Transcript IBM SPSS Solutions - smartvision

IBM SPSS Solutions
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Overview – Predictive Analytics Benefits
Achieve competitive advantage
68 %
New revenue opportunities
55 %
Increased profitability
Increased Customer Service
Operational Efficiencies
52 %
45 %
44 %
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IBM SPSS Solutions
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Customer analytics
Operational Analytics
Predictive Analytics
Threat & Fraud Analytics
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1. Customer Analytics
Uncover
hidden
patterns
Create
personalised
experiences
Win more
business
Reduce
costs
Increase
customer
loyalty
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1. Customer Analytics – contd.
Customer
Customer
Acquisition
Lifetime
Value
Customer
Analytics
Customer
Loyalty
Profitability
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1. Customer Analytics – Customer Acquisition
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A world leading financial services company
Turned to IBM SPSS Predictive analytics
To win the right customers for its new products
With the
It secured
$ 47the
million
Target
right
customers
right
financial
products
At the right
rates
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1. Customer Analytics – Customer Lifetime Value
A critical
metric
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To boost
profits
Improve
profitability
Reduce
costs
Turned to IBM SPSS predictive analytics software solutions
To create and execute outbound marketing campaigns
Campaigns costs were reduced by 30 %
Customer profitability increased by 20 %
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1. Customer Analytics – Customer Loyalty
Customer
understanding
(satisfied/dissatisfied)
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United States’ largest Communications service provider
Challenge: to understand more about the reasons behind retention risks
Turned to IBM SPSS predictive analytics
142 % reduction
revenue
Buildinloyal
and
$ 10 million savings
profitable
Track customers
Reduce customer service costs
relationships
5 months to achieve full ROI
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1. Customer Analytics – Profitability
Understand
your
customers
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Build
Target the best
Was wastingrelationshipthousands of dollars annually on marketing
campaigns
customers
for
Implemented customer
based analytics solution from IBM up-sell and
cross-sell
pricing
Gained deep understanding
of their customers
Targeted those who will buy new products
Reduced direct mailing costs by 20 %
Generated 600 % ROI
Maximize
customer
profitability
Understand
customer
lifetime value
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2. Operational Analytics
People
Processes
Assets
To maximize
productivity
&
profitability
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2. Operational Analytics – Inventory Management
 Align supply with demand
 Manage physical and virtual assets
 Reduce working capital requirements
 Identify the right physical inventory for your supply chain
Used Predictive analytics
Made suggestions to the customer
Delivered high conversation rates
Determined which advertising campaigns should be communicated to which
card holders
 They saved 30 % on print runs for communications
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2. Operational Analytics – Process Analysis
Increase
market share
Understand
the big
 Deployed IBM
SPSSpicture
data and text mining
 Analyzed data quickly and efficiently
 Displayed the results in a user-friendly manner
Improve
efficiency of
the business
processes
Process
Analysis
Balance
critical
resources
Provide accurate
timely
information to
decision makers
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2. Operational Analytics – Predictive Maintenance
Maximizes
uptime
Minimizes
cost
Wanted to :
- Gain actionable insight into manufacturing processes
- Produce high volume product
 Reduce maintenance costs
 Avoid asset downtime
 Used IBM SPSS Predictive Analytics to assess products quality
 Minimize product quality issues
 Perform root-cause analyses
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3. Predictive Analytics for big data
Benefit from
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3. Predictive Analytics for big data – Predictive modeling
and big data
 Create predictive models from big data without programming
 Improve performance and scalability
 Use data from throughout your organization
Data from :
Social media
Traditional database system
Handoop distribution
Unstructured data
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3. Threat and Fraud Analytics
Detect
suspicious
activity
Control
outcomes
Minimize loss
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3. Threat and Fraud Analytics – Fraud Prevention
 Uncover fraud
 Take action before damage occurs
to:fraud prevention
Wanted
Perform
- Predict members’ health problems
bettercustomer
way to combat
fraud
- Find
Increase
satisfaction
Used fraud prevention:
 Improved services for health plan
members
 Eliminated fraud
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3. Threat and Fraud Analytics – Public Safety Software
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Though of mining the huge digital repository of crime records
Identified crime patterns
To pinpoint hot spots
Using Predictive analytics, they:
Using Public Safety software:
 Pinpointed crimes
 Focused police resources
 Reduced crime
Analyze  Increased citizen safety
Predict
crime
multiple
data when and where crimes
 Predicted
will occur
sources  Tracked criminals activities
 Spotted new crime trends
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THANK YOU
ANY QUESTIONS?
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