Data is for business. Both the generation of data and the use of data correspond to business work and are closely related to business work. Therefore, a good data management service system should be how to make the generation, search and use of data and the actual business work the closest distance, if it is zero distance, the best.
1) Data content can reflect business content 100%
From the perspective of data management, data must reflect business content and truly reflect business content. Data reflecting business content includes multiple meanings: one is that the data must be able to fully reflect the business, that is, the content and scope of the data must be complete; the second is that the data must reflect the complete meaning of the business, and the information recorded by the data must be complete; the third is the data To be able to reflect the business in real time, that is, the data must be timely; fourth, the data must be able to meet the business application requirements, that is, the data must be fully integrated with the business.
2) The data collection is the closest to the actual working distance
Data is generated in a certain work link. Since certain work procedures can only produce certain data content, a good data collection system should have three important characteristics: First, the collected data content and the data content generated by the work are strict There can be no more or less; the second is the realization of the collection work should be completed in the work, it is synchronized with the work in real time; the third is that each data can only have one source collection location, if there is non-source data in a collection unit It is automatically loaded by the tool and cannot be entered manually.
In other words, the most important goal of data collection services is to make the data collection work the closest to the actual business work.
At present, almost all data collection tools developed in data management systems are completed by providing special collection tools after work, even one system corresponds to a set of collection systems, and the same data item is collected multiple times in different collection systems. We encountered an extreme situation where one data need to be collected six times at the well site. It is conceivable that it is difficult to guarantee the uniqueness and correctness of the data collected through various collection systems.
According to this standard, we can basically assert that all source collection systems attached to the data management system are not true source collection systems, and only the collection systems that are truly integrated into actual business work are true source collection systems.
3) The data use target is the closest to the actual work
The only purpose of data existence is to use it in work. Every work use data has its own unique requirements. A good data definition should be the data closest to the use target, that is to say, the data that can be used directly by the work, or take it. It can be used as soon as it comes, without any processing. The more complex the processing required in the data application process, the more complicated the data unit defined by the data management system is problematic. (The chef does not want a piece of meat to make fish-flavored shredded pork, but a cut shredded pork!)
In many applications, we do not simply use a few items of data, but use a set of data. These complex data need to be organized reasonably close to the target of use. This data organization method includes data structure organization and submission form (including Display style) organization.
Therefore, to meet the data usage goal, it is necessary to solve the problem of data unit definition and data organization definition.
4) The data search service is closest to the actual work
Finding the required data is also the most commonly used function in data applications. Search is the most commonly used data search method. Due to its particularity in the petroleum business, users often need to find data in business language when searching for data, which requires data to be able to " "Automatically recognize" business language, a common method is to add business tags to the data. In addition, when entering search conditions, due to different needs of users, the data is also required to understand the specific needs of the user and the potential business meaning of the user. These require a series of data pre-processing work.
5) The data usage service is closest to the actual work tool
Data is generally used by various application system software. Different software functions represent different business function requirements. How to enable one business function to automatically obtain the required data so that the user function and the data are zero distance is also a data use consideration. Key factor.
In addition, the updated data of different jobs in the petroleum industry is certain. How to automatically push the required data according to the user's job requirements is also a key consideration for using the service.
We use the word "distance" to describe the relationship between data services and business. In this regard, Internet companies have set a good example. They have adopted a series of new technologies to shorten the distance between users and effective information. We are designing data You also need to learn from this idea when serving.