15 minute webinars presents: predictive analytics...
TRANSCRIPT
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15 MINUTE WEBINARS PRESENTS:PREDICTIVE ANALYTICS 101
Brought to you by Whereoware #WOWWEBINAR
Private and Confidential. Property of Whereoware, LLC.
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MEET OUR SPEAKER
BRYAN SAUKATWEET USING #WOWWEBINAR
Business Analyst
BRYAN SAUKA
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ABOUT US
• Award-Winning Digital Agency
• 18 Years Of Experience
• Personalized Websites
• Email Campaigns
• SEO and Digital Advertising
• Visual Design
• Digital Products
• Mobile Applications
• Data Integration
• Analytics
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PREDICTIVEANALYTICS
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“Nearly 50% of CMOs who used marketing intelligence experienced improved customer
satisfaction”
- Forrester Consulting, 2017
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WHAT IS PREDICTIVE ANALYTICS
COMMUNICATION
STATISTICALMODEL
CONSUMERBEHAVOIR
MACHINELEARNING
PATTERNS
SCORING
VISUALIZATION
PREDICTIVEBEHAVOIR
DECISIONMAKING
PREDICTIVEANALYTICS
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WHY IS PREDICTIVE ANALYTICS IMPORTANT?
Organizations are turning to predictive analytics to help solve difficult problems and uncover new
opportunities. Common uses include:
DETECING FRAUD OPTIMIZING MARKETING CAMPAIGNS
IMPROVING OPERATIONS
REDUCING RISK
GETTING STARTED
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1. DEFINE YOUR OBJECTIVE
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What are your initial ideas about the objective?
INITIAL IDEAS
What do you want to understand and predict?
UNDERSTAND AND PREDICT
DRIVEN BY INSIGHTS
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What do you want to know about the future based
on the past?
FUTURE BASED ON PAST
What will be done with the predictions?
USE OF PREDICTIONS
What actions will be taken?
NOW WHATWhat decisions will be driven by the insights?
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2. GATHER, DEFINE, AND CLEANSE YOUR DATA
Gather + Store Data Visualize DataDefine + Cleanse Data
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GATHER YOUR DATA
• Transactional Systems
• Sensor Data
• Third-party Information
• Call Center Notes
• Web Logs
• Data integration
• Analytics
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DEFINE YOUR DATA
What are the data sources?
What are the unique ID’s from each source?
How can these ID’s link the multiple data sources?
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CLEANSE YOUR DATA
VLOOKUPManual
Prone to ErrorsInvested Time: Days
DOMOAutomated
AccurateInvested Time: Minutes
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VISUALIZE YOUR DATA
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3. BUILD, TEST, & DEPLOY THE MODEL
DATA ANALYST IT SUPPORT
BUSINESS ANALYST
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YOU DON’T NEED A DATA SCIENTIST
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OUT OF THE BOX PREDICTIVE PLATFORMS
Actionable insights for optimized customer
journeys and behavior-triggered touches
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• 4. put the model to work
CASE STUDY
Challenge: Identify + re-engage “at-risk” customers (likely to churn).
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DATA DEEP DIVE
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WHAT PREDICTIONS CAN BE MADE?
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VISUALIZE + ACT ON THE DATA
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MEET END GOAL
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LESSONS LEARNED
DEFINE YOUR OBJECTIVE
GATHER, DEFINE, & CLEAN YOUR DATA
BUILD, TEST, & DEPLOY YOUR MODEL
PUT IT TO USE – START PREDICTING!
QUESTIONS? ASK BRYAN
14399 Penrose Pl #450, Chantilly, VA 20151
(877) 521-7448
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