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Product Briefing

SharkGovernance is a data governance platform product independently developed by Beijing Advanced Digital Information Technology Co., Ltd. The platform is positioned to promote enterprise business standardization, continuously optimize data assets, explore and enhance the business value of data assets, improve data quality, improve information resource integration, realize enterprise data operation and improve business management efficiency. The platform mainly starts with data assetization, data standardization, data standardization, management process and other aspects, and provides data asset management, metadata management, data standard management, data quality check, data problem management and other tools to gradually improve data quality and explore data value.

Core Functions

Unified Metadata Management

Metadata management is the foundation of enterprise data governance. Enterprises take metadata as the starting point for data governance to help enterprises better manage data assets, clarify the relationship between data, and achieve accurate and efficient analysis and decision-making. Metadata management centers on metadata automatic collection, metadata management, metadata analysis and metadata service, and provides unified metadata view for enterprise users.

Data Standard Management

Data standard management provides a set of standard data naming standards, data definition standards and data type definition rules for the data dispersed in each system, and uses the systematic control process to manage the data standard results. so that the usage of terms can be unified, the consistency of enterprise data can be maintained, the correctness and the quality of the data can be ensured, and the development efficiency can be improved.

Data Quality Management

The data quality management takes data problem discovery, data problem analysis and data problem solving as the main line, provides functions such as data check engine, check rule configuration, check task monitoring, check result query and data quality report, forms a closed loop of data quality improvement from data quality problem discovery to data quality problem raising and data quality problem solving, and helps enterprises continuously improve data quality and explore data value.

Data Asset Management

The purpose of data asset management is to solve many problems faced by enterprises in the process of releasing data value, and to realize the purpose of data availability, availability and convenience through systematic management, so as to realize the maximization of data asset value.

Product Structure

Product Value

Unified Data Standard

Formulate unified enterprise data standard specification, and provide data standard analysis template and unified process for publishing and disabling data standard.

Unified Metadata

Through automatic metadata collection, enterprise metadata information is managed uniformly, and technical and business metadata views are provided to facilitate different data query and metadata information use.

Improve data quality

Data quality problems such as data redundancy, data missing value and data conflict can be timely found and effectively solved.

Secure Data

Effective data security management mechanism, establish effective control over the access to sensitive information, private information and confidential information to make them desensitization, decryption and compliance, and even create potential reputation and legal risks for enterprises.

Discover the Value of Data

Find data value through asset data analysis + tag data query, micro portrait and other visual self-service analysis forms.

Customer Cases

A Rural Commercial Bank - Data Asset Management Platform

A bank - data management and control platform

A Rural Commercial Bank - Data Asset Management Platform

The data asset management platform realizes the construction of the data asset management system of a rural commercial bank, completes the construction process of existing data information accumulation, knowledge deposition, intelligent decision-making assistance and value addition, and gradually implements the data asset strategic objectives of "business dataization", "data assetization", "asset productization" and "element marketization". The functional modules of the data asset management platform construction mainly include: platform homepage, data standard management, metadata management, data quality management, data asset management, data model, data security, master data, data assessment, data requirements, process management, system management and other data governance fields and data asset management functions.

A bank - data management and control platform

Starting from the top-level design, a bank’s data management and control platform integrates the data governance structure, data governance rules and data management system tools into a three-dimensional integration. With the guidance of regulatory standards, driven by data quality and the opportunity of business development, the data management and control platform of a bank creates a “intelligent” data governance system tool. The project integrates the data governance concept of a bank, i.e., “obvious and willing to obtain, and thick accumulation and thin issue”, adopts the innovative governance mode of “operational data governance, to promote the use of treatment, and to promote the use of governance”, to address the industrial pain points of “invisible”, “unreadable”, “unavailable” and “unusable” of data.