3. Six Waysto Make Your Data More Human
1. Use human insight to frame the
problem.
Data doesn't ask questions. In many
ways, the first few steps of any inquiry
are the most challenging. The wrong
choice of variables, poor
instrumentation and measurement, or
an imprecise question come with a high
cost. No amount of automation can
correct these missteps.
4. 2.Remember that bigger is not always better.
Massive amounts of data defy the limits of
human analysis, which is why machines are
essential to understanding large amounts of
information. More data also means a greater
risk of finding false correlation.
5. 3.Know that everyone is lying.
To put it more gently, people are masters of self-
deception. Unlike weather patterns or traffic
data, information that people volunteer is always
biased in some way. People distort the truth
about all kinds of things -- sometimes
directionally, as in how much they earn, and
sometimes in unpredictable ways, such as how
they feel about a product they know others like.
This is yet another problem a machine can't
solve, but experience and human judgment can.
It is also why passive observation is often the
best way to gather data.
6. 4.Understand that context is everything.
The events that are captured and recorded in our data are
almost impossible to understand without knowing the context
in which they were collected.
7. 5. Embrace the idea that data forces us to
abandon stereotypes.
This one almost works backwards. Robots struggle to
recognize patterns, while the human brain revels in
the process. That's not always a good thing. Our
minds adapt to poor or incomplete data by filling in
the blanks with shortcuts and assumptions. With
better data, the machines are practically begging us
to abandon stereotypes like "soccer mom" and
respect that each person has a unique cross-section
of interests and characteristics.
8. 6. Realize that a robot never told a
great story.
In reducing people to what data can measure, we leave out
that most human of attributes -- emotion. Emotions are
marketing's primary currency. People literally make decisions
from the emotional centre of their brain, which is why smart
marketers use narrative, context and feelings to tell stories
that resonate. A story created by a robot is a story devoid of
human emotion, which is one more reason why effective
marketing, even in the data-driven era, will always need the
human touch.
9. CONCLUSION:
Hence, data should be made intelligent as a human brain
because there are certain things that a human brain has the
intelligence to take wise decisions as per circumstances which
a machine has yet to develop wisdom for it. For eg: emotions,
sensations etc.
Much progress has to be done with the artificial intelligence
yet to make data so much intelligent to take wise decisions on
its own as per the circumstances.