{"id":"https://openalex.org/W266604589","doi":null,"title":"How Large Corporations Use Data Mining to Create Value","display_name":"How Large Corporations Use Data Mining to Create Value","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W266604589","mag":"266604589"},"language":"en","primary_location":{"id":"mag:266604589","doi":null,"is_oa":false,"landing_page_url":"https://www.questia.com/library/journal/1G1-99824637/how-large-corporations-use-data-mining-to-create-value","pdf_url":null,"source":{"id":"https://openalex.org/S2764513795","display_name":"Management accounting quarterly","issn_l":"1528-5359","issn":["1528-5359"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["abdc-c"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Management accounting quarterly","raw_type":null},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056507490","display_name":"Thomas G. Calderon","orcid":"https://orcid.org/0000-0002-4088-2373","observed_orcids":["https://orcid.org/0000-0002-4088-2373"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas G. Calderon","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4088-2373","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020379983","display_name":"John J. Cheh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John J. Cheh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5086998305","display_name":"Il-Woon Kim","orcid":"https://orcid.org/0000-0002-8483-8120","observed_orcids":["https://orcid.org/0000-0002-8483-8120"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Il-Woon Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2572,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83944229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":"2","first_page":"1","last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13204","display_name":"Competitive and Knowledge Intelligence","score":0.007799999788403511,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.006899999920278788,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.9959999918937683},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"business intelligence","score":0.8849999904632568},{"id":"https://openalex.org/keywords/competitive-advantage","display_name":"competitive advantage","score":0.5989999771118164},{"id":"https://openalex.org/keywords/fortune-500-companies","display_name":"Fortune 500 companies","score":0.8960000276565552},{"id":"https://openalex.org/keywords/management-accounting","display_name":"management accounting","score":0.5820000171661377},{"id":"https://openalex.org/keywords/value-creation","display_name":"value creation","score":0.6809999942779541},{"id":"https://openalex.org/keywords/data-mining-process","display_name":"data mining process","score":0.593999981880188},{"id":"https://openalex.org/keywords/data-mining-tools","display_name":"data mining tools","score":0.5699999928474426},{"id":"https://openalex.org/keywords/data-sources","display_name":"data sources","score":0.6980000138282776},{"id":"https://openalex.org/keywords/business-databases","display_name":"business databases","score":0.4620000123977661},{"id":"https://openalex.org/keywords/data-warehousing","display_name":"data warehousing","score":0.4699999988079071},{"id":"https://openalex.org/keywords/data-mart","display_name":"data mart","score":0.7730000019073486},{"id":"https://openalex.org/keywords/competitive-intelligence","display_name":"competitive intelligence","score":0.4909999966621399},{"id":"https://openalex.org/keywords/management-accounting-education","display_name":"management accounting education","score":0.30399999022483826}],"concepts":[{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.687301754951477},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.5610532164573669},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4950508177280426},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47471892833709717},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.45748013257980347},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45062923431396484},{"id":"https://openalex.org/C58546491","wikidata":"https://www.wikidata.org/wiki/Q1150207","display_name":"Competitive advantage","level":2,"score":0.4366014003753662},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4284650683403015},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.42239946126937866},{"id":"https://openalex.org/C103423482","wikidata":"https://www.wikidata.org/wiki/Q552515","display_name":"Competitive intelligence","level":2,"score":0.421339750289917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40221142768859863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37434566020965576},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.351661741733551},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2786296606063843},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:266604589","doi":null,"is_oa":false,"landing_page_url":"https://www.questia.com/library/journal/1G1-99824637/how-large-corporations-use-data-mining-to-create-value","pdf_url":null,"source":{"id":"https://openalex.org/S2764513795","display_name":"Management accounting quarterly","issn_l":"1528-5359","issn":["1528-5359"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["abdc-c"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Management accounting quarterly","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7100632475","https://openalex.org/W2082046852","https://openalex.org/W2302727951","https://openalex.org/W2787551518","https://openalex.org/W3007175178","https://openalex.org/W618150579","https://openalex.org/W1977421370","https://openalex.org/W32832771","https://openalex.org/W2947690776","https://openalex.org/W1616718421"],"abstract_inverted_index":{"MOST":[0],"COMPANIES":[1,35],"HAVE":[2],"DEPLOYED":[3],"DATA":[4,7,17],"MARTS":[5],"AND":[6,36],"WAREHOUSES,":[8],"BUT":[9],"ABOUT":[10],"35%":[11],"SAY":[12],"THEY":[13],"DO":[14],"NOT":[15],"USE":[16],"MINING.":[18],"WE":[19],"REVIEW":[20],"THE":[21,318],"DATA-MINING":[22,41,319],"PROCESS,":[23],"WITH":[24],"A":[25,28,40,368,550],"REPORT":[26],"ON":[27],"SURVEY":[29],"OF":[30,39],"PRACTICES":[31],"AMONG":[32],"FORTUNE":[33],"500":[34,193,213],"AN":[37],"EXAMPLE":[38],"TASK.":[42],"Recent":[43],"literature":[44],"describes":[45],"several":[46,596],"cases":[47],"where":[48],"managers":[49,538],"are":[50,154,204,513],"tapping":[51],"into":[52,61,206,450],"their":[53,58,175,316,501],"corporate":[54],"databases":[55,462,575],"and":[56,68,86,161,195,252,313,338,381,401,417,420,423,439,456,512,534,592],"transforming":[57],"raw":[59],"data":[60,100,111,150,227,245,250,263,307,329,363,370,382,396,405,444,449,454,468,477,479,486,489,495,504,532,535,551,561,582,586],"knowledge":[62,119,548,566],"that":[63,127,215,270,537,562,576,594],"provides":[64,384],"significant":[65],"business":[66,115,122,257,311,336,379,386,471,571,579],"intelligence":[67,312,337,387],"competitive":[69,95],"advantage.":[70],"This":[71],"process,":[72,183],"which":[73,260],"companies":[74,214,222,235,241,247,261],"such":[75,344,414,433,523],"as":[76,99,137,139,415,434,524,542,564],"Johnson":[77],"&":[78,84],"Johnson,":[79],"GE":[80],"Capital,":[81],"Fingerhut,":[82],"Procter":[83],"Gamble,":[85],"Harrah's":[87],"Casino":[88],"have":[89],"used":[90,170],"very":[91,156,509],"effectively":[92],"to":[93,109,117,171,280,285,305,309,376,388,499,540],"create":[94,118,172,281,310],"intelligence,":[96],"is":[97,163,324,365,553],"known":[98],"mining.":[101,264],"(1)":[102],"The":[103],"data-mining":[104,133,182,189,201,217,233,239,278,353,461],"process":[105],"allows":[106],"a":[107,186,200,277,291,296,322,333,374,377,451,508,516,554,565,569,581],"company":[108],"harness":[110],"generated":[112],"from":[113,130,410,429,463,469],"normal":[114,411],"processes":[116],"for":[120,174,224,249,259,300,315,335,373,478,568,587],"solving":[121],"problems.":[123],"One":[124],"study":[125],"reports":[126],"the":[128,147,166,181,208,220,230,238,244,254,287,341,352,360,393,395,399,404,443,448,459,467,492,545],"payoff":[129],"an":[131,197,268,349,520],"effective":[132,328],"project":[134,323],"can":[135,275],"be":[136],"high":[138],"$24":[140],"million":[141],"in":[142,481,519],"certain":[143],"companies.":[144],"(2)":[145],"Despite":[146],"potential":[148],"of":[149,168,188,199,232,256,290,298,343,351,362,403,544,557,560],"mining,":[151,228,251],"management":[152,273],"accountants":[153,274,474],"not":[155,225],"familiar":[157],"with":[158,295,332,340],"its":[159],"concepts,":[160],"it":[162],"seldom":[164],"among":[165,191],"repertoire":[167],"tools":[169],"value":[173,314],"employers.":[176,317],"We":[177,265,293],"will":[178],"briefly":[179],"review":[180],"report":[184],"on":[185],"survey":[187],"practices":[190],"Fortune":[192,212],"companies,":[194],"provide":[196],"example":[198,269],"task.":[202],"Included":[203],"insights":[205],"(a)":[207],"functional":[209],"areas":[210],"within":[211],"use":[216,248,262,276,306,541],"techniques,":[218],"(b)":[219],"reasons":[221],"give":[223],"using":[226],"(c)":[229],"types":[231,255],"software":[234],"use,":[236,242],"(d)":[237],"techniques":[240],"(e)":[243],"sources":[246,432],"(f)":[253],"applications":[258],"also":[266,427],"offer":[267],"shows":[271,348],"how":[272],"technique":[279],"highly":[282],"intuitive":[283],"guidelines":[284],"evaluate":[286],"financial":[288,301],"health":[289],"business.":[292],"conclude":[294],"set":[297],"recommendations":[299],"professionals":[302],"who":[303],"want":[304],"mining":[308,330,364,383,480],"PROCESS":[320],"Whether":[321],"simple":[325],"or":[326,465,484,527],"complex,":[327],"originates":[331],"need":[334],"culminates":[339],"creation":[342],"intelligence.":[345],"Figure":[346],"1":[347,356],"overview":[350],"process.":[354],"[FIGURE":[355],"OMITTED]":[357],"In":[358],"practice,":[359],"goal":[361],"often":[366],"modest.":[367],"successful":[369],"miner":[371,397,445],"looks":[372],"solution":[375],"well-defined":[378],"problem,":[380,394],"necessary":[385,460],"solve":[389],"it.":[390],"After":[391],"defining":[392],"determines":[398],"type":[400],"scope":[402],"needed.":[406],"Data":[407,425],"may":[408,426,475],"come":[409,428],"operational":[412,574],"activities":[413],"sales":[416],"marketing,":[418],"procurement":[419],"logistics,":[421],"production,":[422],"accounting.":[424],"external,":[430],"nonroutine":[431],"government":[435],"statistical":[436],"sources,":[437],"surveys,":[438],"commercial":[440],"databases.":[441,472],"Usually,":[442],"must":[446],"pool":[447],"single":[452,517],"usable":[453],"repository":[455,556],"then":[457],"build":[458],"scratch":[464],"prepare":[466],"existing":[470],"Management":[473],"store":[476],"either":[482],"informal":[483],"formal":[485],"repositories.":[487],"Informal":[488],"repositories":[490,530],"include":[491,531],"ad":[493],"hoc":[494],"files":[496,505],"they":[497],"keep":[498],"facilitate":[500],"projects.":[502],"These":[503],"typically":[506],"enable":[507],"restricted":[510],"function":[511],"maintained":[514],"by":[515],"person":[518],"end-user-oriented":[521],"application":[522],"Microsoft":[525],"Access":[526],"Excel.":[528],"Formal":[529],"warehouses":[533],"marts":[536],"intend":[539],"part":[543],"organization's":[546],"documented":[547],"base.":[549],"warehouse":[552,583],"systematic":[555],"large":[558],"volumes":[559],"serves":[563],"base":[567],"company's":[570],"decisions.":[572],"Unlike":[573],"support":[577],"ongoing":[578],"transactions,":[580],"includes":[584],"integrated":[585],"customers,":[588],"vendors,":[589],"products,":[590],"events,":[591],"transactions":[593],"span":[595],"years.":[597],"\u2026":[598]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
