Sok-ho Trinh Vice President Europe Analytics | Genpact

HOW BIG DATA DISRUPT THE RETAIL INDUSTRY

Photos: sourced in google

CHALLENGES

Given that nearly one-third of retailers are in the dark about their available data, it makes sense that silos are the primary hurdle in using this information

Challenges to Using Big Data

51%

Lack of sharing data is an obstacle to measuring

marketing ROI

45%

Not using data effectively to personalize marketing

communications

42%

Not able to link data together at the individual

customer level

39%

Data collected too infrequently or not quickly

enough

29%

Too little or no customer/consumer

data

Based on where retailers are investing (or are planning to invest) their resources, they see the value in creating more sophisticated omnichannel marketing efforts.

Goals for Using Big Data

Merchandising

Marketing

Ecommerce/Multichannel

Supply Chain

Store Operations

Operations

62%

60%

44%

29%

25%

14%

Retailers Plan to Focus their Big Data Initiativeson Improving

Marketing

Ecommerce/Multichannel

Merchandising

Store Operations

Supply Chain

Operations

29.6%

20.4%

20.4%

13.0%

9.3%

3.7%

But they Expect to Deploy their First Big DataProjects in

Source: monetate.com/ retailers’ guide to big data

OPPORTUNITIES

33%more revenue growth and 12x more profit growth for Enterprises that apply advanced analytics

2Xtwice as likely for leaders to be in the top quartile of their respective industries by using Analytics

49%of those leveraging analytics achieved customer centric outcomes

50%of potential users by the end of 2014 will be reached out by Analytics

Big Data Disruption

Source: Genpact internal source 2016

MOBILITYTREND

https://www.youtube.com/watch?v=A3Gd52KLP9I

SO-LO-MOTREND

SMS

@

SOCIAL LOCAL MOBILE

Photos: sourced in google

MACHINE LEARNINGTREND

Photo: sourced in Google.com

https://www.youtube.com/watch?v=3e7FtmpoGO8

IN STORE TECHNOLOGYTREND

MONETIZATIONTREND

$$$$

$

$ $$$$

$

THE FUTURE (1/3)FUTURE

Digitize

Automate

Advance

Cont’Learn

“That which can’t be digitized cannot be

automated”

“Resources where you need them, machines

where you don’t”

“Capitalizing on patterns in data to

detect opportunities”

“Gaining insight from data from across the

enterprise”

1

2

3

4

THE FUTURE (2/3)FUTURE

High DataControl

Low DataControl

RationalEngagement

EmotionalEngagement

PAY TOPLAY

OFFERANARCHY

THE HUNTFOR

AFFINITY

REALRELATIONSHIPS

Source: Aimia Inc

THE FUTURE (3/3)TREND

ENTRANCE

EXIT

BIG DATANEXT EXIT

THANK YOU Sokho Trinh | sok-ho.trinh@genpact.com