ibm presentation unlocking new insights in dark data
TRANSCRIPT
Unlocking New Insights in Dark Data
Samson TAI IBM Distinguished Engineer Chief Technologist, IBM HK
The future world of perfectly personalized customer engagement is (almost) here…
Data that’s
coming
Customer records
Transactional systems
Predictive models
Institutional expertise
Operational systems
News
Events
Geospatial
Weather
Social media
Internet of Things
Sensory data
Images
Video
Data outside
your firewall
Data you
possess +
3
+
Your digital intelligence is your competitive advantage
Structured and active Unstructured and dark
4
Think of all that has been
accomplished using only
a fraction of the
available data
Unlock the
possibilities.
Only cognitive unlocks the potential in all data
What answers lie in the 88% that is dark?1
By the year 2020, about 1.7 MB of new information will be created every second, for every human being on the planet.2
Money buys happiness when spending fits our personality
5
Personality Insight
Emotion Writing Social
Matching the Brand Profile to the Consumer Profile
Insights from Video and Picture
7
Visual Insights for Customer Segmentation Extract customer demographic, emotions, and interests for target advertising and promotion
https://www.youtube.com/watch?v=FETYt6_QYF4 https://visual-recognition-demo.mybluemix.net/
Extract Event Data from Photo uploaded to Social Media
9
Content Analysis of Competitors’ Advertising Visuals
10
Content Analysis of Advertising Visuals Summary
11
Gain Further Customer Insight with Location Data
SHOPS by brand
Likes to BROWSE
BARGAIN Shopper
Engage In-Store Shoppers In Real Time
THE HEART OF THE CUSTOMER MANAGEMENT NEED TO COMBINE
ALL THE DATA
Demographicdata
Transactiondata
Interactiondata
Behavioraldata
Transactions
Orders
Paymenthistory
Usage history
Email / Chat
Call center notes
Web click-
streamsIn-person dialogs
Opinions
Prefer-ences
Desires
Needs
Character-istics
Demo-graphics
Attributes
Purchasestage
From IT System
Structured Data From IT
System
Structured
Data
From Interaction
Un-Structured
Data
From Internet
Un-Structured Data
Plus Data not directly related
to the customer:
Weather, Events, Holidays,
Competitors, Politics etc.
15
Thank You
16
Use Case
17
Shopper Characteristics
Detected
Shopper Behaviors Detected