5.6 Pipeline of technical modules

Quantitative pipeline characteristics

## > *Pipeline quantitative characteristics available when connected to the data server.*
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## > *The pipeline includes computational nodes with datasets and processing functions organized in a unified targets network.*

5.6.1 Data collection module

The data collection module consists of:

connection via REST API to the following data sources:
official statistics (municipal, regional, and federal)
Federal Tax Services (balance sheets from 2012 to 2021)
processing hierarchical data obtained from external sources:
official statistics (input-output matrices, information on household income, consumer price index)
Federal Customs Services (volumes of import and export)
Central Banks (refinancing rate, balance of exports and imports, US Dollar exchange rate)
information about registered enterprises
information about small and medium-sized businesses
state, regional, and municipal budgets
investment program

5.6.2 Data normalization module

A data normalization module consisting of the following nodes:

bringing data to the directories of the Digital Twin database
eliminating duplicates
eliminating gaps (recovery) in data series
bringing data sets to a unified format sufficient for further estimates
normalizing data on investment projects

5.6.3 Modeling and forecasting module

The modeling and forecasting module consists of the following nodes:

calibrating demographic model parameters based on actual data
building demographic forecasts
calibrating the parameters of the macroeconomic dynamics model
building inertial forecasts of macroeconomic indicators
building transition matrices from observed indicators to eigenvectors (principal components) and vice versa
building correlation matrices linking changes in regulated indicators with changes in target indicators over time
assessments of generalizing and relative indicators of socio-economic development
calculation of matrices of intersectoral balances, including matrices of direct production coefficients, matrices of multipliers, specific household consumption, and budget expenditures
detailing and calibrating intersectoral balance sheets, taking into account actual accounts reports
estimating projection-based intersectoral balances based on forecasts of macroeconomic indicators, matrices of multipliers, and specific household consumption and budget expenditures
estimating interterritorial balances, including indicators of passenger and cargo flows
estimating financial models for investment projects (preparation of project passports)
estimating the impact of projects, portfolios, and programs on indicators of socio-economic development
estimating the investment development of territories (taking into account the implementation of investment projects and other management decisions)

5.6.4 Results preparation modules

Result preparation modules consist of the following nodes:

transformations and converting of the data sets to the format of the data consumer
preparation of separate data segments
preparation of dashboards
preparation of analytical reports on socio-economic development
preparation of technical reports on completeness and inconsistencies in data