Meaning behind those numbers

1. Communicating
Data

2. Hello!
I am Vikrant Narayan
Data Analytics enthusiast
You can find me at @vikrant.m.narayan@gmail.com
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3. “ Data is Worthless if You Don’t
Communicate It .
- Thomas H. Davenport
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4. What does it mean?
● It means communicating the numbers and
not just crunching them.
● Drop the misconception that results would
“speak for themselves”
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5. “ You don’t need to be a
winemaker to become a wine
connoisseur.
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6. Quant Jacks?
● Does it mean that managers have to be exceptionally
skilled at quantitative analysis? NO.
● But, we need to become better consumers of data, with a
better appreciation of quantitative analysis and be able to
communicate what the numbers mean.

7. Why do we need it?
● Compiling vast databases would be useless, if
data is not communicated properly
● Game changing data might remain hidden if not
communicated properly
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9. Importance of
Communicating Data
From events in history.

10. Genetics, anyone?
● Although Gregor Johann Mendel, botanist and
scientist, discovered the concept of genetic
inheritance, his ideas were not adopted during his
lifetime due to poor communication of data.
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11. The lesson
It is crucial to put time and effort into
dissemination of your results and not just
into your research.

12. Marriage advice?
● Observing several hundred couples, Dr. John Gottman
and his team were able to score couples’ interactions
and identify the patterns that predict divorce or a
happy marriage.
● This was great work in itself, but Gottman didn’t stop
there.
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13. Marriage advice?
● He and his wife Julie founded a non-profit research
institute and a for-profit organization to apply the
results through books, DVDs, workshops, and
therapist training. They’ve influenced exponentially
more marriages through these outlets than they could
possibly ever have done in their own clinic
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14. The lesson
Effective dissemination of data can scale
the impact of data multi-fold.

15. Framework
● Most frameworks do not include details on
statistical methods used, regression
coefficients, or logarithmic transformations
● Most audiences neither understand nor
appreciate those details; they care about
results and implications.
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16. Relevance to managers
● According to a McKinsey Global Institute
report on big data, we’ll need over 1.5
million more data-savvy managers to take
advantage of all the data we generate.
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17. Relevance to managers
● There is a pressing need for more business-minded
people who can think quantitatively and make
decisions based on data and analysis, and business-
minded people who can do so will become
increasingly valuable.
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18. 18
Thank You!