{"id":"https://openalex.org/W2023841894","doi":"https://doi.org/10.1145/2783258.2789994","title":"Data-Driven Product Innovation","display_name":"Data-Driven Product Innovation","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W2023841894","doi":"https://doi.org/10.1145/2783258.2789994","mag":"2023841894"},"language":"en","primary_location":{"id":"doi:10.1145/2783258.2789994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2789994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5068016934","display_name":"Xin Fu","orcid":"https://orcid.org/0000-0003-4015-0778"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Fu","raw_affiliation_strings":["LinkedIn, Mountain View, USA","LinkedIn, Mountain View, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn, Mountain View, USA","institution_ids":["https://openalex.org/I1316064682"]},{"raw_affiliation_string":"LinkedIn, Mountain View, USA#TAB#","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100850552","display_name":"Hern\u00e1n Asorey","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hern\u00e1n Asorey","raw_affiliation_strings":["Salesforce.com, San Francisco, USA","Salesforce.com, San Francisco, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce.com, San Francisco, USA","institution_ids":["https://openalex.org/I4210155268"]},{"raw_affiliation_string":"Salesforce.com, San Francisco, USA#TAB#","institution_ids":["https://openalex.org/I4210155268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2311","last_page":"2312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9943000078201294,"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":0.9943000078201294,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9136999845504761,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/product","display_name":"Product (mathematics)","score":0.6019258499145508},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5955201387405396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5828277468681335},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5460680723190308},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5040715932846069},{"id":"https://openalex.org/keywords/product-innovation","display_name":"Product innovation","score":0.4829901456832886},{"id":"https://openalex.org/keywords/new-product-development","display_name":"New product development","score":0.48141050338745117},{"id":"https://openalex.org/keywords/business-model","display_name":"Business model","score":0.4539962410926819},{"id":"https://openalex.org/keywords/petabyte","display_name":"Petabyte","score":0.4455054998397827},{"id":"https://openalex.org/keywords/product-design","display_name":"Product design","score":0.42551594972610474},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4118639826774597},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.39804697036743164},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.38249415159225464},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2952969968318939},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.28835222125053406},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10319274663925171}],"concepts":[{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6019258499145508},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5955201387405396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828277468681335},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5460680723190308},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5040715932846069},{"id":"https://openalex.org/C75434695","wikidata":"https://www.wikidata.org/wiki/Q7247768","display_name":"Product innovation","level":2,"score":0.4829901456832886},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.48141050338745117},{"id":"https://openalex.org/C4216890","wikidata":"https://www.wikidata.org/wiki/Q815823","display_name":"Business model","level":2,"score":0.4539962410926819},{"id":"https://openalex.org/C13600138","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Petabyte","level":3,"score":0.4455054998397827},{"id":"https://openalex.org/C120823896","wikidata":"https://www.wikidata.org/wiki/Q1043226","display_name":"Product design","level":3,"score":0.42551594972610474},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4118639826774597},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.39804697036743164},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.38249415159225464},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2952969968318939},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.28835222125053406},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10319274663925171},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2783258.2789994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2789994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2198164489","https://openalex.org/W2028624523","https://openalex.org/W1969426912","https://openalex.org/W2079825352","https://openalex.org/W3144360982","https://openalex.org/W2349148222","https://openalex.org/W1968930765","https://openalex.org/W3209560517","https://openalex.org/W2111740100","https://openalex.org/W2072996905"],"abstract_inverted_index":{"Data":[0,11,64,133],"Science":[1,134],"is":[2,60,165],"an":[3],"increasingly":[4],"popular":[5],"area":[6],"of":[7,34,39,50,56,72,113,124,130,138,162],"Knowledge":[8],"Discovery":[9],"and":[10,23,45,52,80,86,103,170,186,191,194,198],"Mining.":[12],"Leading":[13],"consumer":[14,142],"Web":[15,143],"companies":[16,29],"such":[17,95],"as":[18,25,27,96],"Amazon,":[19],"Facebook,":[20],"eBay,":[21],"Google":[22],"LinkedIn,":[24],"well":[26],"B2B":[28],"like":[30],"Salesforce,":[31],"possess":[32],"Petabytes":[33],"data.":[35],"Through":[36],"effective":[37],"mining":[38],"this":[40,125,146,163],"data,":[41],"they":[42,90],"create":[43],"products":[44],"services":[46],"that":[47,63,118,152],"benefit":[48],"millions":[49],"users":[51],"generate":[53],"tremendous":[54],"amount":[55],"business":[57],"value.":[58],"It":[59],"widely":[61],"acknowledged":[62],"Scientists":[65],"play":[66],"key":[67],"roles":[68],"in":[69,136],"the":[70,97,111,139,150,166,175],"creation":[71],"these":[73],"products,":[74],"from":[75,214],"pattern":[76],"identification,":[77],"idea":[78],"generation":[79],"product":[81,116,158,189,192,209],"prototyping":[82],"to":[83,155,182],"experiment":[84],"design":[85],"launch":[87],"decisions.":[88],"Nonetheless,":[89],"also":[91,202],"face":[92],"common":[93],"challenges,":[94],"gap":[98],"between":[99,184,188,195],"creating":[100],"a":[101,107,178],"prototype":[102],"turning":[104],"it":[105],"into":[106],"scalable":[108],"product,":[109],"or":[110],"frustration":[112],"generating":[114],"innovative":[115],"ideas":[117],"do":[119],"not":[120],"get":[121],"adopted.":[122],"Organizers":[123],"tutorial":[126],"have":[127],"many":[128],"years":[129],"experience":[131],"leading":[132],"teams":[135],"some":[137,204],"most":[140],"successful":[141,207],"companies.":[144],"In":[145],"tutorial,":[147],"we":[148,153,173],"introduce":[149],"framework":[151,164],"created":[154],"nurture":[156],"data-driven":[157,208],"innovations.":[159],"The":[160],"core":[161],"focus":[167],"on":[168,180],"scale":[169],"impact":[171],"-":[172],"take":[174],"audience":[176],"through":[177],"discussion":[179],"how":[181],"balance":[183],"velocity":[185],"scale,":[187],"innovation":[190,210],"operation,":[193],"theoretical":[196],"research":[197],"practical":[199],"impact.":[200],"We":[201],"share":[203],"guidelines":[205],"for":[206],"with":[211],"real":[212],"examples":[213],"our":[215],"experiences.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
