{"id":"https://openalex.org/W2058154614","doi":"https://doi.org/10.1109/dsaa.2014.7058072","title":"Account level demand estimation and intelligence framework","display_name":"Account level demand estimation and intelligence framework","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2058154614","doi":"https://doi.org/10.1109/dsaa.2014.7058072","mag":"2058154614"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa.2014.7058072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},"type":"article","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/A5020456130","display_name":"Pranjal Mallick","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]},{"id":"https://openalex.org/I4210117576","display_name":"Hewlett-Packard (India)","ror":"https://ror.org/02ffkja82","country_code":"IN","type":"company","lineage":["https://openalex.org/I1324840837","https://openalex.org/I4210117576"]}],"countries":["IN","US"],"is_corresponding":true,"raw_author_name":"Pranjal Mallick","raw_affiliation_strings":["Global Analytics, Hewlett-Packard Company, Bangalore, India","Global Analytics, Hewlett-Packard Company, Bagmane Tech Park, C V Raman Nagar, Bangalore, India 560093"],"affiliations":[{"raw_affiliation_string":"Global Analytics, Hewlett-Packard Company, Bangalore, India","institution_ids":["https://openalex.org/I4210117576"]},{"raw_affiliation_string":"Global Analytics, Hewlett-Packard Company, Bagmane Tech Park, C V Raman Nagar, Bangalore, India 560093","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060039320","display_name":"Vikash Kumar Sharma","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]},{"id":"https://openalex.org/I4210117576","display_name":"Hewlett-Packard (India)","ror":"https://ror.org/02ffkja82","country_code":"IN","type":"company","lineage":["https://openalex.org/I1324840837","https://openalex.org/I4210117576"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Vikash Kumar Sharma","raw_affiliation_strings":["Global Analytics, Hewlett-Packard Company, Bangalore, India","Global Analytics, Hewlett-Packard Company, Bagmane Tech Park, C V Raman Nagar, Bangalore, India 560093"],"affiliations":[{"raw_affiliation_string":"Global Analytics, Hewlett-Packard Company, Bangalore, India","institution_ids":["https://openalex.org/I4210117576"]},{"raw_affiliation_string":"Global Analytics, Hewlett-Packard Company, Bagmane Tech Park, C V Raman Nagar, Bangalore, India 560093","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070396551","display_name":"Parikshit Bhinde","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117576","display_name":"Hewlett-Packard (India)","ror":"https://ror.org/02ffkja82","country_code":"IN","type":"company","lineage":["https://openalex.org/I1324840837","https://openalex.org/I4210117576"]},{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Parikshit Bhinde","raw_affiliation_strings":["Global Analytics, Hewlett-Packard Company, Bangalore, India","Global Analytics, Hewlett-Packard Company, Bagmane Tech Park, C V Raman Nagar, Bangalore, India 560093"],"affiliations":[{"raw_affiliation_string":"Global Analytics, Hewlett-Packard Company, Bangalore, India","institution_ids":["https://openalex.org/I4210117576"]},{"raw_affiliation_string":"Global Analytics, Hewlett-Packard Company, Bagmane Tech Park, C V Raman Nagar, Bangalore, India 560093","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023419830","display_name":"Mutha Mandapati Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117576","display_name":"Hewlett-Packard (India)","ror":"https://ror.org/02ffkja82","country_code":"IN","type":"company","lineage":["https://openalex.org/I1324840837","https://openalex.org/I4210117576"]},{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Mutha Mandapati Reddy","raw_affiliation_strings":["Global Analytics, Hewlett-Packard Company, Bangalore, India","Global Analytics, Hewlett-Packard Company, Bagmane Tech Park, C V Raman Nagar, Bangalore, India 560093"],"affiliations":[{"raw_affiliation_string":"Global Analytics, Hewlett-Packard Company, Bangalore, India","institution_ids":["https://openalex.org/I4210117576"]},{"raw_affiliation_string":"Global Analytics, Hewlett-Packard Company, Bagmane Tech Park, C V Raman Nagar, Bangalore, India 560093","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020456130"],"corresponding_institution_ids":["https://openalex.org/I1324840837","https://openalex.org/I4210117576"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18916094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T12384","display_name":"Customer churn and segmentation","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.6640379428863525},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6204439401626587},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5719972848892212},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.547562837600708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5206800699234009},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.49571311473846436},{"id":"https://openalex.org/keywords/revenue-management","display_name":"Revenue management","score":0.4851735234260559},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.48168787360191345},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44007936120033264},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.42556583881378174},{"id":"https://openalex.org/keywords/point-of-sale","display_name":"Point of sale","score":0.4242461323738098},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3851932883262634},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20857521891593933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1265338659286499},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10554066300392151}],"concepts":[{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.6640379428863525},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6204439401626587},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5719972848892212},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.547562837600708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5206800699234009},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.49571311473846436},{"id":"https://openalex.org/C2781386248","wikidata":"https://www.wikidata.org/wiki/Q11898700","display_name":"Revenue management","level":3,"score":0.4851735234260559},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.48168787360191345},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44007936120033264},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.42556583881378174},{"id":"https://openalex.org/C58033187","wikidata":"https://www.wikidata.org/wiki/Q386147","display_name":"Point of sale","level":2,"score":0.4242461323738098},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3851932883262634},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20857521891593933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1265338659286499},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10554066300392151},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa.2014.7058072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1518240354","https://openalex.org/W1972676371","https://openalex.org/W2015233145","https://openalex.org/W2057547934","https://openalex.org/W2114304522","https://openalex.org/W2152350392","https://openalex.org/W4250589301","https://openalex.org/W6631027139"],"related_works":["https://openalex.org/W2044228410","https://openalex.org/W1993868599","https://openalex.org/W2069015515","https://openalex.org/W2245964726","https://openalex.org/W2461791041","https://openalex.org/W2065746868","https://openalex.org/W4292731053","https://openalex.org/W2034213488","https://openalex.org/W2043772913","https://openalex.org/W3199102409"],"abstract_inverted_index":{"In":[0],"the":[1,9,47,96,103,134,145,172,176],"context":[2],"of":[3,8,62,106,136],"business-to-business":[4],"(B2B)":[5],"commerce,":[6],"one":[7],"most":[10],"significant":[11],"strategic":[12],"activity":[13],"for":[14,26,55,102,141,162,181],"marketing":[15,58,65],"and":[16,64,67,92,109,118,147,178],"sales":[17,63],"teams":[18],"is":[19,37,166],"to":[20,78,120,132,151,156],"accurately":[21],"estimate":[22,79],"a":[23,75,82],"company's":[24],"demand":[25],"IT":[27],"products":[28,108],"that":[29],"can":[30],"be":[31],"fulfilled":[32],"by":[33,169],"HP.":[34],"This":[35],"metric":[36],"known":[38],"as":[39],"Account":[40],"level":[41,130],"Total":[42],"Addressable":[43],"Market":[44],"(A-TAM)":[45],"within":[46],"HP":[48,107],"community.":[49],"Accurate":[50],"A-TAM":[51,80,124],"estimates":[52,99],"are":[53,100],"vital":[54],"developing":[56],"superior":[57],"strategies,":[59],"optimizing":[60],"allocation":[61],"resources":[66],"thereby":[68],"driving":[69],"revenue":[70,165,177],"growth.":[71],"We":[72],"have":[73],"developed":[74],"robust":[76],"procedure":[77],"using":[81],"nonlinear":[83],"optimization":[84],"model":[85],"along":[86],"with":[87,89,128],"reconciliation":[88],"market":[90],"size":[91],"validated":[93],"input":[94],"from":[95,114],"field.":[97],"The":[98,160],"computed":[101],"entire":[104],"spectrum":[105],"services":[110],"encompassing":[111],"company":[112],"hierarchy":[113],"individual":[115],"accounts,":[116],"sites":[117],"divisions":[119],"global":[121],"entities.":[122],"Additionally,":[123],"has":[125],"been":[126],"combined":[127],"transaction":[129],"data":[131],"identify":[133],"characteristics":[135,150],"customers":[137,154],"which":[138,174],"show":[139,157],"tendency":[140],"increased":[142],"spending":[143],"over":[144],"years":[146],"use":[148,179],"those":[149,180],"pin":[152],"point":[153],"likely":[155],"similar":[158],"behavior.":[159],"potential":[161],"increment":[163],"in":[164],"also":[167],"quantified":[168],"analytically":[170],"determining":[171],"factors":[173],"drive":[175],"prediction.":[182]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
