Big Introduction What is Big Data? *The term “big
Description: Big Introduction What is Big Data? The term big data refers to data So large Fast Complex Difficult or impossible to process using traditional methods Types of Big data- Structured Unstructured Semi-structured Big data as the three
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slide1. Big<br>
slide2. Introduction What is Big Data? *The term “big data” refers to data
So large
Fast
Complex
*Difficult or impossible to process using traditional methods *Types of Big data-
Structured
Unstructured
Semi-structured
*Big data as the three V’s:
Volume
Velocity
Variety<br>
slide3. Big Data Analytics in E-commerce Big Data Analytics the process of-
Examining
Analyzing
Uncovering
Using Big Data Analytics, you can uncover various
critical pieces of information such as Hidden data patterns from Big Data Market Trends Customer Preferences Customer Loyalty<br>
slide4. Types of big data used in E-commerce Transaction or business activity data
Customer profiles maintained by the company
The occurrence of customer complaints
Click-stream data
Web and online advertisements
Social media content
Video data
Live images
Live video
Voice data
Phone Calls
Call Centre Amazon
eBay
Zappos
Alibaba Netflix To predict viewing habits To evaluate the quality of experiences To use and track data related to call center activities American Express To predict customer preferences and tastes<br>
slide5. Aims of this article To identify definitional perspectives of big data analytics
To distinguish the characteristics of big data within e-commerce
To explore the types of big data within e-commerce
To illustrate the business value of big data in e-commerce
To provide guidelines for tackling the challenges of big data application within e-commerce.<br>
slide6. Research approach The study was grounded in a literature review to identify and appraise the knowledge on-
Definitional aspects
Attributes
Types
Business value of BDA
In e-commerce<br>
slide7. Global Growth of e-commerce<br>
slide8. BDA Applications in E-commerce Needs identification (18%)
Market segmentation (11%)
Decision making and performance improvement (36%)
New product/market/business model innovations (17%)
Creating infrastructure and transparency (18%)<br>
slide9. Big data and their distinctive characteristics Voluminous
BDA encompasses large volumes of data used by decision makers for making strategic decisions Variety
The analytic model used by e-commerce firms could comprise a variety of customer information Veracity
These data demand massive verification, requiring full compliance with quality and security issues<br>
slide10. Benefits of Big Data Processing Businesses can utilize outside intelligence while taking decisions
Improved customer service
Early identification of risk to the product/services, if any
Better operational efficiency<br>
slide11. Business Value of Big Data Analytics Personalization
Personalizes service or customizes products
Dynamic pricing
Monitors competing prices and send alerts
Monitors product sales, actions of customers, and any regional or geographical preferences
Customer service
Customers feel valued when they call the service center Predictive analytics
Prediction of consumer behavior and preferences
Supply chain visibility
Customers can track the order while the goods are still in transit
Security and fraud detection
Identifies fraud in real time by combining transaction data with customers’ purchase history, web logs, social feed, and geospatial location data from smartphone apps<br>
slide12. Challenges of Big Data Needs to be complemented by "big judgment“
Vulnerable to risk or misjudgment
E-commerce companies don’t know how to make use of such enormous data
Bandwidth limitations of internet
More powerful and general techniques must be developed
Requires new tools to query and report on the data
Needs to be kept safely and privacy of the user must be maintained
Cannot solve the problem of data integration<br>
slide13. Findings of The Study Presents a useful starting point for the application of BDA in emerging ecommerce research
Also presents an approach for encapsulating all the best practices that build and shape BDA capabilities
Big data analytics (BDA) increasingly provides value to e-commerce firms
BDA and its scope are well defined
Distinctive characteristics and types of big data are well understood
BDA challenges are properly addressed
BDA application will maximize business value<br>
slide2. Introduction What is Big Data? *The term “big data” refers to data
So large
Fast
Complex
*Difficult or impossible to process using traditional methods *Types of Big data-
Structured
Unstructured
Semi-structured
*Big data as the three V’s:
Volume
Velocity
Variety<br>
slide3. Big Data Analytics in E-commerce Big Data Analytics the process of-
Examining
Analyzing
Uncovering
Using Big Data Analytics, you can uncover various
critical pieces of information such as Hidden data patterns from Big Data Market Trends Customer Preferences Customer Loyalty<br>
slide4. Types of big data used in E-commerce Transaction or business activity data
Customer profiles maintained by the company
The occurrence of customer complaints
Click-stream data
Web and online advertisements
Social media content
Video data
Live images
Live video
Voice data
Phone Calls
Call Centre Amazon
eBay
Zappos
Alibaba Netflix To predict viewing habits To evaluate the quality of experiences To use and track data related to call center activities American Express To predict customer preferences and tastes<br>
slide5. Aims of this article To identify definitional perspectives of big data analytics
To distinguish the characteristics of big data within e-commerce
To explore the types of big data within e-commerce
To illustrate the business value of big data in e-commerce
To provide guidelines for tackling the challenges of big data application within e-commerce.<br>
slide6. Research approach The study was grounded in a literature review to identify and appraise the knowledge on-
Definitional aspects
Attributes
Types
Business value of BDA
In e-commerce<br>
slide7. Global Growth of e-commerce<br>
slide8. BDA Applications in E-commerce Needs identification (18%)
Market segmentation (11%)
Decision making and performance improvement (36%)
New product/market/business model innovations (17%)
Creating infrastructure and transparency (18%)<br>
slide9. Big data and their distinctive characteristics Voluminous
BDA encompasses large volumes of data used by decision makers for making strategic decisions Variety
The analytic model used by e-commerce firms could comprise a variety of customer information Veracity
These data demand massive verification, requiring full compliance with quality and security issues<br>
slide10. Benefits of Big Data Processing Businesses can utilize outside intelligence while taking decisions
Improved customer service
Early identification of risk to the product/services, if any
Better operational efficiency<br>
slide11. Business Value of Big Data Analytics Personalization
Personalizes service or customizes products
Dynamic pricing
Monitors competing prices and send alerts
Monitors product sales, actions of customers, and any regional or geographical preferences
Customer service
Customers feel valued when they call the service center Predictive analytics
Prediction of consumer behavior and preferences
Supply chain visibility
Customers can track the order while the goods are still in transit
Security and fraud detection
Identifies fraud in real time by combining transaction data with customers’ purchase history, web logs, social feed, and geospatial location data from smartphone apps<br>
slide12. Challenges of Big Data Needs to be complemented by "big judgment“
Vulnerable to risk or misjudgment
E-commerce companies don’t know how to make use of such enormous data
Bandwidth limitations of internet
More powerful and general techniques must be developed
Requires new tools to query and report on the data
Needs to be kept safely and privacy of the user must be maintained
Cannot solve the problem of data integration<br>
slide13. Findings of The Study Presents a useful starting point for the application of BDA in emerging ecommerce research
Also presents an approach for encapsulating all the best practices that build and shape BDA capabilities
Big data analytics (BDA) increasingly provides value to e-commerce firms
BDA and its scope are well defined
Distinctive characteristics and types of big data are well understood
BDA challenges are properly addressed
BDA application will maximize business value<br>