Speed of BIG DATA

1. MARKETERS FLUNK THE
TEST

2. In this decade of the century,
BIG DATAis being used everywhere

3. As this revolution is exploding
companies with massive chunks of
unstructured data..

4. The question is
ARE YOU
CATCHING UP
WITH THE
SPEED OF
BIG DATA?

5. It has been found that..
nearly 800 marketers at
Fortune 1000 companies
found the vast majority
of marketers still rely too
much on intuition

6. Despite the noise about big data
and data analysis, seems like
managers really haven’t entirely
caught up yet.

7. The question is..
BUT,
WHY?

8. 1.

9. AN OLD FASHIONED APPROACH TO
NEW AGE WORLD
• Relying on intuition
• Not updated with current stats
• Irrelevance: using experience from past jobs,
although the industry may not be the same

10. This is an issue because..
• Increases scope for errors
• Increases chances of digression
And
most importantly,
• It cannot be applied to the new world of
startups, competition with CEOs under
30,recent yet dominant industries like IT and
E-Commerce and emerging new concepts like
IOT

11. MANAGERIAL RELEVANCE

12. https://www.alvarezandmarsal.com/sites/default/files/files/Age-CEO-CFO-COO.pdf
The average CEO of an established company is
around 50 years old.
This means he was born in the 1970s,completed
his education and got most of his experience by
the 1990s.

13. The question is..
WHY IS
THIS A
PROBLEM?
Here are some key
statistics from the past
5 years…

16. The data from half a decade back
cannot be trusted due to the massive
shifts in Indian market. How can we
trust the experience from more than a
decade back?

17. https://www.techinasia.com/indias-top-30-startup-founders
https://www.bcg.com/en-in/publications/2017/marketing-sales-globalization-new-indian-changing-consumer.aspx
• Managers must use data to update their perceptions of
an average Indian consumer constantly as the curve is
shifting towards a “more rural, older, more gender-
equal, more mobile” individual
• Consumers in emerging cities behave differently from
the big-city consumers.
• More than 50 % of top Indian startups are
1. by young entrepreneurs
2. over the last decade
3. based on E Commerce
Thus, it is crucial for a manager to have relevant, updated
data which can be integrated with the newer and
emerging concepts of the developing nation.

18. 2.

19. VOLATILITY
• For those who even consider themselves ‘data
savvy’ or superficially show signs of involving
themselves with data in the form of feedback
and interaction,
• They are highly susceptible to misinterpreting
data
For example…

20. 1. Assuming small differences are meaningful
Many of the daily fluctuations in the stock market represent chance rather
than anything meaningful. Differences in polls when one party is ahead by a
point or two are often just statistical noise.

21. 2.Deceptive graphs
A lot of mischief occurs in the scaling and labeling of the vertical axis on
graphs. The labels should show the full meaningful range of whatever you’re
looking at.
http://theconversation.com/the-seven-deadly-sins-of-statistical-misinterpretation-and-how-to-avoid-them-74306

22. MANAGERIAL RELEVANCE

23. This indicates a
• Careless
• Carefree
• Immature
• Unreliable
• Un trustworthy
approach and attitude of a manager.

24. AN ADHD IN READING DATA
• This is clearly a poor a managerial trait.
• It leads to a lack of trust of the team in the
managers actions, thus leading to poor
cooperation and team building
• It leads to constantly taking up or scarping
projects which is indicative of indecisiveness and
immaturity
• Poor reading of data can lead to incorrect
contexts ,giving undue importance to wrongly
magnified issues or false causation correlation

25. Basically, summed up in one sentence..
NOT ALL
THAT
GLITTERS
IS GOLD
..in data