit de-leveraging: debt −9.47%, but GDP −0.36%.

Source: MADS policy brief for HR (Δ vs baseline by package). Success is not maximising GDP, it is relieving red while protecting yellow.

27 · M6 · limits

What MADS is not — and why that builds trust

Not an official forecast

The banner sits in the UI itself: educational / rough what-if model. No institutional projection, no obligation.

Not a MIP assessment

MIP and MMA package variants exist in parallel, but the imbalance assessment is the Commission’s, not MADS.

Not an institutional recommendation

The result is a Δ path under assumptions the user sees and can change — with AI Insight as a reading aid.

Output from M6

Δ vs Baseline for Y, u, π, CA, debt and NIIP · Scenario Ranking · short MADS report · policy brief M3→M6 · PPTX brief deck.

Why this is an advantage

A serious user does not want a tool that claims too much. They want a tool that says exactly how far it holds — and can then be cited.

28 · Publications · M5 Reports & News

From analysis to an artefact you can send

M5 Reports & News — landing screen
01

Comprehensive

Gold-standard PDF/HTML for 34 countries: TOC, M3 wide, Semafor, deep chapters.

02

Sector

Shorter pack: inflation/monetary, labour, fiscal, GDP, external, financial.

03

MADS report

Scenario vs baseline: instruments, horizon, Δ paths.

04

Policy brief M3→M6

One thesis, Semafor, recommended packages + PPTX brief deck.

Plus: MIP↔MMA system map (column 1 blue/orange), Sankey fullscreen by country and AI news on a fortnightly beat.

29 · Demo · 90 seconds

Country X in 90 seconds — from data to a recommendation

Six steps of 15 seconds. The same path an analyst actually walks: input data → ready-made indicators → premium tools → Semafor → scenario test → non-binding recommendations. Example: Croatia, policy brief M3→M6.

0:00–0:151 · Input data

Eurostat/ECB cube, filter before load, offline snapshot.

0:15–0:302 · Top indicators

M3: where the country stands and what misses the target.

0:30–0:453 · Premium tools

M4: the mechanism behind the signal, owning chapter.

0:45–1:004 · Semafor

Identification: what is red, what is protected.

1:00–1:155 · Scenario test

M6 MADS: a response to red, Δ vs baseline.

1:15–1:306 · Recommendations

Non-binding brief + deck for stakeholders.

Modules the demo touches

M1 OptimizerM2 Data HubM3 Top IndicatorsM4 PremiumM6 MADSM5 Reports

What the viewer gets

One diagnosis, one tested response and one document — no manual stitching of sources, no Excel between steps.

What the demo does not promise

Not a forecast and not an institutional assessment. All numbers are an illustrative MADS output for HR, marked as working and non-binding.

Press D to auto-run the demo flow (15 s per step) or click any step.

0:00–0:15 STEP 1/6
30 · Demo · input data

First question: which sample are we even looking at?

M1 Data Explorer — landing screen

What happens in 15 seconds

  • Select country X and the period — filter before load
  • Catalogue ~12,251 datasets; only the needed cube is taken
  • For a standing review: the offline snapshot (RDS/CSV) is already ready
  • Sources by series: Eurostat, ECB, and for NON-EU a proxy (WB, ONS, FRED)

Why this is not a formality

If the sample is uncontrolled, everything downstream is guessing. This is where you decide whether the later Semafor is even comparable with Europe.

0:15–0:30 STEP 2/6
31 · Demo · M3 Top Indicators

Where country X misses the target

GDP YoY 2.4%

Target > 2.5% — a slowdown, below the reference dynamic.

HICP 3.6%

Target < 2.5% — persistent inflationary pressure.

Unemployment 5.1%

Target < 4.5% — a mild rise versus the previous quarter.

Nowcast pulse −0.37

Target > 0 — a contraction signal for activity.

M3 shows the state and the gap from target. It does not yet say why — and deliberately does not give a composite alarm.

0:30–0:45 STEP 3/6
32 · Demo · M4 premium tools

Why this is happening — the mechanism, not a slogan

M4 Premium Macro — landing screen

Three chapters that open for this case

  • Fiscal → NGT & vulnerability, debt dynamics, CAB/CAPB: gap 2.54 p.p.
  • Monetary → Taylor / NGT and transmission: mismatch −4.16 p.p.
  • Credit / FCI → housing cycle and credit gap: FCI 0.31, housing segment mixed

Plus the short cycle

Macro pulse and nowcast/surprise confirm the direction (−0.37), and Compare places country X next to its peer group on EU27=100.

Each indicator = chart + table + AI insight

At the end of the block, a Sector Summary — text you can quote in the brief.

0:45–1:00 STEP 4/6
33 · Demo · Semafor identification

Semafor for country X: three red, three yellow

Fiscal NGT2.54 p.p.gap vs target < 1.5
Monetary−4.16 p.p.mismatch vs target > −2
Macro risk boardHeat / Distgreen / yellow mix
Inflation3.6%persistence
Labour market5.1%cost pass-through
FCI / credit0.31housing cycle
External balancepositivecompetitiveness trend

Red → which scenario

The fiscal gap opens MIP debt adjustment and MMA expenditure composition. The monetary mismatch opens normalisation and a Taylor tilt.

Yellow → what is protected

Inflation, the labour market and FCI are constraints, not the target of the measure. Every tested package is also checked on their direction.

Green → what you build on

A positive competitiveness trend becomes the counterweight to the short-run cost of consolidation.

Reading rule: red is solved first, but yellow must not be pushed into red in the process. Semafor is a priority map — not a European Commission MIP assessment, and not an automatic decision.

This is the point where a classic dashboard stops. MMA goes on: the red columns decide which scenarios are worth testing.

1:00–1:15 STEP 5/6
34 · Demo · answering Semafor through scenarios

M6 MADS: we test a response, we do not guess the future

What is tested for the red fiscal column

Two packages from the M4 recommendation — the MIP variant (debt adjustment) and the MMA variant (expenditure composition). Same model, same horizon, different dose.

What the test shows

  • Sharper variant: ΔGDP −1.69%, ΔG −5.97%, ΔL −0.77%
  • Softer composition: ΔGDP −0.88%, ΔG −2.59%, ΔL −0.42%
  • Competitiveness as counterweight: ΔGDP +0.79%
  • Monetary normalisation: ΔGDP +0.11%, rates +0.68 p.p.

Test conclusion

Consolidation is necessary, but it must be phased and combined with a package that contributes positively to growth — otherwise red eases and yellow turns red.

1:15–1:30 STEP 6/6
35 · Demo · non-binding recommendations for country X

Output: four messages you can send

01

Prioritise competitiveness

The only package with a clearly positive effect (+0.79% GDP) — structural reforms, productivity, export quality.

02

Phase fiscal consolidation

Necessary for sustainability, but spread over time and protect investment so the slowdown is not deepened.

03

Protect financial conditions

Do not loosen FCI too fast; macroprudential monitoring of the housing segment and the credit cycle.

04

Watch inflation expectations

Alignment of wages and productivity; avoid measures that further strengthen aggregate demand.

Artefacts from the same flow

Comprehensive/sector report, MADS report, policy brief M3→M6 and PPTX brief deck — HR and EN.

Document status

“Working, non-binding summary (MADS)”. That is how it stands in the generated brief — no pretence that it is an official forecast.

Measure of success

Not maximising GDP, but the direction of relieving red while protecting yellow.

90 seconds later: country X has a diagnosis, a tested response and a document for the meeting — with the model’s limits clearly marked.

36 · Audience · students

From catalogue to a seminar chart in 10 minutes

Students
  • Sees the whole pipeline — not “download a CSV from the web”
  • Filters teach Eurostat dimensions (geo, time, unit)
  • Sankey and the map for a macro story, not only a line
  • MADS shows DSGE-style scenario logic without MATLAB / Dynare
  • Manual HR/EN; UI in the language of the course
  • Mandatory attribution: source Eurostat/ECB, processing MMA

MMA is not a textbook. It is a laboratory in which you see how a series becomes an argument.

37 · Audience · research

Reproducibility and peer context

Researchers

Code and cache

Dataset code, filters, Final Table name, offline snapshot — the work can be repeated a week later.

EU27=100

The relative layer prevents a false comparison of absolute rates across different development levels.

Model limits

ARIMA/ETS and MADS are explicitly not an official forecast. A paper cites the tool as diagnostics.

Scenario analysis

MADS calibration and Scenario Ranking give a transparent frame for the robustness of the story.

38 · Audience · media

Newsroom speed, source discipline

Newsroom
  • M5 catalogue: LATEST HTML/PDF for the country in the news
  • Sankey brief by country + suite highlights after a refresh
  • One sentence for the headline, owning chapter for “why”
  • MADS packages give a measurable frame for “what if”
  • UI language: HR for a Croatian newsroom, EN/DE/FR/IT/ES for correspondents

A specialised economics desk gets a pack with a disclaimer, not a screenshot without context.

39 · Audience · government

15 minutes to a message — without false authority

Policy room

Flow for a cabinet / ministry / central bank

  • Home KPI (Europe’s direction) → M5 PDF of country X
  • Semafor: where the tension is (fiscal, monetary mismatch, risk board)
  • M4 chapter: the mechanism, not a slogan
  • M6 MADS: packages tied to red + free what-if
  • Policy brief M3→M6 + deck for the meeting

The same flow for 34+1 jurisdictions — a comparable language across ministries and central banks.

40 · Other users

Who else benefits

Think-tank / NGO

Compare radar + relative indicators for a peer narrative (V4, CEI, EA).

Consultants

The same pack for 34 countries: fast screening then a deep chapter only where hours are needed.

IFI / donors

USA + EU + candidates in one working language; explicit sources by series.

Operators

START_SUITE, weekly/fortnightly production release, gold QA, LATEST catalogue.

41 · SWOT

MMA’s position among tools

Strengths

The whole chain through to publication, including its own scenario model and smart chart recommendation. 6 UI languages. Reports and manuals in HR and EN. Offline-first. Honest disclaimer. Sankey and Semafor as its own language.

Weaknesses (by design)

Not a tick-by-tick terminal. Not the Commission’s official database. MADS is DSGE-lite, not institutional MADS. That is a conscious limit, not a bug.

Opportunities

Faculties, newsrooms, cabinets and think-tanks in 34+1 countries that need the same briefing language — without pretending to be Bloomberg or Eurostat.

Threats / substitution

A portal + Excel is still “enough” if the user does not see the value of the narrative. That is why the brief and the deck exist: so the end of the chain is visible.

42 · USP

Why MMA is hard to replace with a portal

Macro data lab

One language

From cube filters to Semafor and scenarios — the same countries, the same sources, the same disclaimer.

Diagnosis + artefact

A dashboard that does not produce a PDF/brief remains a screen. MMA finishes with a publication.

Scenario in-house

Few dashboards have their own DSGE-lite layer tied to an alarm from the same system.

Model honesty

Semafor ≠ MIP. MADS ≠ forecast. Relative ≠ absolute.

Smart chart recommendation

Rank 0–100 and TOP PICK from table shape; mini-models on Load Data, rank without drawings in Basic/Advanced.

43 · Documentation

A manual that follows the product

A single user handbook — HR then EN — with original Home and module covers, plus embedded M1–M4 and MADS manuals.

HR

MMA_SUITE_KORISNICKI_MANUAL.html — author’s language, operational detail.

EN

MMA_SUITE_USER_MANUAL_EN.html — for international users, reviewers, partners.

MADS manual

HR and EN version inside M6 — theory, calibration, scenarios.

In-app help

Help tabs and Rmd in the modules; the same theory as in M4 chapter Help.

44 · How to start

The first 30 minutes

1 START_SUITE.bat→ 2 Home, language HR/EN→ 3 M5 PDF of your country→ 4 M3 relative→ 5 M4 Semafor→ 6 M6 MADS scenario

Ad-hoc path

M1 HICP or GDP → M2 pivot → Basic or Sankey → export PNG with the source.

Policy path

Do not start from Explorer. Start from the report and Semafor. Explorer is for the question the report did not cover.

Scenario path

Semafor → M6: first an M4-recommended package, then a free what-if, then a MADS report or policy brief.

For a fast view of the whole chain: D starts the 90-second demo flow (slides 29–35).

Macro Mod Analytics
Macro Mod Analytics Connecting data. Creating insight.
Call

See country X.
Not just a series.

Macro Mod Analytics — a suite for those who need insight, not another screen of charts. 34+1 countries. 6 languages of control. Home + M1–M6. Manuals and reports in HR and EN.

Connecting data. Creating insight. Home :3837 · START_SUITE.bat

Slide map

Click = jump. Esc or O closes.