A foreign-owned FMCG company branch in China, founded in 1995, it is a leading enterprise in China's direct selling industry. The company is mainly engaged in nutritional health products, beauty cosmetics, home care and personal care products, and has an extensive network of marketers and a nationwide logistics and distribution system.
Project Background
During the digital transformation process, its IT asset management faces the following challenges:
- ragmented asset information: Marketing systems, e-commerce platforms, logistics systems, etc. maintain asset information independently, with no unified management, resulting in inconsistent asset data.
- Difficult change management: Frequent system changes are not synchronized with CMDB updates, and the true state of the IT environment is not reflected in real-time.
- Lack of relationship mapping: The lack of complete relationship mapping between the application and the system affects the efficiency of troubleshooting and impact analysis.
- Inadequate data support: The existing CMDB cannot provide accurate data support for automated operations and maintenance, which affects operations and maintenance efficiency.
Project Solution
- CMDB Data Modeling: Establish a unified asset information model to achieve standardized management of asset information from marketing systems, e-commerce platforms, logistics systems, etc.
- Automatic discovery of infrastructure: Use automated tools to discover and collect information about infrastructure assets such as servers and network devices in real time, ensuring the accuracy and integrity of asset data.
- Automatic discovery of application systems: Automatically identify and record the configuration information and dependencies of application systems such as marketing systems and e-commerce platforms, and improve the application relationship mapping.
- Automatic discovery of middleware: Automatically obtain middleware configuration information, including versions, deployment relationships, etc., to enhance the comprehensiveness of asset information.
- Automatic discovery of databases: Automatically collect database instance and configuration information to improve database asset information.
- Automated data support: Provide accurate asset data support for scenarios such as automated deployment of marketing systems and automated expansion of e-commerce platforms.
- View relationship mapping: Create a complete relationship mapping of the application system to improve the efficiency of troubleshooting and impact analysis.