Data assets are the foundation of the capabilities of data middle-offices, and the health of data assets is directly related to the success or failure of middle-office construction. So how should we evaluate the construction and management of data assets in the process of building a data center? 1. Frequently Asked Questions about the Data Asset Management Process The specifications are not unified . Different business departments and developers find different habits and awareness. When there is a lack of unified management and control of asset construction,
Low data reuse , lack of metadata mobile number list information, faulty data permission application and approval process, lack of efficient and easy-to-use data map retrieval tools, etc. will lead to the development of many models by data warehouse personnel, but the business is not aware of it, and the wheels are repeated. Evaluation is difficult to quantify . How to quantify the performance of data warehouse developers? The number of models developed? it will bring about problems such as non-standard naming and non-standard modeling.
The number of bugs? Or the number of data quality problems? If the upload is not released , the management and data managers hope to continuously reduce the cost of data storage and computing, but due to the coarse granularity of cost accounting, the cost cannot be traced back to individual developers. For front-line development students, as long as the business needs can be completed as quickly as possible in the short term, they will not pay too much attention to the cost issue. There is a lack of active governance awareness for low-efficiency and high-consumption tasks and cold data.