Competitive Economy Program (CEP)

Client

Chemonics International

Country

Ukraine

Origin Of Funding

USAID

Start Date

08.01.2020

End Date

15.10.2020

Region

Eastern Europe and Balkans

The main objective of the project is to create a business intelligence module (BIM) for the State Customs Service (SCS) of Ukraine, and to enhance its risk analysis system.

More specifically, we will undertake the following activities:

  • ‚ÄčIdentify requirements for the design of a BIM for the SCS;
  • Guide the implementation of a separately selected (3rd-party) service provider that has to deliver development works, software licenses and maintenance, which together are intended to build, test, train, and launch the business intelligence platform;
  • Obtain relevant data, analyze available data sources, initial data load, and prepare conclusions about data quality and conformity;
  • Assess data availability, quality, and conformity with the BIM’s purpose;
  • Secure decision by SCS officials about the finalized scope of production of the applications;
  • Develop data extraction algorithms, as well as blending, mapping, and consolidating data from the sources provided by the SCS, where required;
  • Place the results in the designed data model, which will then be used to build analytical applications comprising dashboards, analysis, and reporting and self-service tools;
  • Provide sizing and handling installation of the business intelligence platform in the technical environment provided by the SCS;
  • Enhance the automated system of analysis and risk (ASAUR) management to decrease the number of containers subject to physical inspections and allow Ukraine`s private sector, including SMEs, to benefit from better border management through:

    – Evaluating the SCS’s automated system of analysis and risk management;
    – Analyzing the risk factors;
    – Identifying functionality flaws; and
    – Assessing the legislative gaps.

  • Upgrade the SCS’s ASAUR system based on the conducted analysis as well as a review of customs declarations;
  • Support the SCS to detect, address, and forecast customs violations;
  • Strengthen the capacity of the SCS and boost its internal procedures in data collection and analysis; and
  • Contribute to making the SCS’s decision-making process data-driven and strongly focused on transparency and commercial impact.