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Current status of project management: Have you, who are working directly on projects, had such experiences? At the end of each month, a large amount of data needs to be submitted, and these reports are mostly similar in content but vary in format. Have you had such an experience as someone in the company’s management team? A great deal of effort is required to collect data for various projects, and the data comes in many different formats; moreover, a lot of time is needed to process this data. Have you had such an experience in a decision-making role at a company? Every time an analysis is to be conducted, data is always missing; the data I want to see is not the same as the data I actually get.
This post was last edited by The wise are enlightened on 2020-12-31 at 14:10. The project comprehensive management platform is an integrated management system that focuses on engineering project management, aims to reduce project management costs, and enhances the capabilities for processing and analyzing business data. The platform implements a three-tier management structure for projects, facilitates seamless communication among internal functional departments, secondary units, and project teams, standardizes enterprise-level and project-level big data analysis methods, and provides data support for project process management and corporate decision-making. Its significance lies in the fact that, as an enterprise-level big data platform, the project comprehensive management platform focuses on unlocking the value of data and leveraging its potential, thereby turning data into a new driving force for corporate development.
Platform advantages: 1. Focus on business operations and data generation – Some of the data on the platform can be generated directly by the business modules; project staff only need to carry out the relevant business tasks, and the platform will automatically generate the required data. 2. Single entry, automatic processing – The same data is entered only once; the platform then automatically transfers it to the relevant business modules, where it is processed and used to generate reports required at various levels. 3. Transparent information and full sharing: All data is interconnected, with business logic ensuring the validity and accuracy of the data, which reduces the possibility of artificial misreporting and allows the data to be verified and justified. 4. Data interfaces and seamless integration: The platform has initially established data interfaces with material control systems, design collaboration systems, inventory management systems, and collaborative office systems; more business systems will be integrated in the future. Ensure that all systems work together, with shared data across all systems to guarantee seamless integration of the data. 5. Knowledge accumulation and decision analysis: All project data is stored in a structured format on the platform, enabling quick retrieval of historical data and the creation of a knowledge base that can be used for expanding new businesses and conducting decision analysis.