Gain access to resources and project updates

Register or log in to save your details for future use
First name
Last name
Business email
Company name
Job title

TM Forum will be processing the above information, with the assistance of our service providers located within and outside the European Union, to manage your registration to this event or report download, as well as to keep you informed about our services and products, future events and special offers, the organization of events, providing training and certification, and facilitating collaboration programs. Privacy policy

I wish to receive further information from the Catalyst Team about their products and service by electronic means. Check the "Team Members" section of this Catalyst Project to review the companies that will receive your information. Companies may join the project in the future, so please check back periodically for any updates

All projects

DataFabric-based intelligent data sharing

URN C23.0.517
Topics AI (Artificial Intelligence), Business assurance, Data management

51% reduction in data operational costs. <br>Automate 55% of your data development process. <br>Drive 21% increase in business revenue.<br>

Data management services to industry require uninterrupted production 24/7, with extremely short response times – which at a time of massive yet rapidly-growing datasets poses a considerable challenge to CSPs. This Catalyst addresses these challenges by realizing closed-loop integration of data production, development, and governance. This removes operational barriers, reduces costs, and increases the value of data through sophisticated knowledge maps. This Catalyst addresses these challenges by realizing closed-loop integration of data production, development, and governance. This removes operational barriers, reduces costs, and increases the value of data through sophisticated knowledge maps. The Catalyst includes the following components: * A comprehensive data management system that can manage heterogeneous massive data and visualize data assets. * A data governance system that breaks through the isolation and barrier of multiple links and businesses. * A knowledge map that can be used to rapidly position and apply data assets.


Welcome to our catalyst! ------------------------ The project leverages the DataFabric concept to construct an intelligent data sharing system for data assets, focusing on addressing challenges such as difficult data asset acquisition, poor data asset quality, low data asset utilization efficiency, and slow data asset monetization. Build a data sharing platform assets to breakthrough from data acquisition to assign to the whole process of use, by swiftly establishing data connections. It provides interlinked, convenient and automatic functional applications for the whole life cycle of data assets, freeing developers' hands, enhancing business demands, expanding the scope of the digital market, and enabling the value of data. This, in turn, allows more talents to engage in creative endeavors. After the establishment of the project, China Unicom Software Research Institute organized detailed research and analysis of the status quo of data assets, overall plan design, software detailed design ,coordination work with other partners and other work . CAICT is responsible for the formulation of data asset management methods.BONC is responsible for software platform design and architecture, and completing the development and implementation of data assets and data integration functions.Baidu is responsible for providing intelligent algorithms and search engine technology for the platform, using natural language processing and machine learning to conduct in-depth analysis and index of data. AsiaInfo Technology is responsible for the construction and implementation of data asset operation functions. This project has achieved the following goals and practices: 1.Unified management of BOM multidomain data assets Open up organizational, network, and technical barriers to achieve peer-to-peer connection, build data asset catalogs and data asset mapping, and complete the main business BOM three-domain data online can be seen, checked, managed, and available. The data asset screen displays asset lifecycle data from multiple dimensions such as asset management, asset scenario operation, asset subscription, and asset usage. The screen fully demonstrates the massive data processing and analysis capabilities of the project, which includes over 47000 multidomain Data assets, 510PB storage capacity, over 3800 high-value assets, over 86000 asset references, over 30000 asset subscriptions, orver 11400000 asset push times, over 87% timeliness rate of assets push. At the same time, based on the timeliness and scenarios of frontline personnel usage, asset standardization and scenarioization were promoted through business scenarios, and more than 4000 business scenarios and 14000 customer view scenarios were summarized for frontline empowerment. 2.Building an intelligent asset catalog Utilizing technologies such as data virtualization, integration capabilities, cross-platform deployment, and orchestration to enable rapid display and retrieval of data through DataFabric. Employing knowledge graphs and artificial intelligence to achieve intelligent recommendations for data assets, transforming the traditional approach of people searching for data to data finding the right people. The use of this entire service is no longer limited to the PC. We also provide mobile services, enabling employees to grasp data dynamics anytime and anywhere, allowing data to flow at their fingertips, and delivering flexible and efficient data value transmission. 3.Integrating standards, development, governance, and operations into a unified workflow Based on the idea of DataFabric's data architecture, it builds an asset management product system to provide managers, business personnel, and developers with full-process control and openness of asset management, release, subscription, use, evaluation, and downgrade, and realizes a unified management system for data assetization. Data asset developers can develop new assets on the platform or perform secondary development on acquired data assets. With the predefined data standards on the platform, they can generate data models with a single click. Through data integration tools, they can smoothly carry out logical transformations and mappings for data processing. Meanwhile, data producers can set up and monitor processing tasks on the platform, leading to the generation of a complete data asset processing workflow within the platform. Data asset quality is of utmost concern to everyone. Data producers can ensure the timeliness, completeness, accuracy, reasonableness, uniqueness, and consistency of data through quality management. Ultimately, a data quality report is generated to guide developers and producers in quality control. Data users can also focus on the reliability of data quality, facilitating necessary quality avoidance and analysis. Data assets that pass quality validation can be published on the platform to meet the queries and usage needs of users.

Asset Catalog

Hot Data Assets

Asset Catalog Retrieval Function

Asset Catalog

Asset Development

Process Scheduling

Data Quality Management

Table Structure Design

Asset Operations

Subscription Analysis

Trend Analysis

Operations Analysis

Asset Screen

Data Asset Screen

Asset Video

Project Introduction Video

Mobile Asset Details

Mobile Asset Catalog

Joint development

Meeting communication

Contact team

Email the members of the Catalyst team to request more details.


Team members

AsiaInfo Technologies (China), Inc. logo
Beijing Baidu Netcom Science Technology Co., Ltd. logo
Business-intelligence of Oriental Nations Corporation Ltd. logo
China Academy of Information and Communications Technology(CAICT) logo
China Unicom logo

Related projects