Overview

The basic data management system for petroleum sales business takes collaborative application operation as the main line and optimized information management as the core. It centrally manages the basic data of petroleum sales enterprises such as gas stations and oil depots, builds a flexible and agile data support application platform, and provides basic data support for various information systems.

function

The functions of the data application support platform include four modules: data collection and access, data storage and conversion, data access and push, and platform support and monitoring.

• Data collection and access: Implement the management of relevant control parameters during the data collection and access process, and handle abnormal data that occurs during the data collection process through the console or management methods.
• Data storage and transformation: Establish the core data model and unified naming conventions for the data application support platform. Establish data conversion rules to maintain and manage conversion rules in various data conversion tools such as ETL. Based on the definition of data conversion rules, data conversion converts collected data into standardized data that meets platform requirements, serving as the basis for data publishing and reprocessing.
• Data access and push: Data access services and push provide service support for various business application systems to access and push master data, archive data, and business data.
• Platform support and monitoring: Platform support includes organizational and permission management, permission management, role management, and system user management; Monitoring mainly realizes the monitoring and management of ESB data access, monitoring of data access, and monitoring of business data writing.

feature

Data sharing

Build an enterprise service bus architecture that provides connections between service providers and consumers, enabling integration protocol conversion and interoperability between services accessed through the bus.

data standardization

Carry out unified database governance and design, strengthen semantic standards for core data resources, form enterprise core data resource model standards, and standardize and integrate data from various business systems.

Data integration

Build a data warehousing and sharing platform, and rely on the enterprise service bus to collect, forward, process, actively push, and apply data according to standards, achieving integration at the raw data level of the enterprise.

Application collaboration

Conduct comprehensive decision analysis for different management levels and departments with different responsibilities, and provide data support for intelligent integration strategies.