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DescriptionBackgroundA relatively young bank is growing rapidly i.docx

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DescriptionBackground:A relatively young bank is growing
rapidly in terms of overall customer acquisition.Majority of
thes...
ProfilesIDAgeExperienceIncomeZIP
CodeFamilyCCAvgEducationMortgagePersonal LoanSecurities
AccountCD
AccountOnlineCreditCard...
313201000694721609340732.101000011705329209004540.201
0000107142181159133513.501000001725329699390741.00200
00107344201309...
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DescriptionBackgroundA relatively young bank is growing rapidly i.docx

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DescriptionBackground:A relatively young bank is growing rapidly in terms of overall customer acquisition.Majority of these are Liability customers with varying sizes of relationship with the bank.The customer base of Asset customers is quite small, and the bank WANTS to growthis base rapidly to bring in more loan business.Specifically, it wants to explore ways of converting its liability customers toPersonal Loan customers.A campaign the bank ran for liability customers last year showed a healthy conversionrate of over 9% successes. This has encouraged the Retail Marketing departmentto devise smarter campaigns with better target marketing.Analytics Objectives:1While designing a new campaign, can we model the previous campaign's customer behavior toanalyze what combination of parameters make a customer more likely toaccept a personal loan?2There are several special products / facilities the bank offers like CD and security accounts,online services, credit cards, etc. Can we spot any association among thesefor finding cross-selling opportunities?Data Description:IDCustomer IDAgeCustomer's age in completed yearsExperience#years of professional experienceIncomeAnnual income of the customer ($000)ZIPCodeHome Address ZIP code.FamilyFamily size of the customerCCAvgAvg. spending on credit cards per month ($000)EducationEducation Level. 1: Undergrad; 2: Graduate; 3: Advanced/ProfessionalMortgageValue of house mortgage if any. ($000)Personal LoanDid this customer accept the personal loan offered in the last campaign?Securities AccountDoes the customer have a securities account with the bank?CD AccountDoes the customer have a certificate of deposit (CD) account with the bank?OnlineDoes the customer use internet banking facilities?CreditCardDoes the customer use a credit card issued by UniversalBank?Note: Data are hypothetical© Cytel, Inc. 2005
DataUniversal Bank Customer ProfilesIDAgeExperienceIncomeZIP CodeFamilyCCAvgEducationMortgagePersonal LoanSecurities AccountCD AccountOnlineCreditCard1251499110741.60100100024519349008931.50100100033915119472011.00100000043591009411212.7020000005358459133041.00200000163713299212140.4021550001075327729171121.50200001085024229394310.30300000193510819008930.60210400010103491809302318.9030100001165391059471042.40300000012295459027730.1020000101348231149310623.803001000145932409492042.5020000101567411129174112.001001000166030229505411.5030000111738141309501044.70313410000184218819430542.4010000001946211939160428.103010000205528219472010.502001001215631259401540.90211100010225727639009532.00300001023295629027711.20126000010244418439132020.701163010002536111529552123.90115900001264319299430530.5019700010274016839506440.2030000002846201589006412.401000011295630489453912.2030000113038131199410413.302010111315935359310611.20312200010324016299411712.002000010335328419480120.6031930000034306189133030.90300000035315509403541.803000010364824819264730.7010000003759351219472012.901000001385125719581411.40319800000394218141941143.

DescriptionBackground:A relatively young bank is growing rapidly in terms of overall customer acquisition.Majority of these are Liability customers with varying sizes of relationship with the bank.The customer base of Asset customers is quite small, and the bank WANTS to growthis base rapidly to bring in more loan business.Specifically, it wants to explore ways of converting its liability customers toPersonal Loan customers.A campaign the bank ran for liability customers last year showed a healthy conversionrate of over 9% successes. This has encouraged the Retail Marketing departmentto devise smarter campaigns with better target marketing.Analytics Objectives:1While designing a new campaign, can we model the previous campaign's customer behavior toanalyze what combination of parameters make a customer more likely toaccept a personal loan?2There are several special products / facilities the bank offers like CD and security accounts,online services, credit cards, etc. Can we spot any association among thesefor finding cross-selling opportunities?Data Description:IDCustomer IDAgeCustomer's age in completed yearsExperience#years of professional experienceIncomeAnnual income of the customer ($000)ZIPCodeHome Address ZIP code.FamilyFamily size of the customerCCAvgAvg. spending on credit cards per month ($000)EducationEducation Level. 1: Undergrad; 2: Graduate; 3: Advanced/ProfessionalMortgageValue of house mortgage if any. ($000)Personal LoanDid this customer accept the personal loan offered in the last campaign?Securities AccountDoes the customer have a securities account with the bank?CD AccountDoes the customer have a certificate of deposit (CD) account with the bank?OnlineDoes the customer use internet banking facilities?CreditCardDoes the customer use a credit card issued by UniversalBank?Note: Data are hypothetical© Cytel, Inc. 2005
DataUniversal Bank Customer ProfilesIDAgeExperienceIncomeZIP CodeFamilyCCAvgEducationMortgagePersonal LoanSecurities AccountCD AccountOnlineCreditCard1251499110741.60100100024519349008931.50100100033915119472011.00100000043591009411212.7020000005358459133041.00200000163713299212140.4021550001075327729171121.50200001085024229394310.30300000193510819008930.60210400010103491809302318.9030100001165391059471042.40300000012295459027730.1020000101348231149310623.803001000145932409492042.5020000101567411129174112.001001000166030229505411.5030000111738141309501044.70313410000184218819430542.4010000001946211939160428.103010000205528219472010.502001001215631259401540.90211100010225727639009532.00300001023295629027711.20126000010244418439132020.701163010002536111529552123.90115900001264319299430530.5019700010274016839506440.2030000002846201589006412.401000011295630489453912.2030000113038131199410413.302010111315935359310611.20312200010324016299411712.002000010335328419480120.6031930000034306189133030.90300000035315509403541.803000010364824819264730.7010000003759351219472012.901000001385125719581411.40319800000394218141941143.

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DescriptionBackgroundA relatively young bank is growing rapidly i.docx

  1. 1. DescriptionBackground:A relatively young bank is growing rapidly in terms of overall customer acquisition.Majority of these are Liability customers with varying sizes of relationship with the bank.The customer base of Asset customers is quite small, and the bank WANTS to growthis base rapidly to bring in more loan business.Specifically, it wants to explore ways of converting its liability customers toPersonal Loan customers.A campaign the bank ran for liability customers last year showed a healthy conversionrate of over 9% successes. This has encouraged the Retail Marketing departmentto devise smarter campaigns with better target marketing.Analytics Objectives:1While designing a new campaign, can we model the previous campaign's customer behavior toanalyze what combination of parameters make a customer more likely toaccept a personal loan?2There are several special products / facilities the bank offers like CD and security accounts,online services, credit cards, etc. Can we spot any association among thesefor finding cross-selling opportunities?Data Description:IDCustomer IDAgeCustomer's age in completed yearsExperience#years of professional experienceIncomeAnnual income of the customer ($000)ZIPCodeHome Address ZIP code.FamilyFamily size of the customerCCAvgAvg. spending on credit cards per month ($000)EducationEducation Level. 1: Undergrad; 2: Graduate; 3: Advanced/ProfessionalMortgageValue of house mortgage if any. ($000)Personal LoanDid this customer accept the personal loan offered in the last campaign?Securities AccountDoes the customer have a securities account with the bank?CD AccountDoes the customer have a certificate of deposit (CD) account with the bank?OnlineDoes the customer use internet banking facilities?CreditCardDoes the customer use a credit card issued by UniversalBank?Note: Data are hypothetical© Cytel, Inc. 2005 DataUniversal Bank Customer
  2. 2. ProfilesIDAgeExperienceIncomeZIP CodeFamilyCCAvgEducationMortgagePersonal LoanSecurities AccountCD AccountOnlineCreditCard1251499110741.601001000245193490 08931.50100100033915119472011.00100000043591009411212. 7020000005358459133041.00200000163713299212140.402155 0001075327729171121.50200001085024229394310.303000001 93510819008930.60210400010103491809302318.90301000011 65391059471042.40300000012295459027730.10200001013482 31149310623.803001000145932409492042.5020000101567411 129174112.001001000166030229505411.503000011173814130 9501044.70313410000184218819430542.401000000194621193 9160428.103010000205528219472010.50200100121563125940 1540.90211100010225727639009532.003000010232956290277 11.20126000010244418439132020.70116301000253611152955 2123.90115900001264319299430530.501970001027401683950 6440.2030000002846201589006412.4010000112956304894539 12.2030000113038131199410413.302010111315935359310611. 20312200010324016299411712.002000010335328419480120.6 031930000034306189133030.90300000035315509403541.8030 00010364824819264730.7010000003759351219472012.901000 001385125719581411.403198000003942181419411435.003011 110403813809411540.70328500010415732849267231.6030010 0042349609412232.301000000433271329001941.10241210010 443915459561610.7010000104546201049406515.70100001146 5731529472042.501000001473914439501430.70215300010483 7121949138040.20321111111495626819574724.503000001504 016499237311.8010000015132889209340.70200101052613713 19472012.90100001053306729400510.10120700000545026190 9024532.1032401001055295449581910.2030000105641171399 402228.001000010575530299400530.102001110585631131956 1621.20301000059282939406520.201000000603151889132024. 50145500000614924399040431.7020010106247211259340715. 70111201000634218229008911.001000000644217329452340.0 020000106547231059002423.3010000006659351319136013.80 10000116762361059567022.80133600000685323459512342.00
  3. 3. 313201000694721609340732.101000011705329209004540.201 0000107142181159133513.501000001725329699390741.00200 00107344201309200715.001000001744116859460614.0030000 11752831359461123.301000001763171359490143.8020101117 75832129132030.303000000784620299222030.5020000007954 301339330522.603010000805026199472020.401118000108160 36419513441.30117400011824722409461232.70200001083411 6829250714.00300001084339509430512.402000000854622189 173010.903000010862721099400541.803000000874016429450 142.20212600000884822789430531.1010000108965415194117 21.1010000109025- 11139430342.3030000019155301189027745.602010010923510 299410541.103000010934319349430530.602000000946034649 455021.703236010109565391219261212.001000000963812489 561740.203000010974115809501415.201000000985428161921 2112.901000010994923949237410.30100001010066411591711 30.1030000101014823749408011.201000010102613630946083 1.3020000001035323449355531.0031980001110443182295670 20.3020000101055632389331141.301166000111062403594704 30.1020010101074317699271742.901000011108421843920371 0.70113600000109337329513610.603166000101104317499454 212.801000010111411499133031.002000000112623845941434 1.3020000101134015829177531.0013090000011458349292703 22.801103000001153914399235430.5030000101166540819202 431.8020000101175429359283111.50200001011858336192833 22.303193000101194116739264733.0010000101203271129430 414.601366000001215429129005720.203000010122522638917 1130.9030000101235832739452320.7020000111243713849213 013.6020010001253915789212142.40111800010126603580913 0130.5010000101273151159209621.3011010001112834882926 4612.702251000101293814749218220.00100101013041167092 13130.503000001131284819480131.5012760001013258341499 372047.202010111133311519084021.753000000134304399024 531.1020000101355329989503531.80200000013658334593010 42.1010000111375932499503542.502000010138492512895054 20.4010000001395934429492831.501001101140593518933051
  4. 4. 1.2030000101415125319024520.4031610001114235115895831 32.00114900011143339489177012.10300000114425154941174 1.6010000111454923709209321.5020000001465935124900071 7.4010000011474619849410212.6720000111485025839454243. 6031880001014952281639142320.401116000101504822429395 532.20200000015146221189410727.5010001111522601329283 436.5030100011535732249311711.30100001115460362294551 21.0010011111555429589261241.303000000156240609459641. 601000010157260159213140.4010000011584117839402542.67 1000011159326799472021.5030000111606135419454541.7020 010101612901349581946.5030100001626135809505322.80100 00101633812529003612.001000000164284709112542.6010000 101655327929512021.101001000166271439470611.501000010 167251219582731.002000000168339239430530.903000011169 5026139132041.0010000101702711129050342.1030000011712 711389025022.0010000101725228119581730.40100100017338 131719271727.8010000101745834429009541.50100001117542 171689550327.9020100101764520859171141.10200101017752 25449311131.00213500010178293659413241.80224400000179 5329249581840.2010000111806237119194210.1010000101815 127389040121.003164000101823612109352440.702810000018 32401359513311.5010000101842931489217334.101010010185 5226639271721.50200101018639141159132011.003000010187 4823459561610.30100001118846211599430531.903315100101 8964401699132022.1011220001019055291129404321.4010000 101916036939252114.3010000101925125299040410.30314000 0001935023859212212.6720000101944824219311840.6010000 1119553291449269726.8010000101963410139457741.0019501 01019748241659340715.001000001198553199134540.7018900 010199273599412340.001900101020036111589215215.103010 111201326299135511.903000011202359209460921.403000011 203303689430642.0020000102045834659574742.20100001020 55631619615021.902105000002063812919561641.4021000000 12074925319135511.0010010102083410719411540.102000000 2094016739411042.67100001121064391729470743.101282101 112115126209213120.0010000002124418559472010.20100000
  5. 5. 02134622699160421.7012090000021457331559132617.401000 0102155428949029111.9020000002163814929581820.0012490 00112172731259552120.6010000002183914749430533.001000 0002194420729280730.3030000102205630619470712.2030000 11221326259213020.3010000012224519839505121.702000010 2232621049430632.5010000002245525419501431.0030000102 255227589430541.80391000002263913939472011.5030000012 2724- 1399408521.70200000022847231489455127.501000111229472 2539267741.90398011012304824719311721.701145000012314 722929472012.8020000102323510619430442.10300001023346 19389412232.502135000002346237589132041.7010000102352 61809561610.80215000000236388719472041.80300001023743 18899340730.5030000112386238839252111.803000010239573 2289583130.201000011240283529411241.70200000024151267 09008911.201169000002424822719171111.4030000012434116 759400513.7032800000024465391709009537.90399101102454 117789402540.80178000102463511259261421.0020000002473 814609402520.60300001124853291209262642.7021111111024 95529999212121.40126400011250261559008932.60311300001 251306299430531.0021170000025254281709218226.20232510 0102536540539171132.20100000125447211389458310.001000 00025565411349194233.903121100102566640429210320.7031 3800001257260999269742.3030000012586641189269130.5010 00001259359249574740.3010000102605630559410711.401770 00102615127589240710.00100000126242161119310621.20325 1100102634923339024510.303000111264271749212141.80211 2000112654519389084020.7010000002664923239430540.6039 8010002676338619472021.5010000102684722819050412.9011 380000026964391299400212.5010000102704313339503910.75 30000002716036639406342.2010000102724014709492341.402 000010273293459502340.201158000112744116659009530.503 000010275305749561642.2010010012764924509470641.80300 1000277305229005840.50310900010278292309212641.003000 0002795026219112541.00100001028039141559457723.901000 010281338649212142.103164000102825731659411842.603000
  6. 6. 001283349719171140.7030000102846136409002930.50200101 02854419699280630.5030000102864013699430532.332000000 2875125459480630.602131000102883712629211030.70200000 128944191729430624.303391111102904215249212131.002000 0112915125809237314.901000000292431689008930.67288000 10293305389454240.801129000112944519939009542.6030000 00295359559453612.0010000102966034649430421.703000001 2973491229062310.0010000102985525709372031.4030000102 994319819206923.20100000030041151599005715.5030101103 01349709284341.30100100030265391509212026.90119600000 30345211529455027.50100001030449251959560543.00161710 0003054823229074010.1010000003066035229120711.3011230 00103075529799237330.8010000113084218339040111.403000 0103093281289472024.3310001113106238919592913.8010010 103115732399027740.90100001131252261219455017.3011670 0010313366219174110.673001010314349419372032.30100000 13156337459343720.70300001031624- 2519063030.30300001031757311659505411.602010010318401 61199133524.2020100103192721109567041.803190000103206 539209003430.7020000013216034649026610.80224800000322 44201019271734.402821000032363391019200713.9010111103 245934999003414.40101000032556301589008946.1010100003 265428899503911.9020000113275227809561611.30300011132 858321149133022.001402000103296035499411030.502000011 3302841919006416.3310000103315430789237441.0020000103 32326289411531.0010000003335933429563010.802000010334 63381409240712.5010000003354823459505311.302000010336 56321229582720.301360001113373612659505132.6020000103 385727689411711.4030000103392931539365722.00139200000 3403913899211041.4020000003415934919352412.6010000113 42316559203842.0021850001034343191189130423.301000001 344355229340710.673103000003455424639260631.403138000 113465127129219240.50278010103474419509074532.7020000 10348250439430521.60300111134940151739506046.60101011 1350262609340723.0011321000035139141139430111.0030010 103522841559218245.3020100103535228919269241.00200000
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