SlideShare a Scribd company logo
Based on “Marketers Flunk the Big Data
Test”,
An article by Patrick Spenner and Anna
Bird
• The big-data explosion is driving a shift away
from gut-based decision making.
• And yet, a recent CEB study found the vast
majority of marketers still rely too much on
intuition — while the few who do use data
aggressively for the most part do it badly.
But
why?!
Most rely too much on gut
• On average, marketers depend on data for
just 11% of all customer-related decisions.
More than half of the information came from
their previous experience or their intuition
about customers. They put data last on their
list — trailing conversations with managers and
colleagues, expert advice and one-off customer
interactions.
WHY IS THIS A PROBLEM?
• But in today’s volatile business environment,
judgment built from past experience is
increasingly unreliable. With consumer
behaviors in flux, once-valid assumptions
(e.g., “older consumers don’t use Facebook
or send text messages”) can quickly become
outdated.
Big data versus Marketers
A majority struggle with statistics
• Just 5% of marketers own a statistics text
book.
Some are dangerously distracted by
data
• While most marketers underuse data, a small
fraction (11% in this study) just can’t get
enough.
• These data hounds consult dashboards daily,
and base most decisions on data.
• We call these marketers “Connectors” and
they’re exactly what most CMOs are looking
for.
Big data versus Marketers
• But these types of marketers are actually
severe underperformers . The problem is,
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.
The best focus on goals and filter out
noise
• Today’s top performing marketers as rated by
the managers (a profile we call “Focusers“)
have three key qualities: comfort with
ambiguity, ability to ask strategic questions
based on data, and narrow focus on higher-
order goals.
• The bad news for marketing leaders is that
ability to filter out noise is rare (only about
10% of marketers excel here) and hard to
teach.
• The good news is that a well-guided team
environment can protect noise chasers from
themselves — by providing blinkers that keep
“bright shiny objects” out of view.
Big data versus Marketers
IN CONCLUSION
• To drive effective data use, the best
marketing leaders reiterate critical business
goals constantly ,teach marketers to put data
front and center in their decision making, and
sensitize marketers to common data
interpretation mistakes.
• This enables even the most distractible data
lovers to overachieve.
IN FUTURE…
THANK YOU FOR
PAYING ATTENTION!
PRESENTATION MADE BY:
TARUNA SUDHAKAR
(future data ninja)

More Related Content

PPTX
Marketers and Big Data
PPTX
Marketers flunk the big data test
PPTX
Marketers flunk the big data test
PPTX
Marketers flunk the big data test
PPTX
Marketers flunk the big data
PPTX
Marketers Flunk the Big Data Test
PDF
Ppt analytics
PDF
DSA Presentation 1
Marketers and Big Data
Marketers flunk the big data test
Marketers flunk the big data test
Marketers flunk the big data test
Marketers flunk the big data
Marketers Flunk the Big Data Test
Ppt analytics
DSA Presentation 1

What's hot (20)

PDF
BIG DATA PROBLEM
PPTX
Marketers Flunk the Big Data Test
PPTX
Presentation1
PPTX
Analysis of hbr article marketers flunk the big data test
PPTX
What People Analytics Can’t Capture
PPTX
BIG DATA PROBLEM
PPTX
Marketers Flunk the Big Data Test
PPTX
How marketers flunk the big data test
PDF
marketersflunkthebigdatatest
PPTX
Presentation1
PPTX
Marketers flunk the big data test
PPTX
Marketers Flunk the Big Data Test
PPTX
Marketers flunk the big data test
PPTX
Marketers flunk the big data test
PPTX
Marketers flunk the big data
DOCX
Marketers flunk the big data test1
PPTX
Marketers flunk the big data test
PPTX
Marketers Flunk the Big Data Test by Patrick Spenner and Anna Bird
PPTX
What people analytics can not capture.
PPTX
Analysis OF marketers flunk big data test
BIG DATA PROBLEM
Marketers Flunk the Big Data Test
Presentation1
Analysis of hbr article marketers flunk the big data test
What People Analytics Can’t Capture
BIG DATA PROBLEM
Marketers Flunk the Big Data Test
How marketers flunk the big data test
marketersflunkthebigdatatest
Presentation1
Marketers flunk the big data test
Marketers Flunk the Big Data Test
Marketers flunk the big data test
Marketers flunk the big data test
Marketers flunk the big data
Marketers flunk the big data test1
Marketers flunk the big data test
Marketers Flunk the Big Data Test by Patrick Spenner and Anna Bird
What people analytics can not capture.
Analysis OF marketers flunk big data test
Ad

Similar to Big data versus Marketers (19)

PPTX
Marketers Flunk the Big Data Test by Patrick Spenner and Anna Bird
PPTX
Marketers flunk the big data test
PPTX
Marketers flunk the big data test
PPTX
Marketers flunk the big data test
PPTX
TIPS TO BECOME A SUCCESSFUL MARKETER
PPTX
How marketers use big data?
PPTX
Marketers flunk the big data test
PPTX
PDF
Marketers Flunk The Big Data Test
PDF
Marketers flunk the big data test
PDF
Marketers flunk big data test
PPTX
Marketers flunk the Big Data Test
PPTX
ArticleEvaluation
PPTX
Marketers flunk the big data test
PPTX
Big Data Test
PPTX
Marketers flunk the Big Data Test
PPTX
Marketers flunk the big data test
PPTX
Marketers flunk the big data test
PPTX
Marketers Flunk the Big Data Test by Patrick Spenner and Anna Bird
Marketers flunk the big data test
Marketers flunk the big data test
Marketers flunk the big data test
TIPS TO BECOME A SUCCESSFUL MARKETER
How marketers use big data?
Marketers flunk the big data test
Marketers Flunk The Big Data Test
Marketers flunk the big data test
Marketers flunk big data test
Marketers flunk the Big Data Test
ArticleEvaluation
Marketers flunk the big data test
Big Data Test
Marketers flunk the Big Data Test
Marketers flunk the big data test
Marketers flunk the big data test
Ad

Recently uploaded (20)

PDF
Transcultural that can help you someday.
PPTX
Database Infoormation System (DBIS).pptx
PPTX
mbdjdhjjodule 5-1 rhfhhfjtjjhafbrhfnfbbfnb
PDF
REAL ILLUMINATI AGENT IN KAMPALA UGANDA CALL ON+256765750853/0705037305
PPTX
The THESIS FINAL-DEFENSE-PRESENTATION.pptx
PDF
Business Analytics and business intelligence.pdf
PDF
Introduction to the R Programming Language
PPT
ISS -ESG Data flows What is ESG and HowHow
PPT
Predictive modeling basics in data cleaning process
PDF
Mega Projects Data Mega Projects Data
PPTX
Microsoft-Fabric-Unifying-Analytics-for-the-Modern-Enterprise Solution.pptx
PPTX
(Ali Hamza) Roll No: (F24-BSCS-1103).pptx
PPTX
Pilar Kemerdekaan dan Identi Bangsa.pptx
PPTX
Data_Analytics_and_PowerBI_Presentation.pptx
PDF
Data Engineering Interview Questions & Answers Batch Processing (Spark, Hadoo...
PPTX
Managing Community Partner Relationships
PPTX
01_intro xxxxxxxxxxfffffffffffaaaaaaaaaaafg
PPTX
IBA_Chapter_11_Slides_Final_Accessible.pptx
PPTX
AI Strategy room jwfjksfksfjsjsjsjsjfsjfsj
PPTX
CEE 2 REPORT G7.pptxbdbshjdgsgjgsjfiuhsd
Transcultural that can help you someday.
Database Infoormation System (DBIS).pptx
mbdjdhjjodule 5-1 rhfhhfjtjjhafbrhfnfbbfnb
REAL ILLUMINATI AGENT IN KAMPALA UGANDA CALL ON+256765750853/0705037305
The THESIS FINAL-DEFENSE-PRESENTATION.pptx
Business Analytics and business intelligence.pdf
Introduction to the R Programming Language
ISS -ESG Data flows What is ESG and HowHow
Predictive modeling basics in data cleaning process
Mega Projects Data Mega Projects Data
Microsoft-Fabric-Unifying-Analytics-for-the-Modern-Enterprise Solution.pptx
(Ali Hamza) Roll No: (F24-BSCS-1103).pptx
Pilar Kemerdekaan dan Identi Bangsa.pptx
Data_Analytics_and_PowerBI_Presentation.pptx
Data Engineering Interview Questions & Answers Batch Processing (Spark, Hadoo...
Managing Community Partner Relationships
01_intro xxxxxxxxxxfffffffffffaaaaaaaaaaafg
IBA_Chapter_11_Slides_Final_Accessible.pptx
AI Strategy room jwfjksfksfjsjsjsjsjfsjfsj
CEE 2 REPORT G7.pptxbdbshjdgsgjgsjfiuhsd

Big data versus Marketers

  • 1. Based on “Marketers Flunk the Big Data Test”, An article by Patrick Spenner and Anna Bird
  • 2. • The big-data explosion is driving a shift away from gut-based decision making. • And yet, a recent CEB study found the vast majority of marketers still rely too much on intuition — while the few who do use data aggressively for the most part do it badly.
  • 4. Most rely too much on gut • On average, marketers depend on data for just 11% of all customer-related decisions.
  • 5. More than half of the information came from their previous experience or their intuition about customers. They put data last on their list — trailing conversations with managers and colleagues, expert advice and one-off customer interactions.
  • 6. WHY IS THIS A PROBLEM? • But in today’s volatile business environment, judgment built from past experience is increasingly unreliable. With consumer behaviors in flux, once-valid assumptions (e.g., “older consumers don’t use Facebook or send text messages”) can quickly become outdated.
  • 8. A majority struggle with statistics • Just 5% of marketers own a statistics text book.
  • 9. Some are dangerously distracted by data • While most marketers underuse data, a small fraction (11% in this study) just can’t get enough.
  • 10. • These data hounds consult dashboards daily, and base most decisions on data. • We call these marketers “Connectors” and they’re exactly what most CMOs are looking for.
  • 12. • But these types of marketers are actually severe underperformers . The problem is, they don’t have the statistical aptitude or judgment required to use data effectively.
  • 13. • 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.
  • 14. The best focus on goals and filter out noise • Today’s top performing marketers as rated by the managers (a profile we call “Focusers“) have three key qualities: comfort with ambiguity, ability to ask strategic questions based on data, and narrow focus on higher- order goals.
  • 15. • The bad news for marketing leaders is that ability to filter out noise is rare (only about 10% of marketers excel here) and hard to teach. • The good news is that a well-guided team environment can protect noise chasers from themselves — by providing blinkers that keep “bright shiny objects” out of view.
  • 17. IN CONCLUSION • To drive effective data use, the best marketing leaders reiterate critical business goals constantly ,teach marketers to put data front and center in their decision making, and sensitize marketers to common data interpretation mistakes. • This enables even the most distractible data lovers to overachieve.
  • 19. THANK YOU FOR PAYING ATTENTION! PRESENTATION MADE BY: TARUNA SUDHAKAR (future data ninja)