Ruizhi - Data Governance Tool of Esensoft

Master Data Management Tool

Master data management tools provide enterprises with a centralized platform, allowing for more effective integration, cleansing, storage, and publication of data through centralized management, thereby ensuring data accuracy and consistency. Master data management tools offer the following key features:

Master Data Model

Helps users quickly establish models or reference templates, achieving comprehensive construction of master data models through view management, form design, approval, and more.

Master Data Maintenance

Add, modify, freeze, unfreeze, and batch process master data, automatically detect master data similarity, and ensure data operations and records are traceable.

Master Data Distribution

Provides built-in master data management interfaces for external use, covering most enterprise application scenarios, ready to use, while the tool supports functioning as a data transfer station to achieve unified distribution of master data.

Data Standard Management Tool

Achieve maintenance and analysis of the labeling status of data standards across the organization. The data standard management tool provides the following key functions:

Data standard management

Add, modify, discard, and batch process data standards.

Version control

Support querying historical versions of data standards and conducting version comparisons.

Labeling verification

Automatically verify and generate detailed verification reports based on the mapping of the data dictionary and standard items.

Metadata management tool

Metadata management tools are the foundation for building enterprise-level data links, supporting lineage and impact analysis, and displaying data maps. Metadata management tools provide the following key functions:

Metadata collection

Automatically collect metadata from business systems; interface with management systems to automatically respond to system changes.

Maintenance and versioning

Support the addition, deletion, modification of metadata and access control.

Lineage analysis

Display the source, transformation, and subsequent processing logic of field-level metadata.

Metadata Retrieval

Supports multi-dimensional retrieval, precise querying by metadata attributes and keywords, with results displayed in lists/graphs showing key information and associations.

Metadata Quality Inspection

Automates the inspection of metadata completeness, accuracy, consistency, etc., marking problematic metadata and generating reports.

Data quality management tool

To effectively monitor and resolve data quality issues, data quality management tools are needed. Data quality management tools provide the following key functions:

Rule Library

Custom configuration of inspection rules, automatic or manual generation of rules, supports script writing.

Inspection execution

supports manual, automatic, and event-triggered inspections, custom range and cycle, generating a list of issues.

Issue distribution

multi-level cross-institution distribution of issues to designated personnel, supporting feedback and handling remarks.

Data download

export issue lists according to rules.

Analysis tracking

integrates OA processes, tracks and manages issues, and automatically escalates alerts.

Data asset inventory management tool

Data asset inventory management supports users in classifying, retrieving, counting, monitoring, and servicing data assets, ensuring that data assets are fully utilized. Provide the following key features:

Classification and Entry

Flexible customization of classification system, batch entry of asset information.

Retrieval and Analysis

Multiple retrieval methods and comprehensive analysis presentation, quickly locate target assets.

Monitoring and Management

Monitor asset status, full lifecycle management and anomaly response, asset-level permission control to ensure asset security.

Services and Operations

Provide access, sharing, integration, and invocation services for data assets, promoting the maximization of data value.

Data security management tool

Data security management tools help organizations comprehensively and efficiently manage their data assets, ensuring the security, integrity, and availability of data during transmission, and achieving comprehensive monitoring of the data lifecycle. The following are key features:

Data encryption

Use advanced algorithms to encrypt sensitive data during transmission.

Data access control

Implement classification management and separation of duties to ensure secure access to data.

Data backup and recovery

Regular automatic backups, quick data recovery, and access log recording.

Cross-platform support and integration

Supports multi-platform integration, provides APIs for easy collaboration with other systems.

Data lifecycle management tool

Data lifecycle management tools provide the following core functions:

Data destruction

Supports automatic triggering of destruction processes according to preset rules, offering a choice between simple destruction and advanced destruction modes.

Data archiving

Supports automatic triggering of archiving processes according to lifecycle stages, providing tiered storage configuration options, and supporting custom archiving formats and storage media.

Audit tracking

Integrates a log analysis system to visually present data flow trajectories and sets up automatic alerts for abnormal operations.

The metrics management tool

The metrics management tool offers the following key features:

Metric definition and classification

Supports custom metrics and classification for quick search and management of metrics.

Metric acceleration calculation

Utilizes efficient algorithms and parallel processing technology to enhance metric calculation speed and improve business response efficiency.

Metric lineage

Visual representation of the data sources and calculation processes of metrics.

Indicator semantic analysis

Automatically parse the meaning and context of indicators through natural language processing and machine learning techniques.