Hani Saif, CIO eXtra @hanisaifhanisaif

BIG DATA

Facts

Facts90% of the data in the world today was created in the last two years .

US healthcare can save $300B yearly if they leverage big data

2016 :6 Million job will be created to serve new data (2 M IT and the rest non IT)

The total volume of data that the industry captures and stores, gets doubled in every 1.2 years.

Source: GSMA_Global_Mobile_Economy_Report_2015

Facts

FactsFor a typical Fortune 1000 company, just a 10% increase in data accessibility will result in more than $65 million additional net income.

Within five years there will be over 50 billion smart connected devices in the world, all developed to collect, analyze and share data.

Retailers who leverage the full power of big data could increase their operating margins by as much as 60%.

Facts

Content is a cost

But data is an opportunity

What is the Big data voluminous amount of

structured, unstructured and semi-structured

dataCannot be stored

in RDBMS

Three Characteristics of Big Data 3Vs

Volume

Velocity

Variety

Data at scale Teradbytes to Petabytes “facebook 25TB of data daily”

The speed at which new data is generated “500 million tweets daily”

Data is usually in various formats, structure and unstructured Audio file ,Video file“Text messages , location coordinates ..etc”

Traditional data vs Big Data

Traditional Data• Control on data creation • Manageable volume• Structured ,RDBMS is the right tool• Query Language can be used •

Big Data• Uncontrolled creation of data• Very large volumes • Unstructured, need different tool to

manage• Query language cannot be used

Where does these data go ?Big Data

Repository

Data Processing

Business Analytics Software

Actionable Data

From Row Date to Actionable Date

Demand Forecasting

Inventory Forecasting

Trend Forecasting

Dynamic Pricing

Planning Product Promotion

Timely Offers

Big Data

How does big data works

Identifies the Prospect via Smartphone Etc.

Looks for Prospect

Location & Profile

Information

Feeds the Profile of Prospect into Real-Time Expert

System

Big Data Repository

AnalysisProcessing

Offer the best deal for this individual customer

25% off on bundle book

purchase

New book Arrived on author

“X”

Gift CouponOn birthday

35% off onPre-Holiday

SeasonStart Offers

How to Process the data for Retailer?

“ The worst form of inequality is to try to make

unequal things equal ”Aristotle

Customer Segmentation

Predictive Modeling

Its not an either / Or decision

Customer segmentation is the practice of classifying your customer base into distinct groups. This separation of customers into unique groups is often based on multidimensional customer information such as; observed customer purchase and product usage behavior, demographic and lifestage characteristics, or even self-reported product / service preferences, needs and attitudes

Definition and Application

Source: IKNOWTION

Predictive modeling is the practice of forecasting future customer behaviors and propensities and assigning a score or ranking to each customer that depicts their anticipated actions. As is the case in segmentation, multi-dimensional customer information is leveraged to identify and isolate customer characteristics that are highly correlated with targeted outcomes.

Definition and Application

Source: IKNOWTION

This Lead to…… Retain Customers ..make them Loyal

Better marketing effectiveness

Having the right assortment

Better Inventory Optimization

Maximize the Sales

Maximize the Profit

Fraud detection

Big Data is

an IT Decision

A Business Decision

Sponsorship

Source: IBM

Don’t forget to measure the

Thank you for listening