2, understand the required data sources but not standard, this is the "data type". A better understanding of the data, because in the Internet or the company fought for many years, for their own reasons and to know what the data needed. But also because there is no relevant data for professional personnel, for the source of the data and production data collection is not standardized, there may be errors. Therefore, these data may be distorted, using natural value is not great. In fact, this kind of data is more than the first class into decoration.
many people do not know what kind of need to collect data; some do not know through what channels to collect data; and most do not know how to analyze the data collected, and it is not clear how to use these data. So, a lot of data are just numbers, unable to transform and for the benefit of the company, became a gorgeous decoration or chicken ribs.
3, but will not do data interpretation analysis, this is the "data base" type. Have a clear understanding of the data, and accurate data sources and clear data needs, but to Baoshan and empty into the back, but not by sitting on the gold, it is the real money data bring to belittle? Just a simple collection of data to form visual statements, but only these data can explain what the problem is.
the first to talk about the three types of data into display type:
1, but it is not clear how the importance of data collection, this is the "data type". The data in the fuzzy understanding, because of living in this information explosion era, the importance of various monasteries naturally preaching data, attention to data, know companies and enterprises to rely on data support and work plan. But because there is no relevant data for professional personnel, their company (or individual stationmaster) what data, through what channels to collect, it is scanty. Finally, possibly through brainstorming and online tutorials to so-called than suit, coupled with the advice of peers, and put all sorts of things together data, such data is really a natural.
what is the meaning of data, how to interpret the data to create value for companies and individuals, how to avoid possible risks by using the data, how to use data analysis problems? These are the real value of the data.
in this everyone shouting "big data era" today, the data seems to be referred to a hitherto unknown height. Whether it is personal webmaster or medium-sized companies or large multinational corporations, whether the network marketing and offline marketing are aware of the importance of data, generally to the data to speak. However, according to the understanding of niche, in many small and medium-sized companies and individual owners, but the use of attention for the data is insufficient. The first statement, the data in front of the master, are a bit redundant, is a pediatrician so please do not master the display slight skill before an expert, thanks for your time.