Regarding data quality management , it may not have much to do with most people. Although there are many companies in the market that are engaged in data mining and analysis , there are really only a handful of companies in terms of data quality management .
Because my company is mainly to solve some problems encountered by the Development and Reform Commission , and carry out a project. For example, a simple example of checking whether the registered capital of a prefecture and city is abnormal.
For data perception technology , most of them do not understand. In order to illustrate the application of data perception in data quality management systems in the era of big data, we need to solve several problems first:
What is a data quality management system ? What is data-aware technology ? What is data-aware technology used for ?
Below we will introduce them separately.
What is a data quality management system
We know that data is an important asset in an enterprise data center, and acquiring and maintaining high-quality data is critical to business and operations. The greater the amount of data, the more difficult it is to obtain valuable information. If no useful information can be obtained, data mining and data analysis cannot be performed well.
However, in this process , there are many factors that will lead to the depreciation of these data assets, such as the redundancy and repetition of data, which will lead to the occurrence of unidentifiable, untrustworthy and inaccurate information.
The data quality management system is to provide high-quality data after processing the data , and the ultimate purpose is to mine the value of data, promote business development, and achieve profitability.
The data quality management system mainly consists of the following parts:
Data Cleaning and DeduplicationData VisualizationData EvaluationData GovernanceData MiningData Analysis
The current system is mainly implemented in pure Python. For the National Development and Reform Commission, the data of tens of millions of levels can still be well controlled.
What is data-aware technology
The definition of perception is the direct reflection of objective events in the human brain through the sense organs. The so-called data perception is to describe the data through some characteristic information of the data. For example, if we see a person in the distance with long hair and red clothes and high heels, then we can infer that person is a woman. Of course, there may also be inaccuracies in this process, such as the person being a man and dressing like this.
The data perception technology can be implemented to give us a set of sample data, and we can know what type it is. For example, give us the following 100 records 1 set of data:
13923123425020-8876234(0760)2347234...3423456
Through our perception technology, we can identify it as a mobile phone number and a phone number , in which the proportion of mobile phones is assumed to be 60.82%, while the proportion of phone numbers is 32.22%, and the remaining 6.96% of the data cannot be identified, Therefore, we can infer that the current data is dominated by contact information.
It should be noted that these 100 records need to meet randomness, otherwise the perceived results may be unsatisfactory.
Of course , this is a relatively simple example. Of course, we can also identify Chinese names, address information, company names, industrial and commercial registration scope, industrial and commercial registration capital and other types. Here are some of the contents of probability theory and statistics.
Of course , it will also involve some linear algebra content, such as the use of the Bayesian network transition matrix, and the relevant knowledge of the matrix will be used.
Uses of data-aware technology
In general , the data quality management system is based on the rule base, and the configuration of the rules for each group of data is a tedious and time-consuming task, and basically no one wants to do this kind of work.
At this time , through data perception technology, we can automatically perceive the rules and recommend the most suitable rules for each set of data, thereby simplifying the workload of personnel and improving efficiency.
In addition, through data perception technology , other similar types of data in the database can also be found, and the association of data correlation can make up for some cognitive defects.
Summarize
In fact , data perception is only a small link in data quality management. Through this automated technology, labor costs can be saved and efficiency can be improved.
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Beijing Youwangzhubang Information Technology Co., Ltd. (referred to as Youwangzhubang) is a big data company based on big data and intelligently applied to integrated marketing. It is affiliated to Hengtong Group. Bingdata is its brand. Youwang's help team is mainly from Alibaba, Tencent, Baidu, Kingsoft, Sohu and mobile, telecom, China Unicom, Huawei, Ericsson and other famous companies in technology. It has both the genes of Internet and communication operators, and is the algorithm of big data. Analysis provides strong technical support.