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S U B M I T T E D T O : P R O F. A N I TA S I N G H
S U B M I T T E D B Y : S I T E S H U PA D H YAY
R E G . N O . - 1 9 1 3 4 0
KNOWLEDGE MANAGEMENT ASSIGNMENT ON
BIG DATA ANALYTICS USED BY STARBUCKS
CONTENT
About Starbucks
Type of analytics used
Tools or techniques
used
Outcomes
2
3
ABOUT
STARBUCKS
 Starbucks Corporation is an American multinational chain of
coffeehouses and roastery reserves.
 It is headquartered in Seattle , Washington , USA and founded in
year 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker.
 Starbucks demonstrates the relationship between data, technology,
and business better than most.
 It has over 30,000 stores worldwide and completes close to 100
million transactions per week.
 After the 2008 crisis Starbucks realized they need data analytics for
store location.
 Prior to this Starbucks decision based on human driven, experience
and judgement.
3
S T A R B U C K S U S E D B I G
D A T A A N A L Y T I C S A N D
A R T I F I C I A L I N T E L L I G E N C E
4
BIG DATA
Big Data is a term used to describe
a collection of data that is huge in
volume and yet growing
exponentially with time. In short
such data is so large and complex
that none of the traditional data
management tools are able to store
it or process it efficiently.
Example
 Social media
 Bombay stock exchange
ARTIFICIAL INTELLIGENCE
A machine with the ability to
perform cognitive functions
such as perceiving, learning,
reasoning and solve problems
are deemed to hold an artificial
intelligence.
Example
Cortona
Siri
R e a l e s t a t e d e c i s i o n s
 U s e d m i x t u r e o f a r t
a n d s c i e n c e t o e n s u r e
t h e i r s t o r e l o c a t i o n .
 U s e s d a t a l i k e
p o p u l a t i o n d e n s i t y,
a v e r a g e i n c o m e &
t r a f f i c p a t t e r n
M e n u d e s i g n &
o p t i m i z a t i o n
 U s e s d a t a t o h e l p a l i g n
i t s m e n u a n d p ro d u c t s .
 U s e s d a ta t o d r i v e i t s
m e n u d i g i t a l m e n u
b o a rd s .
P e r s o n a l i ze d
At t e n t i o n
 U s e s re g i s t e re d u s e rs t o
d a t a fo r ro y a l t y re w a rd
p ro g ra m s .
 P ro v i d e s o f fe r i n g
a c c o rd i n g l y.
5
T O O L S A N D T E C H N I Q U E S U S E D
7
Customer and company tuning and delivering accordingly.
 Launching new product lines.
 Defining store locations.
Boosting sales and marketing activities.
 Anticipating customer demand.
 Customizing order suggestions.
Optimizing back end operations.
 Optimizing supply chain management
 Staffing and staff scheduling in a smart way
Eye on competitors.
 New ways of delivery service.
Increasing revenue and reducing costs.
THANKYOU

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Knowledge management analytics used by starbucks

  • 1. S U B M I T T E D T O : P R O F. A N I TA S I N G H S U B M I T T E D B Y : S I T E S H U PA D H YAY R E G . N O . - 1 9 1 3 4 0 KNOWLEDGE MANAGEMENT ASSIGNMENT ON BIG DATA ANALYTICS USED BY STARBUCKS
  • 2. CONTENT About Starbucks Type of analytics used Tools or techniques used Outcomes 2
  • 3. 3 ABOUT STARBUCKS  Starbucks Corporation is an American multinational chain of coffeehouses and roastery reserves.  It is headquartered in Seattle , Washington , USA and founded in year 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker.  Starbucks demonstrates the relationship between data, technology, and business better than most.  It has over 30,000 stores worldwide and completes close to 100 million transactions per week.  After the 2008 crisis Starbucks realized they need data analytics for store location.  Prior to this Starbucks decision based on human driven, experience and judgement. 3
  • 4. S T A R B U C K S U S E D B I G D A T A A N A L Y T I C S A N D A R T I F I C I A L I N T E L L I G E N C E 4 BIG DATA Big Data is a term used to describe a collection of data that is huge in volume and yet growing exponentially with time. In short such data is so large and complex that none of the traditional data management tools are able to store it or process it efficiently. Example  Social media  Bombay stock exchange ARTIFICIAL INTELLIGENCE A machine with the ability to perform cognitive functions such as perceiving, learning, reasoning and solve problems are deemed to hold an artificial intelligence. Example Cortona Siri
  • 5. R e a l e s t a t e d e c i s i o n s  U s e d m i x t u r e o f a r t a n d s c i e n c e t o e n s u r e t h e i r s t o r e l o c a t i o n .  U s e s d a t a l i k e p o p u l a t i o n d e n s i t y, a v e r a g e i n c o m e & t r a f f i c p a t t e r n M e n u d e s i g n & o p t i m i z a t i o n  U s e s d a t a t o h e l p a l i g n i t s m e n u a n d p ro d u c t s .  U s e s d a ta t o d r i v e i t s m e n u d i g i t a l m e n u b o a rd s . P e r s o n a l i ze d At t e n t i o n  U s e s re g i s t e re d u s e rs t o d a t a fo r ro y a l t y re w a rd p ro g ra m s .  P ro v i d e s o f fe r i n g a c c o rd i n g l y. 5
  • 6. T O O L S A N D T E C H N I Q U E S U S E D
  • 7. 7 Customer and company tuning and delivering accordingly.  Launching new product lines.  Defining store locations. Boosting sales and marketing activities.  Anticipating customer demand.  Customizing order suggestions. Optimizing back end operations.  Optimizing supply chain management  Staffing and staff scheduling in a smart way Eye on competitors.  New ways of delivery service. Increasing revenue and reducing costs.