Three kinds of data display in large data age

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In this day when everyone shouts "The Big Data Age", the data seems to have been mentioned at an unprecedented altitude. Whether it is a personal webmaster or large and medium-sized companies, or large multinational groups, whether online marketing or offline marketing are aware of the importance of data, usually with data to speak. However, according to the niche, in many small and medium-sized companies and personal webmaster, the data to pay more attention, but the use of inadequate. First of all, the paper in front of the data master, are a little superfluous, are the pediatric to swim, so please master not to delay your time.

Many people are not sure what kind of data they need to collect, some do not know what channel to collect data from, and most of them do not know how to analyze the collected data, and then it is not clear how to use the data. So, a lot of data is just a number, can not transform and serve the interests of the company, became a gorgeous furnishings or chicken ribs.

Let's say three types of data are made into a device type:

1, attention to data but do not know how to collect, this is the "data" type. The data in a vague understanding of the state, because of life in this era of information explosion, the importance of all kinds of preaching data, naturally also pay attention to the data, know that companies and enterprises to work and plan rely on data to support. But because there is no professional relevant data personnel, their own company (or personal webmaster) should do what data, through what channels to collect and collate, is a smattering. Finally, it may be through brainstorming and the so-called tutorials on the web to Bishi, together with consulting peers, a patchwork of data, such data is really just a display.

2, understand the required data but the source is not standardized, this is the "false data" type. The log is known to know more, because in the Internet or the company for many years, for their own reasons and purposes probably know what data to need. But also because there is no professional relevant data personnel, the source of data and production is not standardized, data acquisition may be error. Therefore, these data may be distorted, the use of value naturally is not very large. In fact, this kind of data is more than the first category of equipment.

3, will do the data but will not interpret analysis, this is the "base data" type. Have a clear understanding of the data, and have accurate data sources and more specific data requirements, but it is equal to the Baoshan and empty back, sitting on the gold mine will not be used, it is not to bring the real money to the gold and silver data to the cheap? Simply collect and organize the data into a visual statement, But that's just what the data can say.

What is the meaning behind the data, how to interpret data to create value for companies and individuals, how to use data to circumvent possible risks, and how to use data analysis problems? These are the real values of the data.

This article by the North Drift scholar blog original (http://www.361blog.com), Exchange and share the network marketing knowledge, reprint please indicate the source.