© 2007 megaputer intelligence utilizing text analytics in your voc program: analyzing verbatims...
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© 2007 Megaputer Intelligence
Utilizing Text Analytics in Your VOC Program: Analyzing Verbatims with PolyAnalyst™
Sergei Ananyan Megaputer Intelligence
(812) [email protected]
© 2007 Megaputer Intelligence
Outline
• Project Highlights
• Value of Verbatim Analysis
• Historical Process and Need for Text Mining
• Capabilities of PolyAnalyst™
• Text Analysis and Report Generation
• Benefits of Text Analysis
© 2007 Megaputer Intelligence
Customer: Hospitality Company XYZ
• Global leader in development, operations and sales of Vacation Ownership resorts
• Over $1.5 Billion in sales
• More than 300,000 Timeshare Club Owners
• Distinctive resorts with more than 8,000 villas
© 2007 Megaputer Intelligence
XYZ Company Surveys
• 3 main areas of surveys:– Operations experience
– Sales and marketing experience
– Service experience
• 10 surveys run on a constant basis
• Mixed structured and open-ended questions
• Guest Satisfaction Survey (GSS)– 100,000 responses per year
• Sales and Marketing survey– 150,000 responses per year
© 2007 Megaputer Intelligence
Guest Satisfaction Survey
• Offered to– Owners– Guests– Rental guests– Owner exchangers (non-XYZ)– Preview package guests
• 10 open-ended questions accompanying structured questions– e.g. What was your overall impression of the resort property?– (If rated 7 or below): What causes you to feel that way?
• Questions follow customer touch-point map– Pre-arrival, online, gate house, check-in, wake-up calls, service,
landscaping, restaurant, owner’s seminar
• Goal: provide actionable feedback for onsite managers
© 2007 Megaputer Intelligence
Need for Text Analysis
© 2007 Megaputer Intelligence
Value of Verbatim Analysis
• Go beyond structured questions – very limited information
• Listen to what XYZ customers have to say – in their own words
• Tie quantitative scores to verbatim comments
• Provide proactive and actionable means for improvement at the Division, Site, and Regional Level
• Define what topics are reported at varying levels of satisfaction
• Assess whether XYZ is asking the right questions
© 2007 Megaputer Intelligence
Historical Text Analysis Process
• XYZ was categorizing verbatims from all surveys manually
Read each response Manually select categories
© 2007 Megaputer Intelligence
Challenges of Historical Process
• Helped create initial Category Map: 4 levels and 217 categories
BUT
• Required a person to read each comment and assign categories
• Different processes were used; No consistency
• Slow: it was taking one hour to read and assign 100 comments
• Reports were manually created
• Addition of new categories was based on human interpretation
• To handle the analysis of verbatims, XYZ needed a Text Mining tool
© 2007 Megaputer Intelligence
Requirements for Text Mining Tool
• Import survey results data and run word extractions on text
• Create categories (or buckets) to group similar comments
• Define patterns for automated text categorization
• Perform automated categorization of text responses
• Delineate positive/negative comments
• Save reusable analysis scenarios for future categorization projects
• Run extractions against the uncategorized comments
© 2007 Megaputer Intelligence
Requirements for Text Mining Tool
• Export categorization results and link back to specific comments
• The output must be compatible with standard reporting tools
• Added bonus: a scheduling component– At scheduled date/time it would retrieve/categorize data
• Provide insight into ratings and comments reported – For example, which words are most frequently reported when the
customer provides a structured score 3 or below?
• Ability to create a custom thesaurus that would group frequently reported words that relate to the business – e.g. room, villa, suite, condo, etc.
© 2007 Megaputer Intelligence
PolyAnalyst™ text mining tool
• Knowledge discovery tool for business users
• Easy-to-understand actionable results
Data Overload Useful Knowledge
PolyAnalystTM
© 2007 Megaputer Intelligence
Capabilities of PolyAnalyst
• Unlocks value hidden in massive volumes of data and text
• Solves all typical text analysis tasks:– Categorization– Clustering– Taxonomy building– Entity extraction– Natural language search– Multi-dimensional reporting– Visual link analysis
• Enterprise level scalability
• Visual creation of analysis scenarios
• Interactive visualization and drill-down
• Executive reports
© 2007 Megaputer Intelligence
PolyAnalyst extra features
• In addition to meeting all requirements of XYZ, PolyAnalyst offered the following extra features:– Automated spelling correction
– Words and patterns search
– Ability to discover unexpected issues
– Ability to automatically build taxonomies
– Dictionary editor for synonyms, abbreviations and stop-words
– Interactive reports for sharing results with business users
– Substantial ROI
© 2007 Megaputer Intelligence
Survey Analysis with PolyAnalyst
Automated Text Analysis
Data Analyst
Collecting & Storing Data
Decision Maker
Generating Reports
© 2007 Megaputer Intelligence
Step 1. Data Analysis
© 2007 Megaputer Intelligence
PolyAnalyst Analysis Scenario
© 2007 Megaputer Intelligence
Text Categorization
© 2007 Megaputer Intelligence
Text OLAP
© 2007 Megaputer Intelligence
Step 2. ReportingPolyAnalyst for Business Users
© 2007 Megaputer Intelligence
Site Manager’s Report: Food & Beverage
© 2007 Megaputer Intelligence
Site Manager’s Report: Villa Cleanliness
© 2007 Megaputer Intelligence
Benefits of Text Analysis with PolyAnalyst
© 2007 Megaputer Intelligence
Benefits
• Extracting value from massive volumes of text
• Dramatic reduction in the cost of data analysis
• Increase in quality and speed of the analysis– PolyAnalyst successfully categorized 95% of text verbatims
– The analysis time dropped from 1,000 hours to 10 minutes per survey
• Automated monitoring of data for known problems
• Timely discovery of emerging issues and trends
• Joint analysis of text and structured data
• Objective and uniform data-driven analysis
• Delivering interactive report to decision makers
© 2007 Megaputer Intelligence
Return on Investment
• Guest Satisfaction Survey – 100,000 responses per year (for all questions)
• XYZ runs 10 surveys annually
• Manual analysis– It takes over an hour to manually process 100 verbatims– Manual analysis of all verbatims would take over 10,000 man-hours– Projected annual cost of manual analysis of text responses - $500,000
• Based on $50 per hour gross cost
– Projected 5 year cost of manual analysis - $2,500,000
• PolyAnalyst analysis– Categorization of all verbatims takes an hour of machine time
• upon the initial taxonomy setup
– 5 year cost of PolyAnalyst survey analysis process – less than $400,000
• 5 year PolyAnalyst savings - $2,100,000
© 2007 Megaputer Intelligence
Handled Business Tasks
• Survey data analysis
• Call Center data analysis
• Repair notes analysis
• Incident report analysis
• Claims notes analysis
• E-mail target routing
• Competitive intelligence
• Fraud detection
• Intellectual property research
© 2007 Megaputer Intelligence
PolyAnalyst application domains
Government
Insurance
Financial
High Tech
Consumer Products
Manufacturing
© 2007 Megaputer Intelligence
Next Steps
Call(812) 330-0110
120 W Seventh Street, Suite 314Bloomington, IN 47404 USA