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BIG DATA
PROBLEM
This presentation is made as part of a Data
Analytics Internship by Prof. Sameer
Mathur,
IIM Lucknow
OVERVIEW
The article
highlights how the
field of marketing
relies on big data
and how most
marketers either use
big data in a wrong
way or in an
inefficient manner.
B I G D A T A P R O B L E M
"The big-data explosion is driving a
shift away from gut-based decision
making. Marketing in particular is
feeling the pressure to embrace
new data-driven customer
intelligence capabilities. No wonder
a strong appetite for data is one of
the most sought after qualities in
new marketers. "
BIG DATA
EXPLOSION
PATRICKSPENNE
RANDANNABIRD
KEY FINDINGS OF THE
STUDY
ArecentCEBstudyofnearly800marketersat
Fortune1000companiesfoundthevastmajority
ofmarketersstillrelytoomuchonintuition—
whilethefewwhodousedataaggressivelyforthe
mostpartdoitbadly.
B I G D A T A P R O B L E M
Most marketers rely too much on
GUT.
More than half of the information used to make a
decision comes from their previous experience or
their intuition about customers
They put data last on their list after conversations
with managers and colleagues, expert advice and
one-off customer interactions
BIG DATA PROBLEM
Marketers depend on data for just
11% of all customer-related
decisions
11%
11%
89%
A Majority struggle with stats
When they tested marketers’ statistical aptitude
with five questions ranging from basic to
intermediate, almost half (44%) got four or more
questions wrong and a mere 6% got all five right.
Only 5% of marketers own a statistics text book.
BIG DATA PROBLEM
SOME MARKETERS ARE
DANGEROUSLY
DISTRACTED BY DATA
While most marketers underuse data, a small
fraction (11% in this study) consult dashboards
daily, and base most decisions on data.
They have a “plugged in” personality type and
thrive on external stimulation
These marketers are called “Connectors” and
they’re exactly what most CMOs are looking for.
But these types of marketers are actually severe
under-performers .
They don’t have the statistical aptitude or judgment
required to use data effectively.
Every time they see a blip on the dashboard, they
adjust — and end up changing direction so often
that they lose sight of end goals
"CONNECTORS"
MANY MARKETERS BASE THEIR
JUDGEMENTS ON PAST EXPERIENCES AND
INTUITION. BUT, THESE CANNOT ALWAYS BE
RELIABLE. WITH CONSUMER BEHAVIORS IN
FLUX, ONCE-VALID ASSUMPTIONS (E.G.,
“OLDER CONSUMERS DON’T USE FACEBOOK
OR SEND TEXT MESSAGES”) CAN QUICKLY
BECOME OUTDATED.
THE THREE KEY QUALITIES A GOOD
MARKETER HAS ARE : COMFORT
WITH AMBIGUITY, ABILITY TO ASK
STRATEGIC QUESTIONS BASED ON DATA,
AND NARROW FOCUS ON HIGHER-ORDER
GOALS.
INSIGHTS
MANAGERIAL RELEVANCE
Managers should be aware of the fact that
the judgements of marketers are not
always based on up-to-date information.
They should not always trust the
"Connectors' who lose sigh of the end
goals
The ability to filter out noise is rare and
hard to teach to marketers .
A well-guided team environment can
protect noise chasers from themselves by
reiterating critical business goals
constantly.
Sushant Kumar
NAME
INSTITUTE
EMAIL
sushant20101995@gmail.
com
IIT Kharagpur
THANK
YOU

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BIG DATA PROBLEM

  • 1. BIG DATA PROBLEM This presentation is made as part of a Data Analytics Internship by Prof. Sameer Mathur, IIM Lucknow
  • 2. OVERVIEW The article highlights how the field of marketing relies on big data and how most marketers either use big data in a wrong way or in an inefficient manner. B I G D A T A P R O B L E M
  • 3. "The big-data explosion is driving a shift away from gut-based decision making. Marketing in particular is feeling the pressure to embrace new data-driven customer intelligence capabilities. No wonder a strong appetite for data is one of the most sought after qualities in new marketers. " BIG DATA EXPLOSION PATRICKSPENNE RANDANNABIRD
  • 4. KEY FINDINGS OF THE STUDY ArecentCEBstudyofnearly800marketersat Fortune1000companiesfoundthevastmajority ofmarketersstillrelytoomuchonintuition— whilethefewwhodousedataaggressivelyforthe mostpartdoitbadly. B I G D A T A P R O B L E M
  • 5. Most marketers rely too much on GUT. More than half of the information used to make a decision comes from their previous experience or their intuition about customers They put data last on their list after conversations with managers and colleagues, expert advice and one-off customer interactions
  • 6. BIG DATA PROBLEM Marketers depend on data for just 11% of all customer-related decisions 11% 11% 89%
  • 7. A Majority struggle with stats When they tested marketers’ statistical aptitude with five questions ranging from basic to intermediate, almost half (44%) got four or more questions wrong and a mere 6% got all five right. Only 5% of marketers own a statistics text book.
  • 8. BIG DATA PROBLEM SOME MARKETERS ARE DANGEROUSLY DISTRACTED BY DATA While most marketers underuse data, a small fraction (11% in this study) consult dashboards daily, and base most decisions on data. They have a “plugged in” personality type and thrive on external stimulation
  • 9. These marketers are called “Connectors” and they’re exactly what most CMOs are looking for. But these types of marketers are actually severe under-performers . They don’t have the statistical aptitude or judgment required to use data effectively. Every time they see a blip on the dashboard, they adjust — and end up changing direction so often that they lose sight of end goals "CONNECTORS"
  • 10. MANY MARKETERS BASE THEIR JUDGEMENTS ON PAST EXPERIENCES AND INTUITION. BUT, THESE CANNOT ALWAYS BE RELIABLE. WITH CONSUMER BEHAVIORS IN FLUX, ONCE-VALID ASSUMPTIONS (E.G., “OLDER CONSUMERS DON’T USE FACEBOOK OR SEND TEXT MESSAGES”) CAN QUICKLY BECOME OUTDATED. THE THREE KEY QUALITIES A GOOD MARKETER HAS ARE : COMFORT WITH AMBIGUITY, ABILITY TO ASK STRATEGIC QUESTIONS BASED ON DATA, AND NARROW FOCUS ON HIGHER-ORDER GOALS. INSIGHTS
  • 11. MANAGERIAL RELEVANCE Managers should be aware of the fact that the judgements of marketers are not always based on up-to-date information. They should not always trust the "Connectors' who lose sigh of the end goals The ability to filter out noise is rare and hard to teach to marketers . A well-guided team environment can protect noise chasers from themselves by reiterating critical business goals constantly.