BIG DATA IN E-COMMERCE

A GUIDE FOR SMALL BUSINESS

BIG DATA ISDATA SETS THAT ARE SO LARGE OR COMPLEXTHAT TRADITIONAL DATA PROCESSINGAPPLICATIONS ARE INADEQUATETO DEAL WITH THEM

STRUCTUREDDATA

CUSTOMER DATA(NAME, POSTALADDRESS, E-MAILADDRESS, PHONENUMBER)

TRANSACTIONALDATA (PRODUCT ID2342 ORDERED ONJAN 4, 2017 BY USERI 3576576)

PRODUCT RELATED DATA(PRODUCT CATEGORY,SIZE, TECHNICAL SPECS,PRICE, COLOR ETC.)

UNSTRUCTUREDDATA

TWITTER POSTS

FACEBOOK LIKES

YOUTUBE COMMENTS

OFFERCUSTOMIZEDPROMOTIONS

DECREASERETURNS

&CHURN

INCREASEAVERAGE REVENUE

PER CUSTOMER

INCREASECUSTOMER

LIFETIME VALUE

INCREASEPROFITABILITY

BIG DATA IS QUITESIMPLY

DATA THATCANNOT BE

MANAGED ORANALYZED BYTRADITIONAL

TECHNOLOGIES

REBECCA SHOCKLEY OF IBM

HOW CAN SMBECOMMERCE BENEFITFROM BIG DATAFOR BIG DATA TO BE MEANINGFUL FOR THE SMALLBUSINESSES,

IT NEEDS TO BE TREATED IN SUCH A WAY

THAT THE INSIGHTS SHOULD HELP SMBS ACHIEVE THEIRGOALS.

A CUSTOMISEDAPPROACH TO

BIG DATA ANALYSIS

IS REQUIRED FORHELPING SMBS

BECAUSE .....AN SMB DOES NOT HAVE HUGE BUDGETS OR MASSIVE TEAMS

A BIG DATA STRATEGY FORSMBS SHOULD BE

GOAL ORIENTED

FAST AND FLEXIBLE

BE ABLE TO RETURN HIGHRETURNS IN A SHORT TIME

FRAME

THANKYOU

PERZONALIZATION.COM/RESOURCES

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