{"id":6489,"date":"2019-08-27T17:29:10","date_gmt":"2019-08-27T09:29:10","guid":{"rendered":"http:\/\/www.finereport.com\/en\/?p=6489"},"modified":"2019-08-27T17:29:11","modified_gmt":"2019-08-27T09:29:11","slug":"data-has-gravity-how-to-improve-the-quality-of-data-value","status":"publish","type":"post","link":"https:\/\/frg.fineres.com\/en\/2019\/08\/27\/data-has-gravity-how-to-improve-the-quality-of-data-value\/","title":{"rendered":"Data Has Gravity\u2014\u2014How to Improve the Quality of Data & Value"},"content":{"rendered":"\n

Data has gravity<\/h3>\n\n\n\n

When you see this title, you can’t help but ask questions. Gravity is generated between two objects, how can data has gravity? Who is it attracting? Is data gravity better for more or less?<\/p>\n\n\n\n

The universe is complex and changeable, but\nit still has a relatively stable system. For example, the Milky Way and the\nsolar system we are in, the construction of this system is the universal\ngravitation proposed by Newton.<\/p>\n\n\n\n

Similarly, we can also think that the data\nitself is also complex, such as the various business systems within the\nenterprise, the external government, the individual, and so on. In such a\ncomplicated environment, can it also produce some stable systems?<\/p>\n\n\n\n

Here, we have to propose Newton\u2019s universal gravitation formula, which is also the law of data gravity.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

How to use data to prove the performance or value of the IT department?<\/h3>\n\n\n\n

The first is the quality of the data, the coarse granularity of the data, the problem of fraud, and the problem of dirty data can seriously affect the quality of the data.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Value will not exist for no reason, and it depends on our decision-making department, business department and IT department. If these three departments are separated, the distance between the data and the value becomes longer, data gravity will decrease, then value will decrease.<\/p>\n\n\n\n

Regarding the distance between data and value, there is usually no guarantee for this link in the enterprise.<\/p>\n\n\n\n

How to Create Heavy Quality Data?<\/strong><\/h3>\n\n\n\n

First, reliability, data needs to be highly\ncredible and cannot be falsified;<\/p>\n\n\n\n

Second, depth, the data needs to fit the\nbusiness needs, easy to analyze;<\/p>\n\n\n\n

Third, speed, data is time-sensitive, and\nonly through efficient analysis can it achieve its greatest value.<\/p>\n\n\n\n

Let’s take a look at the current problems with enterprise data.<\/p>\n\n\n\n

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In order to solve these problems, what should we do?<\/h4>\n\n\n\n