IE Data Disrupt 2016: CPG and Retail’s Journey towards Customer Centricity
-
Upload
roosi-maegi -
Category
Data & Analytics
-
view
136 -
download
0
Transcript of IE Data Disrupt 2016: CPG and Retail’s Journey towards Customer Centricity
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
https://www.youtube.com/watch?v=3e7FtmpoGO8
IN STORE TECHNOLOGYTREND
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
THANK YOU Sokho Trinh | [email protected]