LEADER 05484nam 2200709Ia 450 001 9910139591803321 005 20230802003955.0 010 $a1-118-14832-0 010 $a1-119-20534-4 010 $a1-283-27301-2 010 $a9786613273017 010 $a1-118-14835-5 035 $a(CKB)2550000000054383 035 $a(EBL)818778 035 $a(OCoLC)759992695 035 $a(SSID)ssj0000540846 035 $a(PQKBManifestationID)11327647 035 $a(PQKBTitleCode)TC0000540846 035 $a(PQKBWorkID)10492657 035 $a(PQKB)11631818 035 $a(MiAaPQ)EBC818778 035 $a(Au-PeEL)EBL818778 035 $a(CaPaEBR)ebr10501271 035 $a(CaONFJC)MIL327301 035 $a(EXLCZ)992550000000054383 100 $a20110603d2012 uy 0 101 0 $aeng 135 $aur|nu---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRetail analytics$b[electronic resource] $ethe secret weapon /$fEmmett Cox 210 $aHoboken, N.J. $cWiley$dc2012 215 $a1 online resource (178 p.) 225 1 $aWiley & SAS business series 300 $aDescription based upon print version of record. 311 $a1-118-09984-2 320 $aIncludes bibliographical references and index. 327 $aRetail Analytics: The Secret Weapon; Contents; Preface; Acknowledgments; Chapter 1: Retailing Analytics: An Introduction; RETAILER GOODWILL; THE INSIDE SCOOP: RETAIL POWER BROKERS; RETAIL ORGANIZATION; Real Estate Marketing; Creative Advertising Marketing; Operations Marketing (Research); Direct Marketing; Strategic Marketing; COMMUNICATING TO THE RETAIL ORGANIZATION; POINT OF SALE VERSUS MARKET BASKET DATA; DATA IS GOLD; DATA AS REVENUE: THE PRICE OF RETAIL DATA; Chapter 2: Retail and Data Analytics; HARD-CORE DATA TERMS: NOW WE'RE TALKING ABOUT THE FUN STUFF; MARKET BASKET; DATA STORAGE 101 327 $aDATA WITHOUT USE IS OVERHEADCASE STUDIES AND PRACTICAL EXAMPLES OF DATA-RELATED RETAIL PROJECTS; Trade Area Modeling; Real Estate Site Selection Modeling; Competitor Threat Analytics; Merchandise Mix Modeling: Combining Multiple Data Sources; CELEBRITY MARKETING: TRACKING EFFECTIVENESS; HOUSE BRAND VERSUS NAME BRAND; E-BUSINESS: CLICKS AND MORTAR; AFFINITY MERCHANDISING: MERCHANDISE CROSS-SELL CASE STUDY; MARKET BASKET ANALYSIS: EXAMPLES; STORE DEPARTMENTAL CROSS-SELLING; Single Category Affinity Analysis: Paper Towels; Best Checkout Register Impulse Items for Christmas Season: Case Study 327 $aChapter 3: The Apparel IndustryMANY TYPES OF APPAREL BUSINESSES; RETAILER BUILDING AND LOCATION, LOCATION, LOCATION; WHO IS MY CUSTOMER? SIZE UP THE OPPORTUNITY AND SHOW ME THE MONEY!; EVOLUTION OF A BRAND: NOT YOUR FATHER'S BLUE JEANS; DIVERSIFICATION: SPREAD RISKS OVER MULTIPLE BUSINESSES; CRITICAL, NEED-TO-KNOW INFORMATION IN APPAREL ANALYTICS; Seasonality: Styles Change like the Wind; Seasonal Counterpoint; Merchandise Placement and Presentation: From Racks to Riches; Accessories; Next Best Offers; Promotions: Lifeblood of the Apparel Business; RETAIL IN GENERAL: IMPULSE BUYING 327 $aChapter 4: Importance of Geography and DemographicsUNDERSTANDING THE TOOLS AND THE DATA REQUIREMENTS; How Geographic Information Systems Work: Science behind the Tools; GIS Layers of Information: Building a Map, Layer by Layer; HOW GEOGRAPHY FITS INTO RETAIL: LOCATION, LOCATION, LOCATION!; Retail Geography: Data and Lots of It; Retail Data: Internal Data Collection; Retail Trade Areas: Differing Methods for Debate; Zip Code Data: Forecasting Application Volume by Store; NOW THAT WE UNDERSTAND THE TOOL AND THE DATA, WHAT DO WE DO?; Card Preference Opportunity by Zip Code: Case Study 327 $aExample of Sales Penetration MapMARKET OBSERVATIONS: ADDITIONAL USES OF THE GIS TOOL; Chapter 5: In-Store Marketing and Presentation; UNDERSTANDING THE DIFFERENT STORE DESIGNS; Old Theories of Merchandise Placement; New Theories of Merchandise Placement; Mass Merchandisers Were Slow to Catch On: Does Convenience Translate into Sales?; ALL ABOUT PRICING; Everyday Low Price; Loyalty Discount Philosophies; Tiered Pricing; TYPES AND SIZES: RETAIL STORE STRATEGIES; Store in a Store: Make Shopping Convenient; What's in a Store: Convenience Stores to Hypermart Stores 327 $aHypermarts: When Is Big Too Big? 330 $aThe inside scoop on boosting sales through spot-on analytics Retailers collect a huge amount of data, but don't know what to do with it. Retail Analytics not only provides a broad understanding of retail, but also shows how to put accumulated data to optimal use. Each chapter covers a different focus of the retail environment, from retail basics and organization structures to common retail database designs. Packed with case studies and examples, this book insightfully reveals how you can begin using your business data as a strategic advantage.Helps retailers and analyst 410 0$aWiley and SAS business series. 606 $aRetail trade 606 $aRetail trade$vStatistics 606 $aRetail trade$vCase studies 615 0$aRetail trade. 615 0$aRetail trade 615 0$aRetail trade 676 $a658.8/7 686 $aBUS057000$2bisacsh 700 $aCox$b Emmett$f1957-$0885515 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139591803321 996 $aRetail analytics$91977295 997 $aUNINA