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Welcome to the
Topic 1: Enhancing customer value
using big data and actionable insights
Dr Julia Keddie and Goran Dragosavac
© BSG. All rights reserved CONSULTING | TECHNOLOGY
Big data has given businesses access to more customer behavioural data than ever before. To remain
competitive and be seen as industry leaders, companies must turn this data into intelligence that will support
business leaders in enhancing customer value
In an ever-changing digital world…
The world of today
Marketing
automation
and digital
marketing
Real-time
decisioning
Web-reporting
and data
integration
Data mining
and marketing
optimisation Internet
Call centre
Centralised
customer and
contact data
Online and
social media
TV
Email and
post
Mobile
Collect inputs /
Responses
Collect inputs /
Responses
Collect inputs /
Responses
Collect inputs /
Responses
Use history in
in-bound
marketing
Use history in
in-bound
marketing
The four Vs
Big data
Big
data
01
Volume
• Clickstream
• Active / passive sensor
• Log
• Event
• Printed corpus
• Speech
• Social media
• Traditional
03
Velocity
• Speed of generation
• Rate of analysis
02
04
Variety
• Unstructured
• Semi-structured
• Structured
Veracity
• Untrusted
• Uncleansed
Organisations must understand what insights they need
to make good strategic and operational decisions
© BSG. All rights reserved
Customer life cycle
Profit
Time
Cross-sell/Up-sell Retention Termination /
RecoveryAcquisition
© BSG. All rights reserved
Voice of customer
Customer value
Product
segmentation
Customer
segmentation
Customer
acquisition
Cross-sell /
Up-sell
Next product
offering
Customer
retention /
Loyalty churn
Customer
Lifetime value
Buy
CreativityDesire
Satisfaction
© BSG. All rights reserved
Actionable insights
Big data
Actionable
intelligence
Profitability
© BSG. All rights reserved
Data scientist
Hypothesis
testing
Mathematics
Statistics
Modelling and
prescriptive analytics
Data modelling
Big data solution
engineering
Exploratory data
analytics
Data Science
Pattern
recognition
Data mining
Machine learning
Artificial intelligence
Neural networks
Data visualisation
© BSG. All rights reserved
SQL, R, SAS, Python, Matlab, Java, SPSS, Stata, Perl, Hive, Pig, Spark, Ruby, Ruby on Rails, XML, HTML, Javascript, C/C#
Data science capability
http://www.kdnuggets.com/2015/11/different-data-science-roles-industry.html
Data Architect
The Contemporary Data
Modeller
Data Analyst
Data Detective
Data and Analytics
Manager
Data Science Team Leader
Statistician
Historic Leaders of Data
Data Engineer
Software Engineers by
trade
Business
Analyst
Change Agent
Data Scientist
As rare as unicorns
Database
Administrator
Database Caretaker
© BSG. All rights reserved
Conclusion
CONSULTING | TECHNOLOGY© BSG. All rights reserved
“Customer expectations have evolved
as well – they expect us to know who
they are and what they need.”
Joan Dal Bianco
Senior Vice President, TD Bank
Fishbowl 1
What do we need to set up to deliver to
customer wants and needs?
Greg Desilla
Fishbowl 2
How can we address the challenges with
Data Science skills in our organisations?
Shiraz Amod
Topic 2: Driving innovation through
customer insights
Jason Suttie
© BSG. All rights reserved CONSULTING | TECHNOLOGY
Organisations are embracing innovation and setting up innovation units to adapt quicker to changes in
market demand, to embrace disruptive opportunities, and to have a positive impact on the bottom-line. New
ideas and innovations must be practical and relevant to the market and attractive to the organisation’s
customers. This topic looks at innovating and practically implementing innovative solutions in collaboration
with customers; whilst protecting the intellectual property that is generated throughout the process.
Conclusion
CONSULTING | TECHNOLOGY© BSG. All rights reserved
Fishbowl question:
How have you approached customer
interactions while protecting IP?
Thank you for joining us!
Keep the conversation going

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Fast Fish Forum 16 November 2016

  • 2. Topic 1: Enhancing customer value using big data and actionable insights Dr Julia Keddie and Goran Dragosavac © BSG. All rights reserved CONSULTING | TECHNOLOGY Big data has given businesses access to more customer behavioural data than ever before. To remain competitive and be seen as industry leaders, companies must turn this data into intelligence that will support business leaders in enhancing customer value
  • 3. In an ever-changing digital world… The world of today Marketing automation and digital marketing Real-time decisioning Web-reporting and data integration Data mining and marketing optimisation Internet Call centre Centralised customer and contact data Online and social media TV Email and post Mobile Collect inputs / Responses Collect inputs / Responses Collect inputs / Responses Collect inputs / Responses Use history in in-bound marketing Use history in in-bound marketing
  • 4. The four Vs Big data Big data 01 Volume • Clickstream • Active / passive sensor • Log • Event • Printed corpus • Speech • Social media • Traditional 03 Velocity • Speed of generation • Rate of analysis 02 04 Variety • Unstructured • Semi-structured • Structured Veracity • Untrusted • Uncleansed Organisations must understand what insights they need to make good strategic and operational decisions © BSG. All rights reserved
  • 5. Customer life cycle Profit Time Cross-sell/Up-sell Retention Termination / RecoveryAcquisition © BSG. All rights reserved
  • 6. Voice of customer Customer value Product segmentation Customer segmentation Customer acquisition Cross-sell / Up-sell Next product offering Customer retention / Loyalty churn Customer Lifetime value Buy CreativityDesire Satisfaction © BSG. All rights reserved
  • 8. Data scientist Hypothesis testing Mathematics Statistics Modelling and prescriptive analytics Data modelling Big data solution engineering Exploratory data analytics Data Science Pattern recognition Data mining Machine learning Artificial intelligence Neural networks Data visualisation © BSG. All rights reserved SQL, R, SAS, Python, Matlab, Java, SPSS, Stata, Perl, Hive, Pig, Spark, Ruby, Ruby on Rails, XML, HTML, Javascript, C/C#
  • 9. Data science capability http://www.kdnuggets.com/2015/11/different-data-science-roles-industry.html Data Architect The Contemporary Data Modeller Data Analyst Data Detective Data and Analytics Manager Data Science Team Leader Statistician Historic Leaders of Data Data Engineer Software Engineers by trade Business Analyst Change Agent Data Scientist As rare as unicorns Database Administrator Database Caretaker © BSG. All rights reserved
  • 10. Conclusion CONSULTING | TECHNOLOGY© BSG. All rights reserved “Customer expectations have evolved as well – they expect us to know who they are and what they need.” Joan Dal Bianco Senior Vice President, TD Bank Fishbowl 1 What do we need to set up to deliver to customer wants and needs? Greg Desilla Fishbowl 2 How can we address the challenges with Data Science skills in our organisations? Shiraz Amod
  • 11. Topic 2: Driving innovation through customer insights Jason Suttie © BSG. All rights reserved CONSULTING | TECHNOLOGY Organisations are embracing innovation and setting up innovation units to adapt quicker to changes in market demand, to embrace disruptive opportunities, and to have a positive impact on the bottom-line. New ideas and innovations must be practical and relevant to the market and attractive to the organisation’s customers. This topic looks at innovating and practically implementing innovative solutions in collaboration with customers; whilst protecting the intellectual property that is generated throughout the process.
  • 12.
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  • 16. Conclusion CONSULTING | TECHNOLOGY© BSG. All rights reserved Fishbowl question: How have you approached customer interactions while protecting IP?
  • 17. Thank you for joining us! Keep the conversation going

Hinweis der Redaktion

  1. Fragmentation of systems Branches have been redesigned but the underlying processes haven’t been redesigned