Serving corporate customers nationwide
Unify products, services, customers, suppliers, employees, organizations, prices, coding and business rules, and reduce duplicate entries, definition conflicts and cross-system data breakpoints through verification, permissions, review and change records.
Start with high-frequency data objects and gradually connect sales, supply chain, finance and operational decisions.
First determine which data needs to be shared across departments, and then establish fields, coding, status, permissions and maintenance responsibilities by object. Each module can be launched independently or gradually expanded around the same master data model.
Unify the basic information of products, SKUs, services, categories, specifications, units, pictures, status and prices, and provide the same identification for quotations, orders, procurement, inventory and accounting.
Centrally maintain company names, contacts, addresses, settlement information, labels, qualifications and cooperation status to reduce duplication and conflicts caused by separate maintenance of sales, procurement and finance.
Maintain companies, departments, positions, employees, reporting relationships and data scope, and provide a stable organizational foundation for process allocation, approval, business ownership and authority control.
Unify numbering rules, regions, currencies, units, status, reasons, types and other public dictionaries to allow different systems and reports to use interpretable and reusable data definitions.
Solidify field names, types, required conditions, uniqueness, coding rules, status changes and maintenance responsibilities in the system to avoid multiple names, numbers or statistical definitions for the same object in different departments.
Basic data quality does not rely on one-time cleaning. The system should continuously perform format, scope, uniqueness and correlation verification during the input, import, modification and release processes, and hand over issues that require judgment to the responsible person for review.
Configure permissions based on data object, organization scope, and operation type. When key fields or cross-system data change, the application, review and release process can be started, and the values before and after the change, operator, time and reason can be recorded.
Formal base data can be provided to other business systems through controlled import, scheduled synchronization, or confirmed interfaces. Before construction, it is necessary to clarify the main data responsible system, synchronization direction, field mapping, failure retry and exception handling boundaries.
Build daily workflows in stages around roles, data, approvals and exceptions. For existing systems, assess integration and migration limits first; for new services, start with one complete workflow.
First clarify the data objects that need to be unified, current issues, responsible departments, coding rules and system dependencies, and then determine the scope of cleaning, migration, permissions and interface implementation.
The enterprise basic data management system is used to uniformly maintain products, services, customers, suppliers, employees, organizations, prices, coding and business rules used by multiple business processes. It provides a consistent data source for sales, supply chain, finance and other systems through unified fields, unique identification, permissions, audits and change records.
ERP and CRM are usually responsible for specific business processes, and basic data management is responsible for the data standards and master records that these processes rely on. The basic data system can be built independently or connected to existing ERP, CRM, financial or e-commerce systems, but the interface scope needs to be confirmed based on the actual system capabilities.
Data that are reused across departments, have a high impact of errors, and are updated frequently are typically processed first, such as product codes, customer and supplier files, organizational employees, prices, units, regions, and status dictionaries. Final priorities should be determined based on business issues, data quality, and system dependencies.
First confirm the encoding object, uniqueness range, length, classification meaning, pipeline method and historical encoding compatibility requirements, and then decide whether the encoding will be automatically generated by the system or entered manually. The coding should remain stable, and business attributes that are prone to change should not be directly embedded in permanent coding.
Problems are identified through verification of required fields, format, range, uniqueness and association, and then combined with matching rules and manual review to complete the merger or correction. The original data, cleaning results, responsible person and rollback plan should be retained before going online to avoid direct overwriting and irrecoverability.
Can. Before implementation, it is necessary to take stock of file and system sources, complete field mapping, coding conversion, deduplication, missing processing and sample verification, and then import in batches and check the quantities and key fields. Migration scope, data quality responsibilities, and rollback methods should be confirmed in advance.
View, add, modify, review, publish, and deactivate permissions can be configured by data object, organization scope, and operation type. Application and review processes can be set up for key data changes, and the values before and after the change, operator, time and reason can be recorded for easy traceability.
The cycle time depends on the number of data objects, field and coding complexity, historical data quality, permission approval, number of interfaces and acceptance scope. Usually, one or two high-frequency objects are first selected to complete the end-to-end workflow of standardization, cleaning, import and use, and then gradually expanded.
Bringing the existing Excel, field descriptions, coding rules and related systems, we will jointly confirm the first batch of data objects, cleaning and migration scope, permission process and interface boundaries.
