comes first with a short story.
In 1973, a global oil crisis broke out. Decision makers from automobile companies such as General Motors and Ford in the United States and Toyota in Japan predicted the changing trends of the automobile market in advance and took the opportunity to design and produce a large number of small cars with low fuel consumption to prepare for sudden changes in the market.
Company K in the United States, because it did not predict the changes in the market, did not make any response or measures and continued to produce large cars with high fuel consumption.
Finally, when the global oil crisis broke out again in 1978, Company K was unable to cope with it. Its car sales dropped sharply, its inventory accumulated like a mountain, and it was finally on the verge of bankruptcy. The turnover of automobile companies such as General Motors and Ford in the United States and Toyota in Japan has not been affected, and has even increased.
French futurist H. Jouffre proposed: Without prediction activities, there will be no freedom of decision-making. Effective forecasting is the prerequisite for wise decision-making. This is called Jouvre's law.
Without prediction activities, there is no freedom of decision-making. When I saw this sentence, I suddenly thought of "without investigation, there is no right to speak." Are the meanings of these two sentences similar? How to predict
?
has never analyzed data.
What era is it now?
Big data era.
What are the characteristics of big data?
Firstly, the capacity is super large and complex, which may be too large for you to imagine; secondly, the running speed is very fast; thirdly, the value is very low.
In the era of big data, various paths, methods, approaches, and suggestions emerge in endlessly. Do you know which one is valuable to you?
Big data is not valuable, but the refined big data is very valuable.
Does prediction require accumulation of experience and knowledge? With rich knowledge and experience combined with big data, is it a good prediction?
