Budget Planning and Management

 

This budget and performance management system is designed to automate planning processes carried out by municipalities. It is particularly useful for preparing, approving and monitoring plans of different durations, including budget plans, based on defined evaluation criteria.

The system also supports the automation of other specific plans, such as investment or quality improvement plans. It covers their creation, approval, monitoring and oversight by the municipality and its subordinate institutions.

Funkcijos

  • Planning and evaluation of development and operational plan outcomes
  • Preparation of revised funding forecasts across all financing sources
  • Drafting of the budget, including revenue and expenditure planning
  • Preparation of investment, quality management and other plans
  • Collection, registration and analysis of statistical data, both planned and actual
  • Preparation of reports and summaries

Privalumai

  • Automated, standardized and structured data entry and collection
  • Efficient data exchange capabilities, including with subordinate institutions
  • Duplicate data submissions are identified and eliminated
  • Clear management of evaluation criteria
  • Flexible settings for data aggregation and structuring
  • Effective tools for data analysis

Why choose this system?

This system computerizes the financial planning process. It ensures consistent adherence to shared rules, enables control over all stages of plan development, and automatically consolidates input from all participants. This significantly reduces time spent and improves the quality of strategic plans.

All classifiers and budget metrics within the system are standardized. Structured data processing helps identify and eliminate incorrect, outdated or non-existent entries.

The platform allows users to quickly generate budget plan summaries at any desired level. Automatic updates of budget execution data make it easy to monitor plan implementation, compare actual results with planned figures and detect discrepancies across different dimensions, without additional effort.

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