How to avoid big data supervision思维导图
How to avoid big data supervision
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思维导图大纲
How to avoid big data supervision思维导图模板大纲
Beginning
In Ancient Greek, Ancient China, Mayan Calendars, people craved for propercy
make the right decision
now we have a new oracle- the big data
It's not big data's fault, it's our way to use it.
As Quantification in contained systems, we don't know how to model well if it is dynamic, the conditions are constantly changing.
Relying on big data alone increase the chances we'll miss something, while giving us the illusion we know everything.
we prefer quantification bias, the unconcious belief of valuing the measurable over the immersurable.
Nothing wrong with quantification.It is addictive that cause we easily throw out the data.
Intergrating big data + thick data to form a complete picture
There is no greater risk than being blind to unknown. It cause we make wrong decisions or miss something big.
The big data systems should have supports, they need people like ehonographers and user researchers.
They play a big role in collecting the thick data
Which Is the experience of understanding the human narrative, helping to see what's missing in our model.
The big data is hard to use
Despite the industry is big, returns are surprisingly low.
Investing in big data is easy, but using it is hard.
Instance1-Nokia
Nokia was dominating the market at that time. She spent a lot of time in China to collect and piece data together.
she shared the message with Nokia，however
Nokia was not convinced, for the data was not big data, no any big data showed anynone wanting to buy a smartphone.
Nokia's business fell off a cliff, for the cost of missing something.
instance2-Netfilx
Netfilx just offer more of the same shouw to really encourage binge watching
By intergrating big data and thick data, they also transformed how we consume media,which
Caused the stocks are projected to double in the next few years
which finally causes思维导图模板大纲
Everyone will be impacted by the quantification bias 思维导图模板大纲
However, We've come a long way, we have better tools, so just use them better by intergrating, all of it matters
Which means we're collectively committed to making better decisions
This is how we'll avoid missing that something
All in all思维导图模板大纲
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