數據分(fēn)析是指用(yòng)适當的(de)統計方法對(duì)收集來(lái)的(de)大(dà)量行業資料進行分(fēn)析，以求最大(dà)化(huà)地開發數據資料的(de)功能，發揮數據的(de)作用(yòng)。是爲了(le)提取有用(yòng)信息和(hé)形成結論而對(duì)數據加以詳細研究和(hé)概括總結的(de)過程。

數據分(fēn)析的(de)目的(de)與意義 

數據分(fēn)析的(de)目的(de)是把隐沒在一大(dà)批看來(lái)雜(zá)亂無章(zhāng)的(de)數據中的(de)信息集中、萃取和(hé)提煉出來(lái)，以找出所研究對(duì)象的(de)内在規律。

在項目規劃和(hé)定位過程中，數據分(fēn)析可(kě)幫助企業作出準确的(de)判斷，以便對(duì)項目的(de)開發、投資、管理(lǐ)、運營及核心競争力做(zuò)出科學的(de)依據和(hé)分(fēn)析。

Data analysis refers to the use of appropriate statistical methods to collect a large number of industry data analysis, in order to maximize the development of data functions, play the role of data. In order to extract useful information and form conclusions, we need to study and summarize the data in detail.Purpose and significance of data analysis The purpose of data analysis is to concentrate, extract and refine the information hidden in a large number of seemingly disorderly data in order to find out the intrinsic laws of the object under study.In the process of project planning and positioning, data analysis can help enterprises make accurate judgments, so as to provide scientific basis and analysis for the development, investment, management, operation and core competitiveness of the project.