Big data typically involves a huge volume of data being generated daily or the computing amounts of turning information into insight. Most companies believe technology is a vital component of this emerging business trend. Instead, executives must understand the obstacles are not from the increasing amounts of data but their mindset.
When you look at those who successfully embrace big data, you will realize it is their mindset. Not tools. Not algorithms. But the right mindset! However, you cannot solve a mindset problem by buying technology; you need practical thinking for leveraging data differently.
The right criteria for the shift in thinking are :
Big Data Mindset: Ability to see the big picture
Using big data to identify the right challenges and map the data needed to create solutions in line with consumers’ needs. For instance, we use data to identify the infection source of the first Index case. Nevertheless, when there are more than a thousand daily cases, we need to predict areas with a possibly higher infection. Therefore to prevent a large-scale community infection.
以全方位思考一个现象或许会引发的相关现象。比如利用大数据预测哪些城市在未来两周内将会爆发大规模传染。这时候已经没有必要探讨现象背后的原因，如感染源。
Willingness to gather & explore all relevant data
Executives must gather and collect all relevant data. Those data must be explored following possible leads. Partial data, on the other hand, will lead to misjudgement and wrong decisions made.
需要分析与事物相关的所有数据，而非抽样部分的数据样本。
Focus on methodological efficiency
It is common to arrive at dead ends occasionally. Be decisive and ready to make adjustments. It is a matter of trial and error. Keep experimenting and improvise a bit.
应该注重于数据分析的速度，允许不精确的做法。大数据帮助我们发现现象的规律，并且解释此现象，后预测未来趋向。