SlideShare a Scribd company logo
Dashboard 1
2
1
Big Data Science
Online Retail Store Analysis
Submitted to : Dr Jongwook Woo
24th Annual Student Symposium,CSULA
Submitted By : Rajeev Singh , Manvi Chandra
Richa Kankarej
California State University, Los Angeles
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
Introduction…
 Industry : Online Retail (Canadian Company)
 In this foundational white paper, we used
Microsoft Azure, Hadoop, Hive, Spark and Apriori
Algorithm to model and analyze bid data for
GroupX
 Requirements : Analyzed 3 years of historical
data for peak sales and high net revenue
generating customers
Submissions
20
Go Big OR Go Home….
21
Retail Industry – It (Online & Offline) is huge of approx.
8 Trillion USD
Extrapolation – From weather patterns, search/browsing
trends, social networks, industry forecasts, existing
customer records
Predict – Instore sales, predict product trends, forecast
demand, pinpoint customer, optimize pricing and
promotions
Leverage to Retailers – Fewer sotckouts, higher visit to
buy ratio, better anticipation and response to market
shifts.
Retail Oligopoly – A market structure where only few
firms dominate.
Go Big …
Flow Diagram
22
Hive Query for Valued Customer
23
Hive Query for Sale Trend
24
Spark Product SubCatg v/s Sum(sales)
25
Spark Province v/s sum(sales)
26
Spark Customer Segment v/s Sum(Sales)
27
28
Query In Hive In Spark
Sales in Province 56.01 sec 16.2 sec
Holiday Trend 4.21 sec 2.4 sec
Product SubCatg and Sum(Sales) 62.8 sec 8.7 sec
Customer Segment and Sum(Sales) 74.14 sec 5.8 sec
Time comparison of Hive and Spark Query
Apriori Algorithm / Predictive Analytics
 For frequent item set mining over transactional databases
 To determine association rules which highlight general trends in
the database
 This has applications in domains such as market basket analysis
 SAP Predictive Analytics
29
Rules between SubCatg, Container, Ship Mode
30
Rules Confidence
{SubCatg=Binders and Binder Accessories} =>
{Container=Small Box}
1
{SubCatg=Binders and Binder Accessories} =>
{Ship_Mode=Regular Air}
0.88
{Container=Small Pack} => {Ship_Mode=Regular Air} 0.87
{Container=Wrap Bag} => {Ship_Mode=Regular Air} 0.88
{SubCatg=Paper} => {Ship_Mode=Regular Air} 0.87
31
Representation of Rules
Holiday Trend graph
32
Conclusion/Learnings
• No co-relation in Holiday season and an increase in sales for GroupX
• Spark is faster than Hive
• What steps can GroupX take to increase its YoY(Year on Year)
revenues
33
References
 References
 What is Hive?
 http://www-01.ibm.com/software/data/infosphere/hadoop/hive/.
 Introduction to Hadoop in HDInsight: Big-data analysis and processing in the
cloud. https://azure.microsoft.com/en-us/documentation/articles/hdinsight-
hadoop-introductin
34
Dashboard 1
2
35
Thank You
Q & A

More Related Content

What's hot

Retail merchandising
Retail merchandisingRetail merchandising
Retail merchandising
Prithvi Ghag
 
Assortment planning
Assortment planningAssortment planning
Assortment planning
Delwin Arikatt
 
RETAIL SALES FORECASTING : CONCEPT AND ISSUES
RETAIL SALES FORECASTING : CONCEPT AND ISSUESRETAIL SALES FORECASTING : CONCEPT AND ISSUES
RETAIL SALES FORECASTING : CONCEPT AND ISSUES
romeo_reet
 
Retail Sector Analysis PowerPoint Presentation Slides
Retail Sector Analysis PowerPoint Presentation SlidesRetail Sector Analysis PowerPoint Presentation Slides
Retail Sector Analysis PowerPoint Presentation Slides
SlideTeam
 
Assortment Planning Process
Assortment Planning ProcessAssortment Planning Process
Assortment Planning Process
Elaiza Kathrize Ramos
 
Ounass strategy for india
Ounass strategy for indiaOunass strategy for india
Ounass strategy for india
Subrat Kumar Dash
 
Introduction to Retail
Introduction to RetailIntroduction to Retail
Introduction to Retail
Amitabh Mishra
 
Pepperfry case study consumer behaviour
Pepperfry case study   consumer behaviourPepperfry case study   consumer behaviour
Pepperfry case study consumer behaviour
Bonny V Pappachan
 
Data analytics in retail
Data analytics in retailData analytics in retail
Data analytics in retail
tanyazyabkina
 
Retail selling process 2 (2)
Retail selling process 2 (2)Retail selling process 2 (2)
Retail selling process 2 (2)
Carmel College For women
 
Recent marketing trends in retailing
Recent marketing trends in retailingRecent marketing trends in retailing
Recent marketing trends in retailing
StrongPoint Baltics
 
Indian retail ppt
Indian retail pptIndian retail ppt
Indian retail ppt
Ramendra Tripathi
 
sales management
sales managementsales management
sales management
Ãbhîläşh Mãňü
 
Amazon go feasibility study
Amazon go feasibility studyAmazon go feasibility study
Amazon go feasibility study
Ammine Ait
 
Retail industry ppt
Retail industry pptRetail industry ppt
Retail industry ppt
Shruti Srivastava
 
Industrial purchasing system
Industrial purchasing systemIndustrial purchasing system
Industrial purchasing system
Dr. Chandra Shekhar Singh
 
Introduction to consumer behavior
Introduction to consumer behaviorIntroduction to consumer behavior
Introduction to consumer behavior
Puspanjali Bhandari
 
Consumer Insights PowerPoint Presentation Slides
Consumer Insights PowerPoint Presentation Slides Consumer Insights PowerPoint Presentation Slides
Consumer Insights PowerPoint Presentation Slides
SlideTeam
 
Ikea India - Business & Pricing Strategy
Ikea India - Business & Pricing StrategyIkea India - Business & Pricing Strategy
Ikea India - Business & Pricing Strategy
Rebin J Anselm
 
Personal selling skills
Personal selling skillsPersonal selling skills
Personal selling skills
Dr.Sujata Bolake
 

What's hot (20)

Retail merchandising
Retail merchandisingRetail merchandising
Retail merchandising
 
Assortment planning
Assortment planningAssortment planning
Assortment planning
 
RETAIL SALES FORECASTING : CONCEPT AND ISSUES
RETAIL SALES FORECASTING : CONCEPT AND ISSUESRETAIL SALES FORECASTING : CONCEPT AND ISSUES
RETAIL SALES FORECASTING : CONCEPT AND ISSUES
 
Retail Sector Analysis PowerPoint Presentation Slides
Retail Sector Analysis PowerPoint Presentation SlidesRetail Sector Analysis PowerPoint Presentation Slides
Retail Sector Analysis PowerPoint Presentation Slides
 
Assortment Planning Process
Assortment Planning ProcessAssortment Planning Process
Assortment Planning Process
 
Ounass strategy for india
Ounass strategy for indiaOunass strategy for india
Ounass strategy for india
 
Introduction to Retail
Introduction to RetailIntroduction to Retail
Introduction to Retail
 
Pepperfry case study consumer behaviour
Pepperfry case study   consumer behaviourPepperfry case study   consumer behaviour
Pepperfry case study consumer behaviour
 
Data analytics in retail
Data analytics in retailData analytics in retail
Data analytics in retail
 
Retail selling process 2 (2)
Retail selling process 2 (2)Retail selling process 2 (2)
Retail selling process 2 (2)
 
Recent marketing trends in retailing
Recent marketing trends in retailingRecent marketing trends in retailing
Recent marketing trends in retailing
 
Indian retail ppt
Indian retail pptIndian retail ppt
Indian retail ppt
 
sales management
sales managementsales management
sales management
 
Amazon go feasibility study
Amazon go feasibility studyAmazon go feasibility study
Amazon go feasibility study
 
Retail industry ppt
Retail industry pptRetail industry ppt
Retail industry ppt
 
Industrial purchasing system
Industrial purchasing systemIndustrial purchasing system
Industrial purchasing system
 
Introduction to consumer behavior
Introduction to consumer behaviorIntroduction to consumer behavior
Introduction to consumer behavior
 
Consumer Insights PowerPoint Presentation Slides
Consumer Insights PowerPoint Presentation Slides Consumer Insights PowerPoint Presentation Slides
Consumer Insights PowerPoint Presentation Slides
 
Ikea India - Business & Pricing Strategy
Ikea India - Business & Pricing StrategyIkea India - Business & Pricing Strategy
Ikea India - Business & Pricing Strategy
 
Personal selling skills
Personal selling skillsPersonal selling skills
Personal selling skills
 

Viewers also liked

Target Analysis
Target AnalysisTarget Analysis
Target Analysis
Josephine Porto
 
Retail Store Manager App for iPhone & iPad by Supernova Tech
Retail Store Manager App for iPhone & iPad by Supernova TechRetail Store Manager App for iPhone & iPad by Supernova Tech
Retail Store Manager App for iPhone & iPad by Supernova Tech
SuperNova Tech
 
Sales reports every sales manager should be reviewing
Sales reports every sales manager should be reviewingSales reports every sales manager should be reviewing
Sales reports every sales manager should be reviewing
MyLMS Inc.
 
Monthly Operations Review
Monthly Operations ReviewMonthly Operations Review
Monthly Operations Review
SQALab
 
State of-sales-report-salesforce
State of-sales-report-salesforceState of-sales-report-salesforce
State of-sales-report-salesforce
Givers
 
Monthly_Sales_Report
Monthly_Sales_Report Monthly_Sales_Report
Monthly_Sales_Report
Mae Jean Abrea
 
Retail sales reporting & analysis
Retail sales reporting & analysisRetail sales reporting & analysis
Retail sales reporting & analysis
Retail EDI
 
Sales Performance Presentation
Sales Performance PresentationSales Performance Presentation
Sales Performance Presentation
Zaka Ul Hassan
 
Sales report analysis and recommendation
Sales report analysis and recommendationSales report analysis and recommendation
Sales report analysis and recommendation
Denny Nugroho
 

Viewers also liked (9)

Target Analysis
Target AnalysisTarget Analysis
Target Analysis
 
Retail Store Manager App for iPhone & iPad by Supernova Tech
Retail Store Manager App for iPhone & iPad by Supernova TechRetail Store Manager App for iPhone & iPad by Supernova Tech
Retail Store Manager App for iPhone & iPad by Supernova Tech
 
Sales reports every sales manager should be reviewing
Sales reports every sales manager should be reviewingSales reports every sales manager should be reviewing
Sales reports every sales manager should be reviewing
 
Monthly Operations Review
Monthly Operations ReviewMonthly Operations Review
Monthly Operations Review
 
State of-sales-report-salesforce
State of-sales-report-salesforceState of-sales-report-salesforce
State of-sales-report-salesforce
 
Monthly_Sales_Report
Monthly_Sales_Report Monthly_Sales_Report
Monthly_Sales_Report
 
Retail sales reporting & analysis
Retail sales reporting & analysisRetail sales reporting & analysis
Retail sales reporting & analysis
 
Sales Performance Presentation
Sales Performance PresentationSales Performance Presentation
Sales Performance Presentation
 
Sales report analysis and recommendation
Sales report analysis and recommendationSales report analysis and recommendation
Sales report analysis and recommendation
 

Similar to RETAIL STORE ANALYSIS

Unit 2 Chapter 4.pdf
Unit 2 Chapter 4.pdfUnit 2 Chapter 4.pdf
Unit 2 Chapter 4.pdf
mmdspgl
 
Big Data Analytics for Predicting Consumer Behaviour
Big Data Analytics for Predicting Consumer BehaviourBig Data Analytics for Predicting Consumer Behaviour
Big Data Analytics for Predicting Consumer Behaviour
IRJET Journal
 
NOW 2022 Conference Lora Cecere
NOW 2022  Conference Lora CecereNOW 2022  Conference Lora Cecere
NOW 2022 Conference Lora Cecere
Lora Cecere
 
Powering Supply Chain Transformation Through Analytics Innovation
Powering Supply Chain Transformation Through Analytics InnovationPowering Supply Chain Transformation Through Analytics Innovation
Powering Supply Chain Transformation Through Analytics Innovation
loracecere1
 
Introduction to Data Mining
Introduction to Data MiningIntroduction to Data Mining
Introduction to Data Mining
Nofel Elahi
 
Data mining & data warehousing
Data mining & data warehousingData mining & data warehousing
Data mining & data warehousing
Shubha Brota Raha
 
Project report aditi paul1
Project report aditi paul1Project report aditi paul1
Project report aditi paul1
guest9529cb
 
Data analytics and visualization
Data analytics and visualizationData analytics and visualization
Data analytics and visualization
Vini Vasundharan
 
Retail Design
Retail DesignRetail Design
Retail Design
jagishar
 
Pragmatic Guide to Enhanced Data Capabilities
Pragmatic Guide to Enhanced Data CapabilitiesPragmatic Guide to Enhanced Data Capabilities
Pragmatic Guide to Enhanced Data Capabilities
Jeff Potter
 
Pilot Results from Outside-in Planning Testing
Pilot Results from Outside-in Planning TestingPilot Results from Outside-in Planning Testing
Pilot Results from Outside-in Planning Testing
SupplychainInsights
 
Future of Tracking: Transforming how we do it not what we do
Future of Tracking: Transforming how we do it not what we doFuture of Tracking: Transforming how we do it not what we do
Future of Tracking: Transforming how we do it not what we do
Kantar
 
Association Mining
Association Mining Association Mining
Association Mining
Edureka!
 
Zyme Using Analytics To White Paper
Zyme Using Analytics To White PaperZyme Using Analytics To White Paper
Zyme Using Analytics To White Paper
Amit Kumar
 
Building blocks of Sales & Operations Planning (S&OP)
Building blocks of Sales & Operations Planning (S&OP)Building blocks of Sales & Operations Planning (S&OP)
Building blocks of Sales & Operations Planning (S&OP)
Sandeep Gupta
 
Supply Chain Management, Demand and Customer Service
Supply Chain Management, Demand and Customer ServiceSupply Chain Management, Demand and Customer Service
Supply Chain Management, Demand and Customer Service
Rajendran Ananda Krishnan
 
Sears mdm lunch and learn attribute section final
Sears mdm lunch and learn attribute section finalSears mdm lunch and learn attribute section final
Sears mdm lunch and learn attribute section final
Marco Arratia
 
Retail lessons learned from the first data driven business and future direct...
Retail  lessons learned from the first data driven business and future direct...Retail  lessons learned from the first data driven business and future direct...
Retail lessons learned from the first data driven business and future direct...
TUSHAR GARG
 
Final presentation
Final presentationFinal presentation
Final presentation
Guilherme Soares
 
Making the Most of Customer Data
Making the Most of Customer DataMaking the Most of Customer Data
Making the Most of Customer Data
WSO2
 

Similar to RETAIL STORE ANALYSIS (20)

Unit 2 Chapter 4.pdf
Unit 2 Chapter 4.pdfUnit 2 Chapter 4.pdf
Unit 2 Chapter 4.pdf
 
Big Data Analytics for Predicting Consumer Behaviour
Big Data Analytics for Predicting Consumer BehaviourBig Data Analytics for Predicting Consumer Behaviour
Big Data Analytics for Predicting Consumer Behaviour
 
NOW 2022 Conference Lora Cecere
NOW 2022  Conference Lora CecereNOW 2022  Conference Lora Cecere
NOW 2022 Conference Lora Cecere
 
Powering Supply Chain Transformation Through Analytics Innovation
Powering Supply Chain Transformation Through Analytics InnovationPowering Supply Chain Transformation Through Analytics Innovation
Powering Supply Chain Transformation Through Analytics Innovation
 
Introduction to Data Mining
Introduction to Data MiningIntroduction to Data Mining
Introduction to Data Mining
 
Data mining & data warehousing
Data mining & data warehousingData mining & data warehousing
Data mining & data warehousing
 
Project report aditi paul1
Project report aditi paul1Project report aditi paul1
Project report aditi paul1
 
Data analytics and visualization
Data analytics and visualizationData analytics and visualization
Data analytics and visualization
 
Retail Design
Retail DesignRetail Design
Retail Design
 
Pragmatic Guide to Enhanced Data Capabilities
Pragmatic Guide to Enhanced Data CapabilitiesPragmatic Guide to Enhanced Data Capabilities
Pragmatic Guide to Enhanced Data Capabilities
 
Pilot Results from Outside-in Planning Testing
Pilot Results from Outside-in Planning TestingPilot Results from Outside-in Planning Testing
Pilot Results from Outside-in Planning Testing
 
Future of Tracking: Transforming how we do it not what we do
Future of Tracking: Transforming how we do it not what we doFuture of Tracking: Transforming how we do it not what we do
Future of Tracking: Transforming how we do it not what we do
 
Association Mining
Association Mining Association Mining
Association Mining
 
Zyme Using Analytics To White Paper
Zyme Using Analytics To White PaperZyme Using Analytics To White Paper
Zyme Using Analytics To White Paper
 
Building blocks of Sales & Operations Planning (S&OP)
Building blocks of Sales & Operations Planning (S&OP)Building blocks of Sales & Operations Planning (S&OP)
Building blocks of Sales & Operations Planning (S&OP)
 
Supply Chain Management, Demand and Customer Service
Supply Chain Management, Demand and Customer ServiceSupply Chain Management, Demand and Customer Service
Supply Chain Management, Demand and Customer Service
 
Sears mdm lunch and learn attribute section final
Sears mdm lunch and learn attribute section finalSears mdm lunch and learn attribute section final
Sears mdm lunch and learn attribute section final
 
Retail lessons learned from the first data driven business and future direct...
Retail  lessons learned from the first data driven business and future direct...Retail  lessons learned from the first data driven business and future direct...
Retail lessons learned from the first data driven business and future direct...
 
Final presentation
Final presentationFinal presentation
Final presentation
 
Making the Most of Customer Data
Making the Most of Customer DataMaking the Most of Customer Data
Making the Most of Customer Data
 

Recently uploaded

一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
bopyb
 
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
v7oacc3l
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more importantChallenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
Sm321
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
manishkhaire30
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Social Samosa
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
jerlynmaetalle
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
74nqk8xf
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
Bill641377
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
javier ramirez
 
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
slg6lamcq
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
v3tuleee
 
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicineIntelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
AndrzejJarynowski
 
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfEnhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
GetInData
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
ahzuo
 
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
74nqk8xf
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
nyfuhyz
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
rwarrenll
 

Recently uploaded (20)

一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
 
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more importantChallenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
 
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
 
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicineIntelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
 
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfEnhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
 
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
 

RETAIL STORE ANALYSIS

  • 1. Dashboard 1 2 1 Big Data Science Online Retail Store Analysis Submitted to : Dr Jongwook Woo 24th Annual Student Symposium,CSULA Submitted By : Rajeev Singh , Manvi Chandra Richa Kankarej California State University, Los Angeles
  • 2. 2
  • 3. 3
  • 4. 4
  • 5. 5
  • 6. 6
  • 7. 7
  • 8. 8
  • 9. 9
  • 10. 10
  • 11. 11
  • 12. 12
  • 13. 13
  • 14. 14
  • 15. 15
  • 16. 16
  • 17. 17
  • 18. 18
  • 19. 19
  • 20. Introduction…  Industry : Online Retail (Canadian Company)  In this foundational white paper, we used Microsoft Azure, Hadoop, Hive, Spark and Apriori Algorithm to model and analyze bid data for GroupX  Requirements : Analyzed 3 years of historical data for peak sales and high net revenue generating customers Submissions 20
  • 21. Go Big OR Go Home…. 21 Retail Industry – It (Online & Offline) is huge of approx. 8 Trillion USD Extrapolation – From weather patterns, search/browsing trends, social networks, industry forecasts, existing customer records Predict – Instore sales, predict product trends, forecast demand, pinpoint customer, optimize pricing and promotions Leverage to Retailers – Fewer sotckouts, higher visit to buy ratio, better anticipation and response to market shifts. Retail Oligopoly – A market structure where only few firms dominate. Go Big …
  • 23. Hive Query for Valued Customer 23
  • 24. Hive Query for Sale Trend 24
  • 25. Spark Product SubCatg v/s Sum(sales) 25
  • 26. Spark Province v/s sum(sales) 26
  • 27. Spark Customer Segment v/s Sum(Sales) 27
  • 28. 28 Query In Hive In Spark Sales in Province 56.01 sec 16.2 sec Holiday Trend 4.21 sec 2.4 sec Product SubCatg and Sum(Sales) 62.8 sec 8.7 sec Customer Segment and Sum(Sales) 74.14 sec 5.8 sec Time comparison of Hive and Spark Query
  • 29. Apriori Algorithm / Predictive Analytics  For frequent item set mining over transactional databases  To determine association rules which highlight general trends in the database  This has applications in domains such as market basket analysis  SAP Predictive Analytics 29
  • 30. Rules between SubCatg, Container, Ship Mode 30 Rules Confidence {SubCatg=Binders and Binder Accessories} => {Container=Small Box} 1 {SubCatg=Binders and Binder Accessories} => {Ship_Mode=Regular Air} 0.88 {Container=Small Pack} => {Ship_Mode=Regular Air} 0.87 {Container=Wrap Bag} => {Ship_Mode=Regular Air} 0.88 {SubCatg=Paper} => {Ship_Mode=Regular Air} 0.87
  • 33. Conclusion/Learnings • No co-relation in Holiday season and an increase in sales for GroupX • Spark is faster than Hive • What steps can GroupX take to increase its YoY(Year on Year) revenues 33
  • 34. References  References  What is Hive?  http://www-01.ibm.com/software/data/infosphere/hadoop/hive/.  Introduction to Hadoop in HDInsight: Big-data analysis and processing in the cloud. https://azure.microsoft.com/en-us/documentation/articles/hdinsight- hadoop-introductin 34