Ch. 5, Case 2:   Applebee’s, Travelocity, & Others:   Data Mining for Business Decisions Team 2: Ali Alsagor Anthony Datollo Stacy Genelow Kevin McNavage Matthew Vital
Applebee’s (Background) Beginnings in Atlanta, GA Largest casual dining chain in the world US & International Friendly, welcoming, neighborhood environment Staff & guests
Applebee’s (Case) 1900 restaurants worldwide Grossed ~$1.34 billion in revenue Four-node, 4TB data warehouse system Analyze “back-of-house performance” Preparation of food Advanced beyond business decisions i.e. replenishing food supplies
The Problem Potential for software and hardware Applebee’s Travelocity VistaPrint Inc.
The Problem: Applebee’s Current Four-node, 47 B Warehouse System 3 Database administrators “ Back-of-house” only Main Issue - Customer Service
Solution: Applebee’s Replenish food supplies according to daily sales Promotion of Products
Evaluation of Alternatives: Applebee’s Solution for Applebee’s - Replenish food supplies according to daily scales - Promotion of Products
Recommendations: Applebee’s Use back-of-house and front-of-house data Customer service = important Company can see: Did the customer wait too long for food? Did the customer wait too long for the bill? Improve workers performance
Possible Results & Obstacles to Implementation Quality Data -  Mouse clicks - View webpages Data Resource Management
Possible Results & Obstacles to Implementation: Applebee’s Goal: Customer Service Back  of House Performance Front  of House Performance Obstacle: Gathering Data 3 Database Administrators
Travelocity (Background) Base: Southlake, TX Travelocity.com Online travel company Not only price, but entire experience 6 th  largest travel agency
Customer Bill of Rights “ These are your rights. Take advantage of them. Let nothing stand between you & them—except maybe a pair of nice sunglasses”
Travelocity (Case) New project Mine 600,000 comments Better monitoring Response to customer service issues Travelocity.com New text analytics software Customer satisfaction surveys, emails, and comments Text mining capability Review all feedback from customers and extract info Positive/Negative Identify facts, opinions, requests, trends, & trouble spots
Problem: Travelocity Unstructured Data Emails from customers Call center representative notes Other sources
Solution: Travelocity New Software Organize  600,000 comments Scours 40,000 Verbatim comments 40,000 E-mails 500,000 Interactions Text Analytics Attensity
Evaluation of Alternatives: Travelocity Solution for Travelocity New Software Text Analytics
Recommendations: Travelocity Use Attensity program Automatically sorts data: Facts, opinions, problems Sorts data faster Useful: Improves customer service Give customers what they want
Possible Results & Obstacles to Implementation: Travelocity Goal: Structured Data Emails, surveys, and comments Text mining Obstacle: Using Text Mining
VistaPrint Ltd. (Background & Case) Online retailer Lexington, MA Graphic design services & custom-printed products Increased customer conversion rate Web analytics technology 22,000 transactions daily 18 web sites
Problem: VistaPrint 22,000 Transactions for 18 Websites Daily Heavy Online Sales Analyzing Customer Behavior
Solution: VistaPrint Improve Conversion Rates Web Analytics to Test User Interface Visual Site by Visual Sciences Inc.
Evaluation of Alternatives: VistaPrint Solution for VistaPrint Improve Conversion Rates Visual Site by Visual Sciences Inc.
Recommendations: VistaPrint Use Visual Site program Gives information about website problems Why website visitors don’t become customers? Improves: Customer service Website use # of new customers
Possible Results & Obstacles to Implementation: Vista Print Goal: Increase Conversion Rates - Visual Site Application Obstacles: - Lack of Data Integrity - New Features
References Applebee’s International Franchising. (2010) Retrieved Feb. 17, 2010, from  http://www.applebees.com/aboutus.aspx Travelocity - About Travelocity. (1996-2010) Retrieved Feb. 17, 2010, from  http://www.travelocity.com/about/about_main/0,,%7CJOBS_MAIN,00.html VistaPrint - About Us. (2001-2010) Retrieved Feb. 17, 2010, from  http://www.vistaprint.com/about.aspx?xnav=foot
QUESTIONS????

BA 257 C5.C2

  • 1.
    Ch. 5, Case2: Applebee’s, Travelocity, & Others: Data Mining for Business Decisions Team 2: Ali Alsagor Anthony Datollo Stacy Genelow Kevin McNavage Matthew Vital
  • 2.
    Applebee’s (Background) Beginningsin Atlanta, GA Largest casual dining chain in the world US & International Friendly, welcoming, neighborhood environment Staff & guests
  • 3.
    Applebee’s (Case) 1900restaurants worldwide Grossed ~$1.34 billion in revenue Four-node, 4TB data warehouse system Analyze “back-of-house performance” Preparation of food Advanced beyond business decisions i.e. replenishing food supplies
  • 4.
    The Problem Potentialfor software and hardware Applebee’s Travelocity VistaPrint Inc.
  • 5.
    The Problem: Applebee’sCurrent Four-node, 47 B Warehouse System 3 Database administrators “ Back-of-house” only Main Issue - Customer Service
  • 6.
    Solution: Applebee’s Replenishfood supplies according to daily sales Promotion of Products
  • 7.
    Evaluation of Alternatives:Applebee’s Solution for Applebee’s - Replenish food supplies according to daily scales - Promotion of Products
  • 8.
    Recommendations: Applebee’s Useback-of-house and front-of-house data Customer service = important Company can see: Did the customer wait too long for food? Did the customer wait too long for the bill? Improve workers performance
  • 9.
    Possible Results &Obstacles to Implementation Quality Data - Mouse clicks - View webpages Data Resource Management
  • 10.
    Possible Results &Obstacles to Implementation: Applebee’s Goal: Customer Service Back of House Performance Front of House Performance Obstacle: Gathering Data 3 Database Administrators
  • 11.
    Travelocity (Background) Base:Southlake, TX Travelocity.com Online travel company Not only price, but entire experience 6 th largest travel agency
  • 12.
    Customer Bill ofRights “ These are your rights. Take advantage of them. Let nothing stand between you & them—except maybe a pair of nice sunglasses”
  • 13.
    Travelocity (Case) Newproject Mine 600,000 comments Better monitoring Response to customer service issues Travelocity.com New text analytics software Customer satisfaction surveys, emails, and comments Text mining capability Review all feedback from customers and extract info Positive/Negative Identify facts, opinions, requests, trends, & trouble spots
  • 14.
    Problem: Travelocity UnstructuredData Emails from customers Call center representative notes Other sources
  • 15.
    Solution: Travelocity NewSoftware Organize 600,000 comments Scours 40,000 Verbatim comments 40,000 E-mails 500,000 Interactions Text Analytics Attensity
  • 16.
    Evaluation of Alternatives:Travelocity Solution for Travelocity New Software Text Analytics
  • 17.
    Recommendations: Travelocity UseAttensity program Automatically sorts data: Facts, opinions, problems Sorts data faster Useful: Improves customer service Give customers what they want
  • 18.
    Possible Results &Obstacles to Implementation: Travelocity Goal: Structured Data Emails, surveys, and comments Text mining Obstacle: Using Text Mining
  • 19.
    VistaPrint Ltd. (Background& Case) Online retailer Lexington, MA Graphic design services & custom-printed products Increased customer conversion rate Web analytics technology 22,000 transactions daily 18 web sites
  • 20.
    Problem: VistaPrint 22,000Transactions for 18 Websites Daily Heavy Online Sales Analyzing Customer Behavior
  • 21.
    Solution: VistaPrint ImproveConversion Rates Web Analytics to Test User Interface Visual Site by Visual Sciences Inc.
  • 22.
    Evaluation of Alternatives:VistaPrint Solution for VistaPrint Improve Conversion Rates Visual Site by Visual Sciences Inc.
  • 23.
    Recommendations: VistaPrint UseVisual Site program Gives information about website problems Why website visitors don’t become customers? Improves: Customer service Website use # of new customers
  • 24.
    Possible Results &Obstacles to Implementation: Vista Print Goal: Increase Conversion Rates - Visual Site Application Obstacles: - Lack of Data Integrity - New Features
  • 25.
    References Applebee’s InternationalFranchising. (2010) Retrieved Feb. 17, 2010, from http://www.applebees.com/aboutus.aspx Travelocity - About Travelocity. (1996-2010) Retrieved Feb. 17, 2010, from http://www.travelocity.com/about/about_main/0,,%7CJOBS_MAIN,00.html VistaPrint - About Us. (2001-2010) Retrieved Feb. 17, 2010, from http://www.vistaprint.com/about.aspx?xnav=foot
  • 26.