5 Uses Of Data Analytics In Retail 
                     5 Uses Of Data 
Analytics In  
Retail
Data analytics is the  
process of analyzing raw  
data in order to draw out 
 meaningful, actionable  
insights. These insights 
are  then used to inform 
and  drive smart 
business  decisions.
In retail, where the competition 
is  fierce across borders and 
channels,  data analytics has 
been disrupting  the industry for 
a while now.
Leveraging meaningful insights,  
businesses can deliver more  
targeted promotions, better-  
focused goods, and services and 
 uncover continual opportunities 
for  growth.
Here is a 
closer  look at 
5 ways  data 
analytics is  
being used to  
disrupt retail  
today.
1) 
Understand
ing  Data analytics that 
Customer  tracks  customer 
Behaviors behaviors help  
retailers to understand 
 how their customers 
are  shopping, what 
they like  and where 
they prefer to  receive 
promotions.
2. In-
Store  
Experien The in-store 
ce experience  is critical 
Tracking today. One way  data 
analytics can  improve 
merchandising  is 
through tracking.
3. Better 
 
Promotion
s Improving conversion  
rates is essential in 
retail  as online real 
estate for  goods 
continues to be
flooded.
4. Tracking 
the  Customer 
Getting a full view of 
Journey this  helps reduce cart  
abandonment, 
increases  the 
likelihood of closing a  
sale and helps retailers 
 understand how to 
best  guide customers 
to  complete the 
buying  process.
5. Operational 
and  Supply 
Chain The data can be used 
Improvement for  everything from 
s product  tracking to 
improved  quality, real-
time  inventory 
management,  and 
better forecasting.
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