Humanized big data
In this technical world, some advanced technical machines are used to send
data as every day there is a flow of data and even increasing exponentially.
Thus a technology called big data is used which assembles and analyze the data
generated by several processes.
The reason behind the humanization of data is as follow
1 conversation
with the machine
Todays are designed and programmed in a way taht it works smarter than
human, they are well adapted in collecting and analyzing data. Moreover, they
use to learn from data they assemble and analyze
2 quality over quantity
sometimes quality is undertaken as a priority than quantity. As big data is
focussed on a large volume of data but organization and companies are facing
the issues with the quality of the data because the quality is sometimes more
valuable than quantity
3. Employing Common Sense
one of the basic problems of big data is that it lacks the human
interaction .humans are still not well familiar with big data .the data remains
inaccurate and qualityless.when big data processes to collect the data from the
clients and customers, sometimes the interaction remains perfectless and thus
quality less data are assembled
4. Seeing opportunity
Humanizing data is not only the challenge but also an opportunity for the
organization.This opportunity is going to provide benefits to the companies
because when they will humanize big data operation then they could communicate
with their customers and clients very effectively and also efficiently but
still, if companies focus on quantity rather than quality then it is going to
be issued for their survival in emerging environment.
5. Real interaction, the real impact
online marketing operation is the leading process for data analysis understanding the customer's query and responding accordingly is the main purpose for
humanizing big data
conclusion
Humanizing big data helps analyst in it to access the data and then
rendering data into information which is relevant
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