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What Data Mining brings to Small and Medium sized BusinessesWhat Data Mining brings to Small and Medium sized Businesses
Prety WidjajaSystems EngineerSPSS Inc.
Commonly Asked QuestionsCommonly Asked Questions
Will I be able to get copies of the slides after the
event?
Is this webinar being taped or can I view it after the
fact?
Yes
Yes
www.spss.com/events
AgendaAgenda
Data mining myths
Data mining overview
SPSS as a leader in the Data Mining space
SPSS Clementine
Demo
Key takeaways
Getting started in Data Mining
Data Mining MythsData Mining Myths
Data Mining is only for large companies
Data Mining is all about massive data
Data Mining is a complex technical process
What is Data Mining?What is Data Mining?
Data mining uses existing data to: Predict
Response Category membership
Group Cluster (group) attributes and metrics
together based on their characteristics Associate
Find events that occur together, or in a sequence
Find outliers Identify cases that don’t follow expected
behavior
“The process of discovering meaningful new relationships, patterns and trends by sifting through data using pattern recognition technologies as well as statistical and
mathematical techniques.”The Gartner Group
Who performs “data mining”Who performs “data mining”
Analysts
Business Intelligence users
Business executives
Small, medium, and large sized organizations
Companies in virtually every industry
Data Mining is enabling companies to…
Understand customers better Increase sales Increase profitability Increase website profitability Cross-sell/Up-sell Increase retention/loyalty Detect fraud Identify credit risks Acquire new customers
How and where is data mining being How and where is data mining being usedused
Case Study: CIM’01Case Study: CIM’01
5-year old French Market Research firm
Data mining was included in the business plan and is
considered as a key differentiator
CIM’01 purchased Clementine + Text Mining for
Clementine in 2003
CIM01: Addressing their client’s CIM01: Addressing their client’s business pain business pain
Big pharmaceutical labs spend large $ marketing to many
practitioners
Central nervous system drugs represent a large market
Bottom line: want to improve marketing campaign,
increase ROI.
CIM01: Data + Text Mining Results CIM01: Data + Text Mining Results
Clustering of GPs using both structured data and
unstructured data
Similarities found between general practitioners and
specialists.
Discover a new market previously untapped by the
pharmaceutical lab
ROI achieved!
Data Mining and Predictive AnalyticsData Mining and Predictive AnalyticsPowered by ClementinePowered by Clementine
Industry-leading workbench for
data mining
Pioneered visual approach
Supports the entire data
mining process
Multiple modeling techniques
Easily integrate Clementine
Clementine Supports for a Proven Clementine Supports for a Proven ProcessProcess
CRISP-DM Cross Industry Standard Process for Data Mining Focused on
business issues
Demonstration –World MotorsDemonstration –World Motors
Business Challenge: develop marketing
campaign to increase sales and product
awareness of their hybrid (HEV) car line
Data Mining Goal: determine what factors drive
consumer decision to purchase a hybrid car
What you will learn todayWhat you will learn today
How easy it is to work with different data sources
Discover patterns and trends in the data
Build predictive models to identify what buying factors are important to their customers
How you can apply your results to the their customer base to generate potential lead list for marketing campaign
Copyright 2003-4, SPSS Inc.Copyright 2003-4, SPSS Inc. 15
If you are not automatically taken to the "Shared Application" screen during the demonstration, please click on the "Shared Application" button at the bottom of your screen.
DemonstrationDemonstration
Demonstration Summary and ROI Demonstration Summary and ROI
Combined demographic data and transaction data
Identified simple patterns through data visualization
Generated models to determine what factors drive customers decision to purchase a hybrid car Higher income level than average car buyer ~above
$120K Higher age group level ~ 40s More likely to be female Price is not a decision factor Want to help reduce air pollution
Reduce mailing cost by 30% and yield higher ROI
More on ROIMore on ROISPSS Customer’s successesSPSS Customer’s successes
Banking
Lloyds TSB Saved $ 3.5 million by reducing credit
card fraud
Groupe Banque Populaire (Natexis) generated $ 1.8 million additional
revenue on a lead generation campaign
BankFinancial 7 x increase in response rates, 80%
reduction in costs
Insurance
Aegon Generated $30M additional revenue in
service call center
FBTO Decreased direct mailing costs by 35
percent, increased conversion rates by 40 percent
Telecommunications
Verizon Wireless Cut churn by 20%, saved 33% of “at-
risk” clients
Swisscom Doubled responses on win back
campaigns
Telstra Doubled sales in service call centers
Other industries
Experian Generated $2.5 million in catalog
revenue while reducing hardware and software maintenance costs by 80%
Center Parcs added $ 3 million to their bottom line Reduced mail costs by 46%
Sofmap.com (retail) Tripled profitability of online operations
Nucleus ResearchNucleus ResearchThe Real ROI from SPSSThe Real ROI from SPSS
94% achieved a positive ROI, with an average payback period of 10.7 months.
Returns were achieved through reduced costs, increased productivity, increased employee and customer satisfaction, and greater visibility.
Over 90% of SPSS users surveyed attributed an increase in productivity to SPSS, expressed in increased productivity from existing employees, or reduced the need to hire additional employees.
81% of projects were deployed on time, 75% on or under budget.
“This is one of the highest ROI scores Nucleus has ever seen in its Real ROI series of research reports”
Rebecca Wettemann, Vice President of Research at Nucleus Research
Recent AwardsRecent Awards
SPSS Inc. was included in the listing of the annual DM Review 100, which constitutes the top 100 companies in the business intelligence space as determined by DM Review readers.
KDnuggets News, a data mining and knowledge discovery newsletter, polled more than 600 of its readers, to find out which data mining tool they regularly used. The #1 response was SPSS Inc.'s Clementine data mining workbench, for the 4th year in a row.
SPSS Inc. was ranked first in the Intelligent Enterprise “2004 Companies to Watch.” These awards highlight companies that provide the strongest vision, market leadership and technology innovation.
Key TakeawaysKey Takeaways
Companies of all sizes can profit
Various types of users are performing data
mining
Performing data mining is within reach
Proven tools are available to take you from
data discovery to action!
Getting started with Data MiningGetting started with Data Mining
Begin with the end in mind
Limit the scope of your initial project
Define an executable data mining strategy
Attendees will receive a free copy of
“Planning Successful Data Mining Projects.”
Question and AnswerQuestion and Answer
For More InformationFor More Information
In case you missed it: recorded version and slides available at www.spss.com/events
Visit www.spss.com/clementine to learn more about the platform
Call us at 1-800-543-2185 or [email protected]
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