How to handle all the data

1. -Talk by Jer Thorp

2. • ’The most important thing with data
visualization is communicating the data, not
only making it look pretty’

4. Not everything with data
has to be done for
submissions and deadlines
• At times, the most
valuable and noteworthy
work, can be done out of
sheer joy, or love for the
data!

5. • Managers need to let
people make data for
themselves, and on
themselves!
• This gives a sense of
familiarity, bringing the
creative side out in us.

6. • In reducing people to what data can
measure, we leave out that most human of
attributes -- emotion. Emotions are
marketing's primary currency.

7. • It can be derived that the
better a person or company
can understand itself, with
these graphs and data, the
more successful they can
be at what they do.
• And this is what our
managers need to
embrace!

9. • Single pieces of data can
be artistically be
constructed together to
paint a beautiful picture!
• The iPhone location is an
apt example!

10. • By giving data the human touch, there is empathy for
the people, in the system ;They are treated with
respect and not as mere employees.

11. • Our histories when
viewed from a ‘data’
point of view, give us an
insight on how and what
data we are sharing.

12. • Imagine how dense history is getting! As
time passes, more and more data is
produced in relation with humans. A
couple of centuries ago, the only data
available were manuscripts

13. • The data is now plentiful and
granulated. In the past history was
tied to important, widespread events.
Now you can dig down to personal
events like what we eat for lunch!

14. • 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.

15. • 1)Put data in Context
• 2)work for yourself and happiness
• 3) robots don’t make stories
• 4) Use data resources in an Efficient way
• 5)give data the human touch
• 6)data is now plentiful
• 7) Use human insight