HUGO - Toll Data Collection and Business Utilization

Client Description

The National Tax and Customs Administration (NAV) is a governmental organization in Hungary responsible for the collection of taxes and customs duties, as well as enforcing tax-related regulations. Its duties include tax audits, providing guidance to taxpayers, overseeing customs procedures, and detecting financial fraud. The organization aims to improve the efficiency of the tax system and ensure fair contribution to public finances.

Project General Description

The modernization and digitalization of the Hungarian toll system is a crucial step in developing the country's infrastructure and efficiently managing tax revenues. This large-scale project involves the collection, processing, and analysis of ticketing and sensing data, which amounts to billions of records daily. The goal of the project is to establish a robust data management and reporting system that meets the strict requirements of the National Tax and Customs Administration (NAV) while effectively supporting auditing processes and decision-making.

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Government Sector
 / 
Data Warehouse
 / 
Risk Management
 / 
Internal Reporting Service
 / 
Tax Audit Area

Challenge

When designing the data structure, we took into account the data warehouse standards of the National Tax and Customs Administration (NAV), ensuring compatibility and ease of integration. The structure is flexible, allowing for future expansions and modifications in response to potential regulatory changes or the introduction of new data sources. The data model includes the structure of ticketing events, vehicle data, payment information, and other relevant data.

One of the primary goals of the project is to support NAV's auditing tasks with efficient and easily interpretable reports and analytical tools. These tools enable tax auditors to quickly identify anomalies, patterns, and potential irregularities in toll payments.

A key and innovative element of the project is the mapping report feature. This visualization tool allows NAV's auditing staff to analyze toll data in a geographical context, identifying traffic patterns and potential irregularities.

How we helped?

  • Scheduled Implementation of Data Download Logic
  • Data is downloaded from various sources using Oracle Service Bus, followed by validation, transformation, and loading into the data warehouse, taking into account performance and security requirements.
  • Data Structure Development
  • A well-structured data model has been created in the staging area and the data warehouse to support efficient data processing and storage.
  • Data Cleaning, Normalization, and Storage
    • - Data Cleaning: Identifying erroneous, incomplete, or redundant data and establishing appropriate responses.
    • - Normalization: Minimizing data redundancy and ensuring data integrity.
    • - Storage: Developing and creating appropriate data structures for efficient and secure data storage.
  • Implementation of Data Warehouse Loaders
  • Creating and establishing data warehouse loaders for all logically related data units. The design of ETL (Extract, Transform, Load) processes ensures efficient and reliable loading of data into the warehouse. Daily data refresh mechanisms have been implemented to ensure up-to-date information.
  • DataMart and Reporting
  • Designing and developing a data mart for the data. Data has been presented through Oracle BI reports.
  • Visual Representation of Data on Maps
  • Creating maps to visualize toll data under various conditions.
  • Oracle Service Bus
  • Oracle BI
  • Oracle Database