One of the biggest challenges in using Predictive Analytics today is extending usage beyond the experts, thereby putting the power of predictive analytics into the hands of your decision-makers. Learn to leverage existing investments in the leading predictive languages by embedding those analytics into highly-visual, self-service, relevant applications—improving your day-to-day decision-making and helping you to beat your competition, find new markets, and anticipate potential risks. Lou Bajuk-Yorgan will demonstrate how companies like Proctor & Gamble have leveraged analytics and industry domain expertise to transform how they do business with Predictive Analytics.
3. What are Predictive Analytics?
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Technical Definition
– Use data mining and/or statistics to anticipate future events.
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4. PREDICT & OPTIMIZE
Proactive:
Tells us “Where are we
headed” “What’s the best
course of action”
Forecasts, Probabilities,
Prescriptions, Risk
Applications:
• Customer segmentation
• Improve planning and forecasting
• Optimize manufacturing yield
• Fraud Detection
• Risk Management
• Mobile Asset & Supply Chain Management
5. Predictive Analytics with Spotfire
Easily provide targeted, relevant predictive analytics to business users to
improve decision making
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Ensure compliance & proper usage
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Share best practices and consistent workflows
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Get the answer & do “What If?” analyses when needed
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Leverage investments in R, SAS®, MATLAB®, …
Powerful Predictive Analytics tools for Spotfire analysts
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Integrated into Spotfire workflows
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Easily create, evaluate, and share Predictive Models
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Add Forecasts with a single click
Benefits of Predictive Analytics to a spectrum of users
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Increase confidence & effectiveness in decision-making
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Reduce uncertainty
Discover meaningful patterns, important data
Maximize ROI
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Anticipate and react to emerging trends
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Reduce/manage risk
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Scenario planning, forecasts, fraud detection
Forecast specific behavior, preemptively act on it
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Increase upsell, decrease churn
6. Spotfire’s Predictive Analytics Ecosystem
Leverage existing predictive models to reduce
re-work
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Increase the value of your Predictive Analytic investments
TIBCO Enterprise Runtime for R (TERR)
TERR
Open
Source R
S+
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SAS®
MATLAB®
Spotfire
Teradata
Aster
Agility of R on a scalable, robust analytic engine
Benefits of cutting edge analytics and growing community of
R users, on enterprise-grade platform
Teradata Aster for in-database advanced
analytics
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Effectiveness of web content, “golden path” analysis, and
viewer engagement.
Get started quickly
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OOTB predictive analytics & extensible templates for
application-building
Powerful predictive & forecast tools embedded in Spotfire
Develop R language scripts for TERR with RStudio
7. Predicting the Business
Customer Churn:
• Retain your most profitable customers
• Increase upsell, decrease churn
Fraud Detection:
• Reduce losses due to fraudulent
transactions
Supply Chain Optimization:
• Simulate production and shipping to
anticipate peaks and lulls
HR Planning:
• Predict employee attrition and optimize
retention
14. Deploy predictive models with TIBCO CEP
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Deliver real-time predictions on
whether to extend an offer to a
given customer
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Apply predictive models in realtime decision making
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Best marketing offer
Customer churn
Predictive Maintenance
Yield optimization
Rapidly develop and iterate TERR
models in production
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Respond to changing opportunities
and threats
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15. More Information
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Visit the TIBCO Booth
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lbajuk@tibco.com or @loubajuk
Spotfire Predictive Analytics & White
Paper
– http://spotfire.tibco.com/predictive
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How Proctor & Gamble Presents
Data to Decision-Makers
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http://spotfire.tibco.com/blog/?p=18602
Over 50,000 P&G employees now have access
to a “Decision Cockpit”