Ministry deployment
One ministry, its sector models, its data and its users, linked to the macro-fiscal frame and the budget rather than standing alone.
What it contains →Institutions come to EDIS from four directions: as a government body with a mandate, as a sector with a plan to cost, as an organisation with a class of question to answer, or as a government deciding how to deploy the platform. All four reach the same models — this page is the route in for each, from the first question to a national deployment.
The same model estate, entered from whichever direction matches how your organisation is actually structured.
Ministries of Finance, planning and sector ministries, central banks, statistics offices and whole-of-government deployments — the workflow each one actually runs.
See the institutions →Sixteen sector and cross-cutting sheets, from macroeconomy and budget to health, energy, transport, climate, poverty and MEL — each on one shared framework.
See the sectors →Development banks, development partners, universities, research institutes, consulting firms and the private sector — the problem, the capabilities and the licence.
See the institution types →How EDIS is actually stood up in a country: one ministry, several institutions on a governed estate, or the national platform — with configuration, integration and support.
See the deployment tiers →Workflows, not feature lists. Each of these is a chain of models that starts with a question a real institution has to answer and ends with a decision it has to defend.
The envelope, the ceilings, the appraisal and what the budget buys. FINEX sets the macro-fiscal frame, MTEF allocates it, PIMAPS ranks the pipeline, the Budget Output Engine says what the allocation produces, and CDCGE closes the economy on the result.
The Finance workflow →Macroeconomic forecasting, inflation, the external sector, financial conditions and monetary policy scenarios, with CDCGE for the economy-wide closure and a research workspace behind it.
The Central Bank workflow →National accounts, household surveys, administrative data, quality control and the calibration inputs every model downstream depends on — published through governed data APIs rather than emailed spreadsheets.
The Statistics workflow →The national development plan costed against the MTEF, the public investment pipeline appraised on a common basis, sector plans reconciled to the envelope, and MEL reporting what was actually delivered against what was promised.
How a deployment runs →One sector’s model, data, costing and investment pipeline: energy least-cost planning, health service coverage, education cohorts, agricultural productivity, transport networks or water. Linked to the budget and to CDCGE rather than standing alone.
Pick the sector →Ministries, agencies, the statistics office and the central bank on one national configuration, with role-based access, a national data warehouse connection and national dashboards.
The national platform →Sector models share a unit-cost library, a spatial layer and an economy-wide closure, so a health question and an energy question are answered on the same basis and can be compared inside a single budget decision.
Ten institution types, each with the problem EDIS is meant to solve, the capabilities that address it, the questions it answers, the models behind them, the outputs produced and the licence required.
An institution can begin with one analyst and grow to a national platform without changing tools or rebuilding its data integrations. Each tier is licensed as a configured estate rather than as a number of logins.
One ministry, its sector models, its data and its users, linked to the macro-fiscal frame and the budget rather than standing alone.
What it contains →Several institutions on one governed estate, so finance, planning and the sector ministries argue from the same numbers.
What it contains →The full model estate configured for the country, whole-of-government access and the national data warehouse connection.
What it contains →National data, model calibration and baseline validation against published outturns.
Scoping, data integration, institutional setup, training, testing and acceptance.
Governed APIs and connections to the budget, statistics and sector systems already in use.
Quotes, proformas, proposals, framework agreements and development-partner procurement.
Deployment, configuration and implementation Institutional pricing
A demonstration is arranged against your country, your sector and a question your institution is actually facing.