Facilitating Trade:
Improving Customs Risk Management Systems
In the OIC Member States
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 Operational or Business Interoperability - includes the business strategy, policies, legal
and organizational elements that define the interactions between agencies;
 Information Interoperability - defines how information is to be shared; definition of the
components that agencies use to align document payloads and business processes.
Components include risk indicators, taxonomies, data dictionaries, etc.;
 Technical Interoperability – elements that include communication protocols, security
standards, messaging standards, share infrastructural resources and services.
Search Engines - the CRM needs a search capability that is not limited to the CDPS, but one that
covers all data layers in the customs (LE IT system, Enterprise Resource Planning, Appeal
System, etc.) and external data (other LE Agencies, SW), social networks (Facebook, Twitter,
etc.). The possible search engines (structured, unstructured data and content
management) applicable to Customs are:
Full-text search combined with Boolean queries indexes87 any document or textual content to
add fast, accurate retrieval of information to internet/intranet content management
applications, ODBC compliant databases, IMAP mail servers, HTML documents on the intranet,
files on disk and news services (RSS), etc. It should index content stored in file systems,
databases, or on the Web. Full-text search allows text searches to be combined with regular
database searches in a single SQL statement. It should find documents based on their textual
content, metadata, or attributes.
Data Warehouse / Business Intelligence BI system has search possibilities across dimensions,
not limited to enforcement data. The LE IT Systemmust be integrated into the DWso the BI layer
will provide valuable search/analysis services.
CRM Report and Analysis Services
The following list covers some key components that are needed for proper reporting services;
 Delivers consistent information across all types of report output;
 Can be personalized and targeted;
 Enables collaboration across users with support from the ICT Department;
 Provides access via email, portal, files, content, search and mobile devices, etc.;
 Search and analysis of multiple dimensions of information;
 Performs complex reports and scenarios easily and quickly;
 Gets to the “why” behind trends to reveal symptoms and causes;
 Moves from summary level to detail levels of information effortlessly.
Data Warehouse - the current setup of the IT Systems within the OIC MS CA produces complex
ICT administrative tasks. The application and inquiry system shall be flexible, installed and
stored within an enterprise in multiple data storage systems (subsystems) that are centralized,
heterogeneous and autonomous. Therefore, Data Warehouse will provide a centralized
environment and should be given a different treatment from the normal application
implementation. It’s necessary to separate the operational data store (ODS) from analysis data
(DW) since the data will be not significantly changed with the transferring and transmitted the
data in the warehousing system. The analysis phase of building a DW can be done through a
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