The retail industry represents a large portion of the world economy, consists of a large ecosystem, and has experienced some significant challenges and opportunities in recent years.
One rather significant issue is the so called “Showrooming” in which consumers test/compare products and buy them elsewhere. This is a particular problem for Big Box stores that display consumer electronics, major appliances, and other items that can be purchased online yet experienced best in-person.
Issues such as these have forced retailers to get smarter and begin to employ in-depth real time analysis of massive data that is generated on a daily basis through various consumer interactions. The use of Big Data, analytics, and reporting can generate insights that will determine future solutions and opportunities to improve the bottom line for retailers.
Target Audience:
Big Data Service providers
Big Box and Online retailers
Telecommunications service providers
Online and Mobile Marketing companies
E-commerce and Mobile Commerce providers
One rather significant issue is the so called “Showrooming” in which consumers test/compare products and buy them elsewhere. This is a particular problem for Big Box stores that display consumer electronics, major appliances, and other items that can be purchased online yet experienced best in-person.
Issues such as these have forced retailers to get smarter and begin to employ in-depth real time analysis of massive data that is generated on a daily basis through various consumer interactions. The use of Big Data, analytics, and reporting can generate insights that will determine future solutions and opportunities to improve the bottom line for retailers.
Target Audience:
Big Data Service providers
Big Box and Online retailers
Telecommunications service providers
Online and Mobile Marketing companies
E-commerce and Mobile Commerce providers
EXECUTIVE SUMMARY 5
INTRODUCTION 6
WHAT IS BIG DATA? 6
Volume 6
Variety 6
Velocity 7
BIG DATA CATEGORIES 7
Structured Big Data 7
Un-structured data 7
Semi-structured data 7
DATA MINING 7
Data mining techniques 8
DATA WAREHOUSING 8
IMPORTANCE OF BIG DATA 8
Pattern Discovery 9
Decision Making 9
Process Invention 9
Increasing Revenue 9
BIG DATA GROWTH DRIVERS 9
Awareness 9
Software 9
Services 9
Investment 10
BIG DATA CHALLENGES 10
Data Challenges 10
Process Challenges 11
Management Challenges 11
BIG DATA TECHNOLOGY 11
Sensors 11
Computer networks 11
Data storage 12
Cluster computer systems 12
Cloud computing facilities 12
Data analysis algorithms 12
RETAIL MERCHANT CHALLENGES 13
NEW ONLINE SHOPPING DYNAMICS 13
BIG DATA IN RETAIL 15
BIG DATA BUSINESS USAGE 15
Direct Mail Marketing 15
Customer Relationship Management (CRM) and Customer Profiles 15
Category Management and Inventory Control 16
Market Basket Analysis 16
Web site Analysis and Personalization 16
Additional Possible Retail Applications 16
Gathering Data about Shopping Habits 16
BENEFITS FROM BIG DATA ANALYTICS FOR RETAILS 17
RETAILERS HABITS 18
Retailers Are Innovators 18
Retailers Unlock Big Data. 18
Retailers Maximize Technology Use. 18
Retailers Use Analytics to Personalize Products 18
Retailers Are OmniChannel Oriented. 18
Retailers Measure What Matters. 18
Retailers Stay True To Their Company Strategy. 18
BIG DATA AND RETAIL BUSINESS 19
Volume 19
Velocity 19
Variety 19
Value 19
RELATIONSHIP WITH RETAIL BUSINESS 19
Right Product 20
Right Place 20
Right Time 20
Right Price 20
BIG DATA IN RETAIL BUSINESS CASES 21
CONSUMER ELECTRONICS 21
Best Buy 21
INSOURCESM solution from Experian 21
FOR THE HOME 21
Bed Bath and Beyond (BBB) 21
GENERAL CONSUMER ITEMS INCLUDING FOOD 22
Walmart 22
Social Genome 22
ShoppyCat 23
Get on the Shelf 23
Macy’s 23
SAS® Business Analytics 24
Debenhams 24
Sky IQ 24
Williams-Sonoma 25
BIG DATA FOR RETAILERS BUSINESS MODELS, COMPANIES, AND SOLUTIONS 26
PERSONALIZATION 26
Synqera 26
Synquera Loyalty Generator 26
NGDATA 27
Lily Interactive Big Data Management Solution 27
DYNAMIC PRICING 28
Altierre 28
CUSTOMER SERVICE 29
Retention Science 29
FRAUD MANAGEMENT 30
RSA 31
Transaction Protection by Risk-based Authentication (RBA) 31
SUPPLY CHAIN VISIBILITY 32
Opera Supply Chain Solutions 33
Stock Control 33
Stocktake 33
Sales Order Processing 33
Purchase Order Processing 33
Bill of Materials 33
PREDICTIVE ANALYTICS 33
SumAll 34
SumAll Reporting 34
FUTURE OUTLOOK 36
MORE ABOUT CUSTOMER BEHAVIOR 36
MORE SECURITY 36
DIRECT RELATIONSHIP WITH CONSUMERS 36
MORE MOBILE 36
INTRODUCTION 6
WHAT IS BIG DATA? 6
Volume 6
Variety 6
Velocity 7
BIG DATA CATEGORIES 7
Structured Big Data 7
Un-structured data 7
Semi-structured data 7
DATA MINING 7
Data mining techniques 8
DATA WAREHOUSING 8
IMPORTANCE OF BIG DATA 8
Pattern Discovery 9
Decision Making 9
Process Invention 9
Increasing Revenue 9
BIG DATA GROWTH DRIVERS 9
Awareness 9
Software 9
Services 9
Investment 10
BIG DATA CHALLENGES 10
Data Challenges 10
Process Challenges 11
Management Challenges 11
BIG DATA TECHNOLOGY 11
Sensors 11
Computer networks 11
Data storage 12
Cluster computer systems 12
Cloud computing facilities 12
Data analysis algorithms 12
RETAIL MERCHANT CHALLENGES 13
NEW ONLINE SHOPPING DYNAMICS 13
BIG DATA IN RETAIL 15
BIG DATA BUSINESS USAGE 15
Direct Mail Marketing 15
Customer Relationship Management (CRM) and Customer Profiles 15
Category Management and Inventory Control 16
Market Basket Analysis 16
Web site Analysis and Personalization 16
Additional Possible Retail Applications 16
Gathering Data about Shopping Habits 16
BENEFITS FROM BIG DATA ANALYTICS FOR RETAILS 17
RETAILERS HABITS 18
Retailers Are Innovators 18
Retailers Unlock Big Data. 18
Retailers Maximize Technology Use. 18
Retailers Use Analytics to Personalize Products 18
Retailers Are OmniChannel Oriented. 18
Retailers Measure What Matters. 18
Retailers Stay True To Their Company Strategy. 18
BIG DATA AND RETAIL BUSINESS 19
Volume 19
Velocity 19
Variety 19
Value 19
RELATIONSHIP WITH RETAIL BUSINESS 19
Right Product 20
Right Place 20
Right Time 20
Right Price 20
BIG DATA IN RETAIL BUSINESS CASES 21
CONSUMER ELECTRONICS 21
Best Buy 21
INSOURCESM solution from Experian 21
FOR THE HOME 21
Bed Bath and Beyond (BBB) 21
GENERAL CONSUMER ITEMS INCLUDING FOOD 22
Walmart 22
Social Genome 22
ShoppyCat 23
Get on the Shelf 23
Macy’s 23
SAS® Business Analytics 24
Debenhams 24
Sky IQ 24
Williams-Sonoma 25
BIG DATA FOR RETAILERS BUSINESS MODELS, COMPANIES, AND SOLUTIONS 26
PERSONALIZATION 26
Synqera 26
Synquera Loyalty Generator 26
NGDATA 27
Lily Interactive Big Data Management Solution 27
DYNAMIC PRICING 28
Altierre 28
CUSTOMER SERVICE 29
Retention Science 29
FRAUD MANAGEMENT 30
RSA 31
Transaction Protection by Risk-based Authentication (RBA) 31
SUPPLY CHAIN VISIBILITY 32
Opera Supply Chain Solutions 33
Stock Control 33
Stocktake 33
Sales Order Processing 33
Purchase Order Processing 33
Bill of Materials 33
PREDICTIVE ANALYTICS 33
SumAll 34
SumAll Reporting 34
FUTURE OUTLOOK 36
MORE ABOUT CUSTOMER BEHAVIOR 36
MORE SECURITY 36
DIRECT RELATIONSHIP WITH CONSUMERS 36
MORE MOBILE 36
For more information, please visit:
Or email us at contact@aarkstore.com or call +919272852585
Aarkstore Enterprise
Tel : +912227453309
Mobile No:+08149852585
Email : contact@aarkstore.com
Website : http://www.aarkstore.com
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