Publication Information

{'id': 'https://openalex.org/W2184491396', 'doi': None, 'title': 'Impact of Big Data Analytics on Business Intelligence-Scope of Predictive Analytics', 'display_name': 'Impact of Big Data Analytics on Business Intelligence-Scope of Predictive Analytics', 'publication_year': 2015, 'publication_date': '2015-01-01', 'ids': {'openalex': 'https://openalex.org/W2184491396', 'mag': '2184491396'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://inpressco.com/wp-content/uploads/2015/03/Paper49856-860.pdf', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5059081113', 'display_name': 'P. Soumya', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'P. Soumya', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5017369716', 'display_name': 'Sree Laxmi', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Sree Laxmi', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 1.433, 'has_fulltext': False, 'cited_by_count': 6, 'citation_normalized_percentile': {'value': 0.853072, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 82, 'max': 83}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11891', 'display_name': 'Big Data and Business Intelligence', 'score': 0.9998, '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': 0.9998, '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/T11719', 'display_name': 'Data Quality and Management', 'score': 0.976, 'subfield': {'id': 'https://openalex.org/subfields/1803', 'display_name': 'Management Science and Operations Research'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T10538', 'display_name': 'Data Mining Algorithms and Applications', 'score': 0.9668, '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/business-intelligence', 'display_name': 'Business Intelligence', 'score': 0.8265846}, {'id': 'https://openalex.org/keywords/business-analytics', 'display_name': 'Business analytics', 'score': 0.82110083}, {'id': 'https://openalex.org/keywords/predictive-analytics', 'display_name': 'Predictive Analytics', 'score': 0.52156585}, {'id': 'https://openalex.org/keywords/web-analytics', 'display_name': 'Web analytics', 'score': 0.4558084}, {'id': 'https://openalex.org/keywords/data-analysis', 'display_name': 'Data Analysis', 'score': 0.41978848}, {'id': 'https://openalex.org/keywords/software-analytics', 'display_name': 'Software analytics', 'score': 0.41648605}], 'concepts': [{'id': 'https://openalex.org/C2767350', 'wikidata': 'https://www.wikidata.org/wiki/Q6662173', 'display_name': 'Business intelligence', 'level': 2, 'score': 0.8265846}, {'id': 'https://openalex.org/C37952496', 'wikidata': 'https://www.wikidata.org/wiki/Q5001829', 'display_name': 'Business analytics', 'level': 4, 'score': 0.82110083}, {'id': 'https://openalex.org/C75684735', 'wikidata': 'https://www.wikidata.org/wiki/Q858810', 'display_name': 'Big data', 'level': 2, 'score': 0.7652235}, {'id': 'https://openalex.org/C79158427', 'wikidata': 'https://www.wikidata.org/wiki/Q485396', 'display_name': 'Analytics', 'level': 2, 'score': 0.622252}, {'id': 'https://openalex.org/C2522767166', 'wikidata': 'https://www.wikidata.org/wiki/Q2374463', 'display_name': 'Data science', 'level': 1, 'score': 0.5934595}, {'id': 'https://openalex.org/C83209312', 'wikidata': 'https://www.wikidata.org/wiki/Q1053367', 'display_name': 'Predictive analytics', 'level': 2, 'score': 0.52156585}, {'id': 'https://openalex.org/C516187249', 'wikidata': 'https://www.wikidata.org/wiki/Q10719477', 'display_name': 'Web analytics', 'level': 5, 'score': 0.4558084}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.44418308}, {'id': 'https://openalex.org/C175801342', 'wikidata': 'https://www.wikidata.org/wiki/Q1988917', 'display_name': 'Data analysis', 'level': 2, 'score': 0.41978848}, {'id': 'https://openalex.org/C171981572', 'wikidata': 'https://www.wikidata.org/wiki/Q7554239', 'display_name': 'Software analytics', 'level': 5, 'score': 0.41648605}, {'id': 'https://openalex.org/C56739046', 'wikidata': 'https://www.wikidata.org/wiki/Q192060', 'display_name': 'Knowledge management', 'level': 1, 'score': 0.37854323}, {'id': 'https://openalex.org/C144133560', 'wikidata': 'https://www.wikidata.org/wiki/Q4830453', 'display_name': 'Business', 'level': 0, 'score': 0.34560162}, {'id': 'https://openalex.org/C189076506', 'wikidata': 'https://www.wikidata.org/wiki/Q1518232', 'display_name': 'Business analysis', 'level': 3, 'score': 0.32348594}, {'id': 'https://openalex.org/C4216890', 'wikidata': 'https://www.wikidata.org/wiki/Q815823', 'display_name': 'Business model', 'level': 2, 'score': 0.29372054}, {'id': 'https://openalex.org/C544335954', 'wikidata': 'https://www.wikidata.org/wiki/Q2553348', 'display_name': 'Web intelligence', 'level': 4, 'score': 0.2626087}, {'id': 'https://openalex.org/C162853370', 'wikidata': 'https://www.wikidata.org/wiki/Q39809', 'display_name': 'Marketing', 'level': 1, 'score': 0.24399164}, {'id': 'https://openalex.org/C136764020', 'wikidata': 'https://www.wikidata.org/wiki/Q466', 'display_name': 'World Wide Web', 'level': 1, 'score': 0.2318365}, {'id': 'https://openalex.org/C110875604', 'wikidata': 'https://www.wikidata.org/wiki/Q75', 'display_name': 'The Internet', 'level': 2, 'score': 0.12948689}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.11967209}, {'id': 'https://openalex.org/C79373723', 'wikidata': 'https://www.wikidata.org/wiki/Q386275', 'display_name': 'Web development', 'level': 3, 'score': 0.0}, {'id': 'https://openalex.org/C186846655', 'wikidata': 'https://www.wikidata.org/wiki/Q3398377', 'display_name': 'Software construction', 'level': 4, 'score': 0.0}, {'id': 'https://openalex.org/C2777904410', 'wikidata': 'https://www.wikidata.org/wiki/Q7397', 'display_name': 'Software', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C149091818', 'wikidata': 'https://www.wikidata.org/wiki/Q2429814', 'display_name': 'Software system', 'level': 3, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://inpressco.com/wp-content/uploads/2015/03/Paper49856-860.pdf', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'score': 0.46, 'display_name': 'Industry, innovation and infrastructure', 'id': 'https://metadata.un.org/sdg/9'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 3, 'referenced_works': ['https://openalex.org/W2003584736', 'https://openalex.org/W593727409', 'https://openalex.org/W619313412'], 'related_works': ['https://openalex.org/W610753323', 'https://openalex.org/W3209127264', 'https://openalex.org/W3203362583', 'https://openalex.org/W3176619523', 'https://openalex.org/W3161000136', 'https://openalex.org/W3158075111', 'https://openalex.org/W3145789934', 'https://openalex.org/W3120620120', 'https://openalex.org/W3046329618', 'https://openalex.org/W3045416998', 'https://openalex.org/W3027059278', 'https://openalex.org/W3015888132', 'https://openalex.org/W2994054149', 'https://openalex.org/W2511025511', 'https://openalex.org/W2499636881', 'https://openalex.org/W2183115994', 'https://openalex.org/W2090870577', 'https://openalex.org/W2023134523', 'https://openalex.org/W1535199818', 'https://openalex.org/W1020556916'], 'abstract_inverted_index': {'The': [0], 'Big': [1, 61], 'Data': [2], 'is': [3, 14, 42, 64], 'the': [4, 10, 47, 51, 99, 102, 147, 153, 163, 170], 'buzzword': [5], 'in': [6, 83, 116, 139], 'present': [7], 'days': [8], 'across': [9], 'globe.': [11], 'As': [12], 'there': [13], 'a': [15, 43, 67, 176], 'huge': [16], 'data': [17, 62, 126, 157], 'generated': [18], 'by': [19], 'different': [20, 150], 'sources': [21], 'such': [22, 58], 'as': [23, 66, 86], 'business': [24, 69, 95, 159, 172], 'people,': [25], 'marketing,': [26], 'education,': [27], 'engineering,': [28], 'medicine,': [29], 'social': [30], 'media,': [31], 'on-line': [32], 'transactions,': [33], 'call': [34], 'centers,': [35], 'sensors,': [36], 'web': [37], 'logs': [38], 'and': [39, 55, 80, 124, 135, 152, 161, 178], 'telecommunication.': [40], 'There': [41], 'need': [44], 'to': [45, 74, 89, 93, 112, 127], 'manage': [46], 'risk': [48], 'associated': [49], 'with': [50, 169], 'collection,': [52], 'storage,': [53], 'retrieval': [54], 'analysis': [56], 'of': [57, 101, 149, 155, 166], 'enormous': [59], 'data.': [60], 'analytics': [63, 81, 111, 151], 'emerged': [65], 'core': [68], 'practice': [70], 'that': [71, 131], 'firms': [72], 'use': [73, 90], 'understand': [75, 113, 136], 'their': [76], 'business.': [77], 'Business': [78, 103], 'intelligence': [79, 104, 160], 'are': [82, 107, 122], 'high': [84], 'demand': [85, 100], 'organizations': [87], 'seek': [88], 'information': [91], 'assets': [92], 'improve': [94], 'outcomes.': [96, 181], 'To': [97], 'meet': [98], '(BI)': [105], 'vendors': [106], 'looking': [108], 'at': [109], 'predictive': [110, 167], 'customer': [114], 'behavior': [115], 'new': [117], 'ways.': [118], 'E': [119], '–Business': [120], 'merchants': [121], 'collecting': [123], 'analyzing': [125], 'discover': [128], 'shopping': [129], 'patterns': [130], 'will': [132, 174], 'predict': [133], 'value': [134], 'consumer': [137], 'experiences': [138], 'digital': [140], 'context.': [141], 'In': [142], 'this': [143], 'paper': [144], 'we': [145], 'described': [146], 'evolution': [148], 'impact': [154], 'big': [156], 'on': [158], 'also': [162], 'future': [164], 'scope': [165], 'analytic': [168], 'existing': [171], 'which': [173], 'yield': [175], 'better': [177], 'cost': [179], 'reduced': [180]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2184491396', 'counts_by_year': [{'year': 2023, 'cited_by_count': 1}, {'year': 2020, 'cited_by_count': 1}, {'year': 2019, 'cited_by_count': 1}, {'year': 2016, 'cited_by_count': 2}, {'year': 2015, 'cited_by_count': 1}], 'updated_date': '2024-12-12T00:38:25.197799', 'created_date': '2016-06-24'}