Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Data Mining In Retail
Industries
Presented By-
Rahul
Bca SemVI
23
Contents
 What is data mining?
 Why data mining is required?
 Data mining Applications
 Data mining in Retail Industry...
What is Data mining?
 Data mining refers to extracting or “mining”
knowledge from large amounts of data. Also
referred as...
Why data mining is required?
 Rapid computerization of businesses
produce huge amount of data
 How to make best use of d...
Data mining Applications
Data mining is an interdisciplinary field with wide
and diverse applications
There exist nontri...
Data mining in Retail Industry
 Retail industry: huge amounts of data on sales,
customer shopping history, etc.
 Applica...
Marketing
 ‘Market basket analysis’ is a marketing method used by many
retailers.
 The study of retail stock movement da...
Risk Management
 Retail organizations use data mining to understand
which products may be vulnerable to competitive
offer...
Fraud Detection
 Retail shrink because of dishonest employees.
 Some super-markets use CCTV, along with data
mining, to ...
Customer Acquisition and Retention
 Data mining helps in acquiring and retaining
customers in the retail industry.
 Reta...
Data Mining in Retail Industries
Upcoming SlideShare
Loading in …5
×

Data Mining in Retail Industries

11,142 views

Published on

What is data mining?
Why data mining is required?
Data mining Applications
Data mining in Retail Industry
Marketing
Risk Management
Fraud Detection
Customer Acquisition and Retention

Published in: Education
  • Dating direct: ❶❶❶ http://bit.ly/2Qu6Caa ❶❶❶
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Sex in your area is here: ❤❤❤ http://bit.ly/2Qu6Caa ❤❤❤
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Making a living taking surveys at home! I have been a stay at home mom for almost 5 years and I am so excited to be able to still stay home, take care of my children and make a living taking surveys on my own computer! It's so easy to get started and I plan to make enough money each week so that my husband can actuallly quit his second job!!! Thank you so much! ➤➤ https://tinyurl.com/vd3y33w
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here

Data Mining in Retail Industries

  1. 1. Data Mining In Retail Industries Presented By- Rahul Bca SemVI 23
  2. 2. Contents  What is data mining?  Why data mining is required?  Data mining Applications  Data mining in Retail Industry  Marketing  Risk Management  Fraud Detection  Customer Acquisition and Retention
  3. 3. What is Data mining?  Data mining refers to extracting or “mining” knowledge from large amounts of data. Also referred as Knowledge Discovery in Databases.  It is a process of discovering interesting knowledge from large amounts of data stored either in databases, data warehouses, or other information repositories.
  4. 4. Why data mining is required?  Rapid computerization of businesses produce huge amount of data  How to make best use of data?  A growing realization: knowledge discovered from data can be used for competitive advantage.
  5. 5. Data mining Applications Data mining is an interdisciplinary field with wide and diverse applications There exist nontrivial gaps between data mining principles and domain-specific applications Some application domains Financial data analysis Retail industry Telecommunication industry Biological data and DNA analysis
  6. 6. Data mining in Retail Industry  Retail industry: huge amounts of data on sales, customer shopping history, etc.  Applications of retail data mining  Identify customer buying behaviors  Discover customer shopping patterns and trends  Improve the quality of customer service  Achieve better customer retention and satisfaction  Enhance goods consumption ratios  Design more effective goods transportation and distribution policies
  7. 7. Marketing  ‘Market basket analysis’ is a marketing method used by many retailers.  The study of retail stock movement data recorded at a Point of Sale (PoS)—to support decisions on shelf-space allocation, store layout, product location and promotion effectiveness.  Another marketing tactic employed by many retail stores is the use of ‘loyalty’ cards and coupons.
  8. 8. Risk Management  Retail organizations use data mining to understand which products may be vulnerable to competitive offers or changing customer purchasing patterns.  Data mining enables retailers to remain competitive and reduce risks by helping them understand what their customers are really doing.  Retailers can then target those customers who are more likely to buy a certain brand or product.
  9. 9. Fraud Detection  Retail shrink because of dishonest employees.  Some super-markets use CCTV, along with data mining, to enable retail loss prevention to expose cashier stealing.  Loss of data, credit card fraud, duplicate payment can be avoided with the help of data mining.
  10. 10. Customer Acquisition and Retention  Data mining helps in acquiring and retaining customers in the retail industry.  Retail industry deals with high levels of competition, and can use data mining to better understand customers’ needs.  Retailer can study customers’ past purchasing histories and know with what kinds of promotions and incentives to target customers.

×