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What Data Mining brings to Small and Medium sized Businesses Prety Widjaja Systems Engineer SPSS Inc.
Commonly 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
Agenda 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 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? 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” 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 used
Case 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 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  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 Analytics Powered 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 Process   CRISP-DM Cross Industry Standard Process for Data Mining Focused on business issues
Demonstration –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 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
Demonstration 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.
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 ROI SPSS 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 Research The 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 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 .
A bit more on SPSS:  Positioned to grow with you… SPSS Enterprise Platform for Predictive Analytics Decision Optimization Advanced Analytics Predict Data mining Statistics Understand Reporting Vizualization Act Optimization Recommendation Operational data Call Center data Marketing databases Attitudinal data Interaction data Webdata Mail Call Center Internet Branches Customer View
Key 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 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 Answer
For 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_address] Please fill out the post event survey  Stay up-to-date on the most recent events with  the  new   SPSS Events RSS feed ! http:// www.spss.com/rss

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SPSS Solutions

  • 1. What Data Mining brings to Small and Medium sized Businesses Prety Widjaja Systems Engineer SPSS Inc.
  • 2. Commonly 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
  • 3. Agenda 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
  • 4. Data Mining Myths Data Mining is only for large companies Data Mining is all about massive data Data Mining is a complex technical process
  • 5. 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
  • 6. Who performs “data mining” Analysts Business Intelligence users Business executives Small, medium, and large sized organizations Companies in virtually every industry
  • 7. 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 used
  • 8. Case 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
  • 9. CIM01: Addressing their client’s 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.
  • 10. 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!
  • 11. Data Mining and Predictive Analytics Powered by Clementine Industry-leading workbench for data mining Pioneered visual approach Supports the entire data mining process Multiple modeling techniques Easily integrate Clementine
  • 12. Clementine Supports for a Proven Process CRISP-DM Cross Industry Standard Process for Data Mining Focused on business issues
  • 13. Demonstration –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
  • 14. What 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
  • 15. Demonstration 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.
  • 16. 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
  • 17. More on ROI SPSS 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
  • 18. Nucleus Research The 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
  • 19. Recent 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 .
  • 20. A bit more on SPSS: Positioned to grow with you… SPSS Enterprise Platform for Predictive Analytics Decision Optimization Advanced Analytics Predict Data mining Statistics Understand Reporting Vizualization Act Optimization Recommendation Operational data Call Center data Marketing databases Attitudinal data Interaction data Webdata Mail Call Center Internet Branches Customer View
  • 21. Key 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!
  • 22. Getting 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.”
  • 24. For 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_address] Please fill out the post event survey Stay up-to-date on the most recent events with  the new SPSS Events RSS feed ! http:// www.spss.com/rss