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It’s all about creating rich and relevant customer
experiences tailored to the individual. As data volumes
explode driven by technology advancements, now is
the time to apply hyper-personalisation…
“Personalisation wasn’t supposed to be a
cleverly veiled way to chase prospects around
the web, showing them the same spammy ad
for the same lame stuff as everyone else sees.
No, it is a chance to differentiate at a human
scale, to use behavior as the most important
clue about what people want
and more important, what they need."
Seth Godin
3
WHAT DO WE MEAN BY HYPER PERSONALISATION?
4
5
6
• Physical and Digital Footprint
• Further understanding through Data Science
• What are their emotions, what jobs do they
need to complete, what do they enjoy, how
do they like to interact with you etc
• Enabled by research and brought to life by
customer journey mapping
7
1. Easy, fast and frictionless experiences
2. Valuable and enjoyable interactions
3. Relevant and inspiring content
4. Helpful and friendly service
5. Successful and useful consumer outcomes
“The combined cost
saving effect of
personalisation”
70%“conversation rate
improvement after
personalisation”
15%“Increased profits from
personalisation engines used
to recognise customer intent”
Nearly 40% of consumers have left a
website because they were
overwhelmed by too many options
Accenture
50% of consumers want companies
to be more transparent about how
their data is being used
CBI
71% of marketers feel overwhelmed by
data and 69% feel it's distracting them
from their core marketing duties
Transunion
8
9
2
&
1
3 4
&
1
2
3
4
5
6
7
8
Sensors, Beacons
Cameras, RFID, GPS
Mobile Apps,
AR & VR
Artificial Intelligence, Chat-
bots etc
Cloud computing, data
streaming
Semi-conductors, Edge
Computing
Automation, Machine
Processing
Big Data Warehouse, HDB &
RDB
Machine Learning, BI &
Reporting
1
1
1
2
3
5
6
7
4
8
3
2
4
1
5
6
8
8
DECISION
ENGINE
10
AFFINITY
ATTRIBUTES
- Product & Customer Affinity
- Behavioural Affinity
- Customer Decision Trees
- Product & Customer Attributes
- Product Clusters
- Driven by affinity analytics
11
• Massive processing power
• Billions of customer interactions
• Customer expectation of real-time
• Daily or intra-day
recommendations expected
• Movement towards cloud & SaaS
• Affinity analysis
• Collaborative filtering
• Natural language processing
• Clustering & segmentation
• Transactional data
• Product review data
• Survey on sign up
• Onsite browsing data
• Offsite digital audiences
• Dwell time on browsed pages
• Search terms used onsite
13
WhatWho
WhenWhere
Next Best Item / OfferNext Best Customer / Segment
£
Next Best Channel / Location Next Best Time
14
15
Visualisation of data is key to uncover
insights
The application of Machine Learning
and Analytics within the same platform
as BI enables human led optimisation
Understanding key metrics such as sales
or availability in real-time vs forecasts
enables quicker decisions to be made
1 432
Create personalisation plan
to meet objectives
Uncover insights to inform
personalisation
Define business objectives for
personalisation to support
Undertake analytics & research
to understand customers &
journeys
5 876
Create content, campaign
& experience assets
Orchestrate
personalisation activity
Test, measure, learn,
iterate & optimise
Undertake gap analysis to
inform planning
16
17
Personalisation & Data Strategy
Through our strategic development
framework, we help businesses to prioritise
the customer data initiatives that deliver the
biggest gains and quick wins.
We are experts in applying advanced analytics
and machine learning & AI to the complexities of
customer data whilst being fully focused on the
commercial impact.
Data Science & Machine Learning
We develop real-time personalisation solutions
using proprietary affinity based techniques,
either utilising your existing technology stack, or
delivered through our own SaaS based platform.
Technology & Solutions
t: +44 7930 916861
e: peter@hyper-group.co.uk
t: +44 7900 363790
e: damon@hyper-group.co.uk
t: +44 7736 312165
e: thomas@hyper-group.co.uk
t: +44 7432 284612
e: adam@hyper-group.co.uk
18
AI Right Now
Solving real-world challenges and driving
innovation in business
Neil Dunlop
July 2019
Is AI changing our world?
Help me speak Japanese
AI is hard?
4
misconceptions
1/ Hard to define
2/ Only for big things
3/ Difficult to implement
4/ Won’t deliver R.O.I.
1/ Hard to define
2/ Only for big things
3/ Difficult to implement
AI has poor ROI
4/ Won’t deliver R.O.I.
AI is changing how we do
business...
McKinsey AI Report
2
Case studies of
everyday AI
Case study
1
CS2
Case study
2
CS2
1/ Price
2/ Exclusivity
3/ Redundancy
4
Key Enablers
1/ Available computer power
2/ Accessible algorithms
3/ Lots of data
4/ Structured ways of working
Recommendation
Forecasting
Image & Video Analysis
Document Analysis
Text Analytics
Text To Speech
Speech to Text
Conversation
Translation
Quintillion +
Quintillion +
Quinti
---------------
Lots!
(bytes per day)
AI is becoming a
commodity
AI is getting easier to do
AI is becoming less expensive
AI is for everyone
AI is changing our world!
It’s time for AI Right Now
BIBoss: The Data Science Behind Personalisation & AI

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BIBoss: The Data Science Behind Personalisation & AI

  • 1.
  • 2. It’s all about creating rich and relevant customer experiences tailored to the individual. As data volumes explode driven by technology advancements, now is the time to apply hyper-personalisation…
  • 3. “Personalisation wasn’t supposed to be a cleverly veiled way to chase prospects around the web, showing them the same spammy ad for the same lame stuff as everyone else sees. No, it is a chance to differentiate at a human scale, to use behavior as the most important clue about what people want and more important, what they need." Seth Godin 3
  • 4. WHAT DO WE MEAN BY HYPER PERSONALISATION? 4
  • 5. 5
  • 6. 6 • Physical and Digital Footprint • Further understanding through Data Science • What are their emotions, what jobs do they need to complete, what do they enjoy, how do they like to interact with you etc • Enabled by research and brought to life by customer journey mapping
  • 7. 7 1. Easy, fast and frictionless experiences 2. Valuable and enjoyable interactions 3. Relevant and inspiring content 4. Helpful and friendly service 5. Successful and useful consumer outcomes “The combined cost saving effect of personalisation” 70%“conversation rate improvement after personalisation” 15%“Increased profits from personalisation engines used to recognise customer intent”
  • 8. Nearly 40% of consumers have left a website because they were overwhelmed by too many options Accenture 50% of consumers want companies to be more transparent about how their data is being used CBI 71% of marketers feel overwhelmed by data and 69% feel it's distracting them from their core marketing duties Transunion 8
  • 10. 1 2 3 4 5 6 7 8 Sensors, Beacons Cameras, RFID, GPS Mobile Apps, AR & VR Artificial Intelligence, Chat- bots etc Cloud computing, data streaming Semi-conductors, Edge Computing Automation, Machine Processing Big Data Warehouse, HDB & RDB Machine Learning, BI & Reporting 1 1 1 2 3 5 6 7 4 8 3 2 4 1 5 6 8 8 DECISION ENGINE 10
  • 11. AFFINITY ATTRIBUTES - Product & Customer Affinity - Behavioural Affinity - Customer Decision Trees - Product & Customer Attributes - Product Clusters - Driven by affinity analytics 11
  • 12.
  • 13. • Massive processing power • Billions of customer interactions • Customer expectation of real-time • Daily or intra-day recommendations expected • Movement towards cloud & SaaS • Affinity analysis • Collaborative filtering • Natural language processing • Clustering & segmentation • Transactional data • Product review data • Survey on sign up • Onsite browsing data • Offsite digital audiences • Dwell time on browsed pages • Search terms used onsite 13
  • 14. WhatWho WhenWhere Next Best Item / OfferNext Best Customer / Segment £ Next Best Channel / Location Next Best Time 14
  • 15. 15 Visualisation of data is key to uncover insights The application of Machine Learning and Analytics within the same platform as BI enables human led optimisation Understanding key metrics such as sales or availability in real-time vs forecasts enables quicker decisions to be made
  • 16. 1 432 Create personalisation plan to meet objectives Uncover insights to inform personalisation Define business objectives for personalisation to support Undertake analytics & research to understand customers & journeys 5 876 Create content, campaign & experience assets Orchestrate personalisation activity Test, measure, learn, iterate & optimise Undertake gap analysis to inform planning 16
  • 17. 17 Personalisation & Data Strategy Through our strategic development framework, we help businesses to prioritise the customer data initiatives that deliver the biggest gains and quick wins. We are experts in applying advanced analytics and machine learning & AI to the complexities of customer data whilst being fully focused on the commercial impact. Data Science & Machine Learning We develop real-time personalisation solutions using proprietary affinity based techniques, either utilising your existing technology stack, or delivered through our own SaaS based platform. Technology & Solutions
  • 18. t: +44 7930 916861 e: peter@hyper-group.co.uk t: +44 7900 363790 e: damon@hyper-group.co.uk t: +44 7736 312165 e: thomas@hyper-group.co.uk t: +44 7432 284612 e: adam@hyper-group.co.uk 18
  • 19. AI Right Now Solving real-world challenges and driving innovation in business Neil Dunlop July 2019
  • 20. Is AI changing our world?
  • 21.
  • 22.
  • 23.
  • 24. Help me speak Japanese
  • 25.
  • 27. 1/ Hard to define 2/ Only for big things 3/ Difficult to implement 4/ Won’t deliver R.O.I.
  • 28. 1/ Hard to define
  • 29. 2/ Only for big things
  • 30. 3/ Difficult to implement
  • 31. AI has poor ROI 4/ Won’t deliver R.O.I.
  • 32. AI is changing how we do business...
  • 36.
  • 37. CS2
  • 38.
  • 40.
  • 41. CS2
  • 44. 1/ Available computer power 2/ Accessible algorithms 3/ Lots of data 4/ Structured ways of working
  • 45.
  • 46.
  • 47.
  • 48.
  • 49. Recommendation Forecasting Image & Video Analysis Document Analysis Text Analytics Text To Speech Speech to Text Conversation Translation
  • 51.
  • 52.
  • 53. AI is becoming a commodity
  • 54. AI is getting easier to do
  • 55. AI is becoming less expensive
  • 56. AI is for everyone
  • 57. AI is changing our world!
  • 58. It’s time for AI Right Now