Competitive Economy Program (CEP)

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:

• ​Identify requirements for the design of a BIM for the SCS;
• Guide the implementation of a separately selected (3^rd-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.