{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T16:48:31Z","timestamp":1771001311596,"version":"3.50.1"},"publisher-location":"Cham","reference-count":106,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030816346","type":"print"},{"value":"9783030816353","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-81635-3_35","type":"book-chapter","created":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T23:08:20Z","timestamp":1626476900000},"page":"429-443","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Data Quality Categories with a First Exploration Towards Agility"],"prefix":"10.1007","author":[{"given":"Christian","family":"Ploder","sequence":"first","affiliation":[]},{"given":"Reinhard","family":"Bernsteiner","sequence":"additional","affiliation":[]},{"given":"Stephan","family":"Schl\u00f6gl","sequence":"additional","affiliation":[]},{"given":"Rebecca","family":"Weichelt","sequence":"additional","affiliation":[]},{"given":"Sofia","family":"Herfert","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,17]]},"reference":[{"issue":"2","key":"35_CR1","first-page":"3","volume":"17","author":"A Abbasi","year":"2016","unstructured":"Abbasi, A., Sarker, S., Chiang, R.H.: Big data research in information systems: toward an inclusive research agenda. J. Assoc. Inf. Syst. 17(2), 3 (2016)","journal-title":"J. Assoc. Inf. Syst."},{"key":"35_CR2","doi-asserted-by":"crossref","unstructured":"Abdallah, M.: Big data quality challenges. In: 2019 International Conference on Big Data and Computational Intelligence (ICBDCI), pp. 1\u20133. IEEE (2019)","DOI":"10.1109\/ICBDCI.2019.8686099"},{"key":"35_CR3","first-page":"424","volume":"49","author":"R Abraham","year":"2019","unstructured":"Abraham, R., Schneider, J., vom Brocke, J.: Data governance: a conceptual framework, structured review, and research agenda. J. Assoc. Inf. Syst. 49, 424\u2013438 (2019)","journal-title":"J. Assoc. Inf. Syst."},{"key":"35_CR4","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.procs.2018.10.181","volume":"141","author":"A Al-Badi","year":"2018","unstructured":"Al-Badi, A., Tarhini, A., Khan, A.I.: Exploring big data governance frameworks. Procedia Comput. Sci. 141, 271\u2013277 (2018)","journal-title":"Procedia Comput. Sci."},{"issue":"2","key":"35_CR5","first-page":"147","volume":"10","author":"M Aljumaili","year":"2018","unstructured":"Aljumaili, M., Karim, R., Tretten, P.: Data quality assessment using multi-attribute maintenance perspective. Int. J. Inf. Dec. Sci. 10(2), 147\u2013161 (2018)","journal-title":"Int. J. Inf. Dec. Sci."},{"key":"35_CR6","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-27033-3_1","volume-title":"Software Quality. The Future of Systems- and Software Development","author":"SW Ambler","year":"2016","unstructured":"Ambler, S.W., Lines, M.: The disciplined agile process decision framework. In: Winkler, D., Biffl, S., Bergsmann, J. (eds.) SWQD 2016. LNBIP, vol. 238, pp. 3\u201314. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-27033-3_1"},{"key":"35_CR7","unstructured":"Apel, D., Behme, W., Eberlein, R., Merighi, C.: Successfully control data quality: Practice solutions for business intelligence projects. Heidelberg: dpunkt. verlag (2015)"},{"key":"35_CR8","doi-asserted-by":"crossref","unstructured":"Appelbaum, S.H., Calla, R., Desautels, D., Hasan, L.: The challenges of organizational agility (part 1). Industrial and Commercial Training (2017)","DOI":"10.1108\/ICT-05-2016-0027"},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Appelbaum, S.H., Calla, R., Desautels, D., Hasan, L.N.: The challenges of organizational agility: part 2. Industrial and Commercial Training (2017)","DOI":"10.1108\/ICT-05-2016-0028"},{"key":"35_CR10","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1016\/j.future.2018.07.014","volume":"89","author":"D Ardagna","year":"2018","unstructured":"Ardagna, D., Cappiello, C., Sam\u00e1, W., Vitali, M.: Context-aware data quality assessment for big data. Futur. Gener. Comput. Syst. 89, 548\u2013562 (2018)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Arta\u010d, M., Borov\u0161ak, T., Di Nitto, E., Guerriero, M., Tamburri, D.A.: Model-driven continuous deployment for quality DevOps. In: Proceedings of the 2nd International Workshop on Quality-Aware DevOps, pp. 40\u201341 (2016)","DOI":"10.1145\/2945408.2945417"},{"key":"35_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ijinfomgt.2018.12.005","volume":"47","author":"A Ashrafi","year":"2019","unstructured":"Ashrafi, A., Ravasan, A.Z., Trkman, P., Afshari, S.: The role of business analytics capabilities in bolstering firms\u2019 agility and performance. Int. J. Inf. Manage. 47, 1\u201315 (2019)","journal-title":"Int. J. Inf. Manage."},{"key":"35_CR13","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.ijinfomgt.2018.02.007","volume":"41","author":"O Azeroual","year":"2018","unstructured":"Azeroual, O., Saake, G., Schallehn, E.: Analyzing data quality issues in research information systems via data profiling. Int. J. Inf. Manage. 41, 50\u201356 (2018)","journal-title":"Int. J. Inf. Manage."},{"key":"35_CR14","unstructured":"Barker, J.M.: Data Governance: the missing approach to improving data quality. University of Phoenix (2016)"},{"issue":"3","key":"35_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1541880.1541883","volume":"41","author":"C Batini","year":"2009","unstructured":"Batini, C., Cappiello, C., Francalanci, C., Maurino, A.: Methodologies for data quality assessment and improvement. ACM Comput. Surveys (CSUR) 41(3), 1\u201352 (2009)","journal-title":"ACM Comput. Surveys (CSUR)"},{"key":"35_CR16","doi-asserted-by":"crossref","unstructured":"Batini, C., Rula, A., Scannapieco, M., Viscusi, G.: From data quality to big data quality. In: Big Data: Concepts, Methodologies, Tools, and Applications, pp. 1934\u20131956. IGI Global (2016)","DOI":"10.4018\/978-1-4666-9840-6.ch089"},{"issue":"4","key":"35_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/JDM.2017100101","volume":"28","author":"D Batra","year":"2017","unstructured":"Batra, D.: Adapting agile practices for data warehousing, business intelligence, and analytics. J. Database Manage. (JDM) 28(4), 1\u201323 (2017)","journal-title":"J. Database Manage. (JDM)"},{"key":"35_CR18","volume-title":"Data-Warehouse-Systeme: Architektur","author":"A Bauer","year":"2013","unstructured":"Bauer, A., G\u00fcnzel, H.: Data-Warehouse-Systeme: Architektur. Anwendung. dpunkt. verlag, Entwicklung (2013)"},{"key":"35_CR19","unstructured":"Benkhaled, H.N., Berrabah, D.: Data quality management for data warehouse systems: state of the art. In: JERI (2019)"},{"issue":"1","key":"35_CR20","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1108\/01443570910925352","volume":"29","author":"ES Bernardes","year":"2009","unstructured":"Bernardes, E.S., Hanna, M.D.: A theoretical review of flexibility, agility and responsiveness in the operations management literature: toward a conceptual definition of customer responsiveness. Int. J. Oper. Prod. Manage. 29(1), 30\u201353 (2009)","journal-title":"Int. J. Oper. Prod. Manage."},{"key":"35_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/978-3-319-12256-4_7","volume-title":"Advances in Conceptual Modeling","author":"I Caballero","year":"2014","unstructured":"Caballero, I., Serrano, M., Piattini, M.: A data quality in use model for big data. In: Indulska, M., Purao, S. (eds.) ER 2014. LNCS, vol. 8823, pp. 65\u201374. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-12256-4_7"},{"key":"35_CR22","doi-asserted-by":"publisher","unstructured":"Cai, L., Zhu, Y.: The challenges of data quality and data quality assessment in the big data era. Data Sci. J. 14, 1\u201310 (2015). https:\/\/doi.org\/10.5334\/dsj-2015-002","DOI":"10.5334\/dsj-2015-002"},{"key":"35_CR23","doi-asserted-by":"crossref","unstructured":"Chen, H.M., Kazman, R., Haziyev, S.: Agile big data analytics development: An architecture-centric approach. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 5378\u20135387. IEEE (2016)","DOI":"10.1109\/HICSS.2016.665"},{"issue":"2","key":"35_CR24","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11036-013-0489-0","volume":"19","author":"M Chen","year":"2014","unstructured":"Chen, M., Mao, S., Liu, Y.: Big data: a survey. Mob. Netw. Appl. 19(2), 171\u2013209 (2014)","journal-title":"Mob. Netw. Appl."},{"key":"35_CR25","doi-asserted-by":"crossref","unstructured":"Cheng, G., Li, Y., Gao, Z., Liu, X.: Cloud data governance maturity model. In: 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS), pp. 517\u2013520. IEEE (2017)","DOI":"10.1109\/ICSESS.2017.8342968"},{"key":"35_CR26","doi-asserted-by":"publisher","first-page":"24634","DOI":"10.1109\/ACCESS.2019.2899751","volume":"7","author":"C Cichy","year":"2019","unstructured":"Cichy, C., Rass, S.: An overview of data quality frameworks. IEEE Access 7, 24634\u201324648 (2019)","journal-title":"IEEE Access"},{"key":"35_CR27","doi-asserted-by":"crossref","unstructured":"C\u00f4rte-Real, N., Ruivo, P., Oliveira, T.: Leveraging internet of things and big data analytics initiatives in european and american firms: Is data quality a way to extract business value? Information & Management 57(1), 103141 (2020)","DOI":"10.1016\/j.im.2019.01.003"},{"key":"35_CR28","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1007\/978-3-319-32467-8_39","volume-title":"Information Technology: New Generations","author":"W Dai","year":"2016","unstructured":"Dai, W., Wardlaw, I., Cui, Yu., Mehdi, K., Li, Y., Long, J.: Data profiling technology of data governance regarding big data: review and rethinking. Information Technology: New Generations. AISC, vol. 448, pp. 439\u2013450. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-32467-8_39"},{"key":"35_CR29","doi-asserted-by":"crossref","unstructured":"De Donato, R., Ferretti, G., Marciano, A., Palmieri, G., Pirozzi, D., Scarano, V., Vicidomini, L.: Agile production of high quality open data. In: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, pp. 1\u201310 (2018)","DOI":"10.1145\/3209281.3209352"},{"key":"35_CR30","unstructured":"Dewi, M.U., Mekaniwati, A., Nurendah, Y., Cakranegara, P., Arief, A.S.: Globalization challenges of micro small and medium enterprises. Eur. J. Mol. Clin. Med. 7(11), 1909\u20131915 (2020)"},{"key":"35_CR31","doi-asserted-by":"crossref","unstructured":"Dharmapal, S.R., Sikamani, K.T.: Big data analytics using agile model. In: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), pp. 1088\u20131091. IEEE (2016)","DOI":"10.1109\/ICEEOT.2016.7754854"},{"key":"35_CR32","unstructured":"Dinter, B., Gluchowski, P., Schieder, C.: A stakeholder lens on metadata management in business intelligence and big data-results of an empirical investigation (2015)"},{"key":"35_CR33","doi-asserted-by":"crossref","unstructured":"El Alaoui, I., Gahi, Y., Messoussi, R.: Big data quality metrics for sentiment analysis approaches. In: Proceedings of the 2019 International Conference on Big Data Engineering, pp. 36\u201343 (2019)","DOI":"10.1145\/3341620.3341629"},{"key":"35_CR34","doi-asserted-by":"crossref","unstructured":"El Bekri, N., Peinsipp-Byma, E.: Assuring data quality by placing the user in the loop. In: 2016 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 468\u2013471. IEEE (2016)","DOI":"10.1109\/CSCI.2016.0095"},{"issue":"5","key":"35_CR35","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1080\/02564602.2016.1215269","volume":"34","author":"W Fang","year":"2017","unstructured":"Fang, W., Wen, X.Z., Zheng, Y., Zhou, M.: A survey of big data security and privacy preserving. IETE Tech. Rev. 34(5), 544\u2013560 (2017)","journal-title":"IETE Tech. Rev."},{"key":"35_CR36","unstructured":"Framework, D.N.B.D.I.: Draft nist big data interoperability framework: Volume 6, reference architecture. NIST Special Publication 1500, 6 (2015)"},{"key":"35_CR37","doi-asserted-by":"crossref","unstructured":"Frankov\u00e1, P., Drahosov\u00e1, M., Balco, P.: Agile project management approach and its use in big data management. In: ANT\/SEIT, pp. 576\u2013583 (2016)","DOI":"10.1016\/j.procs.2016.04.272"},{"key":"35_CR38","doi-asserted-by":"crossref","unstructured":"Gao, J., Xie, C., Tao, C.: Big data validation and quality assurance-issuses, challenges, and needs. In: 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), pp. 433\u2013441. IEEE (2016)","DOI":"10.1109\/SOSE.2016.63"},{"key":"35_CR39","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.dss.2017.06.004","volume":"101","author":"M Ghasemaghaei","year":"2017","unstructured":"Ghasemaghaei, M., Hassanein, K., Turel, O.: Increasing firm agility through the use of data analytics: the role of fit. Decis. Support Syst. 101, 95\u2013105 (2017)","journal-title":"Decis. Support Syst."},{"issue":"2","key":"35_CR40","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s10796-016-9672-8","volume":"20","author":"AQ Gill","year":"2018","unstructured":"Gill, A.Q., Henderson-Sellers, B., Niazi, M.: Scaling for agility: a reference model for hybrid traditional-agile software development methodologies. Inf. Syst. Front. 20(2), 315\u2013341 (2018)","journal-title":"Inf. Syst. Front."},{"key":"35_CR41","unstructured":"Gluchowski, P., Gabriel, R., Dittmar, C.: Management support systeme und business intelligence: Computergest\u00fctzte Informationssysteme f\u00fcr Fach-und F\u00fchrungskr\u00e4fte. Springer-Verlag (2007)"},{"key":"35_CR42","doi-asserted-by":"crossref","unstructured":"Grady, N.W., Payne, J.A., Parker, H.: Agile big data analytics: analyticsops for data science. In: 2017 IEEE International Conference on Big Data (Big Data), pp. 2331\u20132339. IEEE (2017)","DOI":"10.1109\/BigData.2017.8258187"},{"key":"35_CR43","first-page":"33","volume":"2016","author":"VN Gudivada","year":"2016","unstructured":"Gudivada, V.N., Rao, D., Grosky, W.I.: Data quality centric application framework for big data. ALLDATA 2016, 33 (2016)","journal-title":"ALLDATA"},{"key":"35_CR44","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1016\/j.promfg.2019.02.114","volume":"29","author":"LC G\u00fcnther","year":"2019","unstructured":"G\u00fcnther, L.C., Colangelo, E., Wiendahl, H.H., Bauer, C.: Data quality assessment for improved decision-making: a methodology for small and medium-sized enterprises. Procedia Manuf. 29, 583\u2013591 (2019)","journal-title":"Procedia Manuf."},{"issue":"3","key":"35_CR45","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1080\/00207543.2019.1598599","volume":"58","author":"S Gupta","year":"2020","unstructured":"Gupta, S., Modgil, S., Gunasekaran, A.: Big data in lean six sigma: a review and further research directions. Int. J. Prod. Res. 58(3), 947\u2013969 (2020)","journal-title":"Int. J. Prod. Res."},{"key":"35_CR46","unstructured":"Guyatt, G., Rennie, D., Meade, M., Cook, D., et al.: Users\u2019 guides to the medical literature: a manual for evidence-based clinical practice, vol. 706. AMA press Chicago (2002)"},{"key":"35_CR47","doi-asserted-by":"crossref","unstructured":"Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A., Khan, S.U.: The rise of \u201cbig data\u201d on cloud computing: review and open research issues. Inf. Syst. 47, 98\u2013115 (2015)","DOI":"10.1016\/j.is.2014.07.006"},{"key":"35_CR48","doi-asserted-by":"publisher","first-page":"2028","DOI":"10.1109\/ACCESS.2015.2490723","volume":"3","author":"A Immonen","year":"2015","unstructured":"Immonen, A., P\u00e4\u00e4kk\u00f6nen, P., Ovaska, E.: Evaluating the quality of social media data in big data architecture. IEEE Access 3, 2028\u20132043 (2015)","journal-title":"IEEE Access"},{"key":"35_CR49","unstructured":"John, T., Misra, P.: Data Lake for Enterprises. Packt Publishing Ltd, Birmingham (2017)"},{"key":"35_CR50","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.jnca.2016.08.002","volume":"73","author":"A Karkouch","year":"2016","unstructured":"Karkouch, A., Mousannif, H., Al Moatassime, H., Noel, T.: Data quality in internet of things: a state-of-the-art survey. J. Netw. Comput. Appl. 73, 57\u201381 (2016)","journal-title":"J. Netw. Comput. Appl."},{"key":"35_CR51","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/978-3-319-91602-6_9","volume-title":"Agile Processes in Software Engineering and Extreme Programming","author":"T Karvonen","year":"2018","unstructured":"Karvonen, T., Sharp, H., Barroca, L.: Enterprise agility: why is transformation so hard? In: Garbajosa, J., Wang, X., Aguiar, A. (eds.) XP 2018. LNBIP, vol. 314, pp. 131\u2013145. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-91602-6_9"},{"key":"35_CR52","doi-asserted-by":"crossref","unstructured":"Kim, H.Y., Cho, J.S.: Data governance framework for big data implementation with NPS case analysis in Korea. J. Bus. Retail Manage. Res. 12(3), 36\u201346 (2018)","DOI":"10.24052\/JBRMR\/V12IS03\/ART-04"},{"key":"35_CR53","unstructured":"Kitchenham, B., Charters, S.: Guidelines for performing systematic literature reviews in software engineering (2007)"},{"issue":"2","key":"35_CR54","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1080\/07421222.2018.1451957","volume":"35","author":"B Kitchens","year":"2018","unstructured":"Kitchens, B., Dobolyi, D., Li, J., Abbasi, A.: Advanced customer analytics: strategic value through integration of relationship-oriented big data. J. Manag. Inf. Syst. 35(2), 540\u2013574 (2018)","journal-title":"J. Manag. Inf. Syst."},{"key":"35_CR55","doi-asserted-by":"crossref","unstructured":"Kl\u00e4s, M., Putz, W., Lutz, T.: Quality evaluation for big data: a scalable assessment approach and first evaluation results. In: 2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA), pp. 115\u2013124. IEEE (2016)","DOI":"10.1109\/IWSM-Mensura.2016.026"},{"key":"35_CR56","unstructured":"Kousalya, D.R., Sindhupriya, T.: Review on big data analytics and Hadoop framework. Int. J. Innov. Sci. Eng. Res. (IJISER), ISSN: 2347\u20139728 (print) 4(3MAR), 101 (2017)"},{"key":"35_CR57","doi-asserted-by":"crossref","unstructured":"Krawatzeck, R., Dinter, B., Thi, D.A.P.: How to make business intelligence agile: the agile bi actions catalog. In: 2015 48th Hawaii International Conference on System Sciences, pp. 4762\u20134771. IEEE (2015)","DOI":"10.1109\/HICSS.2015.566"},{"key":"35_CR58","unstructured":"Kulkarni, A.: A study on metadata management and quality evaluation in big data management. Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET) 4(VII) (2016)"},{"issue":"5","key":"35_CR59","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1016\/j.ijinfomgt.2016.04.013","volume":"36","author":"D Larson","year":"2016","unstructured":"Larson, D., Chang, V.: A review and future direction of agile, business intelligence, analytics and data science. Int. J. Inf. Manage. 36(5), 700\u2013710 (2016)","journal-title":"Int. J. Inf. Manage."},{"issue":"6","key":"35_CR60","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1016\/j.jom.2005.01.002","volume":"23","author":"S Li","year":"2005","unstructured":"Li, S., Rao, S.S., Ragu-Nathan, T., Ragu-Nathan, B.: Development and validation of a measurement instrument for studying supply chain management practices. J. Oper. Manage. 23(6), 618\u2013641 (2005)","journal-title":"J. Oper. Manage."},{"key":"35_CR61","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/978-3-030-11235-6_20","volume-title":"Locally Relevant ICT Research","author":"T Lillie","year":"2019","unstructured":"Lillie, T., Eybers, S.: Identifying the constructs and agile capabilities of data governance and data management: a review of the literature. In: Krauss, K., Turpin, M., Naude, F. (eds.) IDIA 2018. CCIS, vol. 933, pp. 313\u2013326. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11235-6_20"},{"key":"35_CR62","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1016\/j.procs.2018.10.071","volume":"138","author":"MR Llave","year":"2018","unstructured":"Llave, M.R.: Data lakes in business intelligence: reporting from the trenches. Procedia computer science 138, 516\u2013524 (2018)","journal-title":"Procedia computer science"},{"key":"35_CR63","unstructured":"Luna, A.J.D.O., Kruchten, P., de Moura, H.P.: Agile governance theory: conceptual development. arXiv preprint arXiv:1505.06701 (2015)"},{"key":"35_CR64","unstructured":"Luna, A.J.D.O., Kruchten, P., Pedrosa, M.L.D.E., Neto, H.R., de Moura, H.P.: State of the art of agile governance: a systematic review. arXiv preprint arXiv:1411.1922 (2014)"},{"key":"35_CR65","doi-asserted-by":"publisher","unstructured":"Mack, O., Khare, A., Kr\u00e4mer, A., Burgartz, T.: Managing in a VUCA World. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-319-16889-0","DOI":"10.1007\/978-3-319-16889-0"},{"key":"35_CR66","doi-asserted-by":"crossref","unstructured":"Martini, A., Pareto, L., Bosch, J.: Enablers and inhibitors for speed with reuse. In: Proceedings of the 16th International Software Product Line Conference, vol. 1, pp. 116\u2013125 (2012)","DOI":"10.1145\/2362536.2362554"},{"key":"35_CR67","doi-asserted-by":"crossref","unstructured":"Mathis, C.: Data lakes. Datenbank-Spektrum 17(3), 289\u2013293 (2017)","DOI":"10.1007\/s13222-017-0272-7"},{"issue":"2004","key":"35_CR68","first-page":"159","volume":"1","author":"P Mayring","year":"2004","unstructured":"Mayring, P.: Qualitative content analysis. A Companion Qual. Res. 1(2004), 159\u2013176 (2004)","journal-title":"A Companion Qual. Res."},{"key":"35_CR69","doi-asserted-by":"crossref","unstructured":"de Medeiros, M.M., Hoppen, N., Ma\u00e7ada, A.C.G.: Data science for business: benefits, challenges and opportunities. The Bottom Line (2020)","DOI":"10.1108\/BL-12-2019-0132"},{"key":"35_CR70","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.future.2015.11.024","volume":"63","author":"J Merino","year":"2016","unstructured":"Merino, J., Caballero, I., Rivas, B., Serrano, M., Piattini, M.: A data quality in use model for big data. Futur. Gener. Comput. Syst. 63, 123\u2013130 (2016)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"300\u2013305","key":"35_CR71","first-page":"63","volume":"88","author":"N Miloslavskaya","year":"2016","unstructured":"Miloslavskaya, N., Tolstoy, A.: Big data, fast data and data lake concepts. Procedia Comput. Sci. 88(300\u2013305), 63 (2016)","journal-title":"Procedia Comput. Sci."},{"key":"35_CR72","doi-asserted-by":"crossref","unstructured":"Morabito, V.: Big data and analytics. Strategic and organisational impacts (2015)","DOI":"10.1007\/978-3-319-10665-6"},{"key":"35_CR73","doi-asserted-by":"crossref","unstructured":"Motwani, J.: A business process change framework for examining lean manufacturing: a case study. Ind. Manage. Data Syst. 94, 17\u201321 (2003)","DOI":"10.1108\/02635570310477398"},{"key":"35_CR74","doi-asserted-by":"crossref","unstructured":"M\u00fcnzberg, A., Sauer, J., Hein, A., R\u00f6sch, N.: The use of ETL and data profiling to integrate data and improve quality in food databases. In: 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 231\u2013238. IEEE (2018)","DOI":"10.1109\/WiMOB.2018.8589081"},{"issue":"5","key":"35_CR75","doi-asserted-by":"publisher","first-page":"296","DOI":"10.5539\/ijbm.v11n5p296","volume":"11","author":"WA Nafei","year":"2016","unstructured":"Nafei, W.A.: Organizational agility: the key to organizational success. Int. J. Bus. Manage. 11(5), 296\u2013309 (2016)","journal-title":"Int. J. Bus. Manage."},{"issue":"3","key":"35_CR76","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1080\/10580530.2015.1044344","volume":"32","author":"B Otto","year":"2015","unstructured":"Otto, B.: Quality and value of the data resource in large enterprises. Inf. Syst. Manag. 32(3), 234\u2013251 (2015)","journal-title":"Inf. Syst. Manag."},{"key":"35_CR77","doi-asserted-by":"crossref","unstructured":"Otto, B., \u00d6sterle, H.: Corporate Data Quality: Prerequisite for Successful Business Models. epubli (2015)","DOI":"10.1007\/978-3-662-46806-7"},{"issue":"2","key":"35_CR78","first-page":"373","volume":"5","author":"SH Pawar","year":"2017","unstructured":"Pawar, S.H., Thakore, D.: An assessment model to evaluate quality attributes in big data quality. Int. J. Comput. Sci. Trends Technol. 5(2), 373\u2013376 (2017)","journal-title":"Int. J. Comput. Sci. Trends Technol."},{"issue":"4","key":"35_CR79","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1201\/1078\/44705.21.4.20040901\/84185.4","volume":"21","author":"KG Rau","year":"2004","unstructured":"Rau, K.G.: Effective governance of it: design objectives, roles, and relationships. Inf. Syst. Manag. 21(4), 35\u201342 (2004)","journal-title":"Inf. Syst. Manag."},{"issue":"1","key":"35_CR80","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.jsis.2017.07.002","volume":"27","author":"T Ravichandran","year":"2018","unstructured":"Ravichandran, T.: Exploring the relationships between it competence, innovation capacity and organizational agility. J. Strateg. Inf. Syst. 27(1), 22\u201342 (2018)","journal-title":"J. Strateg. Inf. Syst."},{"issue":"17","key":"35_CR81","doi-asserted-by":"publisher","first-page":"5011","DOI":"10.1080\/00207543.2016.1154209","volume":"55","author":"S Ji-fan Ren","year":"2017","unstructured":"Ji-fan Ren, S., Fosso Wamba, S., Akter, S., Dubey, R., Childe, S.J.: Modelling quality dynamics, business value and firm performance in a big data analytics environment. Int. J. Prod. Res. 55(17), 5011\u20135026 (2017)","journal-title":"Int. J. Prod. Res."},{"key":"35_CR82","doi-asserted-by":"crossref","unstructured":"Rick, U., Vossen, R., Richert, A., Henning, K.: Designing agile processes in information management. In: 2010 2nd IEEE International Conference on Information Management and Engineering, pp. 156\u2013160. IEEE (2010)","DOI":"10.1109\/ICIME.2010.5477776"},{"issue":"6","key":"35_CR83","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1145\/1953122.1953141","volume":"54","author":"M Rys","year":"2011","unstructured":"Rys, M.: Scalable SQL. Commun. ACM 54(6), 48\u201353 (2011)","journal-title":"Commun. ACM"},{"issue":"2","key":"35_CR84","first-page":"24","volume":"40","author":"H Sanaa","year":"2016","unstructured":"Sanaa, H., Afifi, W.A., Darwish, N.R.: The goal questions metrics for agile business intelligence. Egyptian Comput. Sci. J. 40(2), 24\u201342 (2016)","journal-title":"Egyptian Comput. Sci. J."},{"key":"35_CR85","first-page":"1","volume":"2","author":"M Scannapieco","year":"2002","unstructured":"Scannapieco, M., Catarci, T.: Data quality under a computer science perspective. Archivi Comput. 2, 1\u201315 (2002)","journal-title":"Archivi Comput."},{"key":"35_CR86","doi-asserted-by":"crossref","unstructured":"Serhani, M.A., El Kassabi, H.T., Taleb, I., Nujum, A.: An hybrid approach to quality evaluation across big data value chain. In: 2016 IEEE International Congress on Big Data (BigData Congress), pp. 418\u2013425. IEEE (2016)","DOI":"10.1109\/BigDataCongress.2016.65"},{"issue":"2","key":"35_CR87","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2996198","volume":"8","author":"G Shankaranarayanan","year":"2017","unstructured":"Shankaranarayanan, G., Blake, R.: From content to context: the evolution and growth of data quality research. J. Data Inf. Qual. (JDIQ) 8(2), 1\u201328 (2017)","journal-title":"J. Data Inf. Qual. (JDIQ)"},{"key":"35_CR88","unstructured":"for Standardization, I.O.: ISO 8000\u201361: Data quality management: Process reference model. ISO (2016)"},{"key":"35_CR89","unstructured":"For Standardization, I.O., Commission, I.E.: Information Technology-Security Techniques-Code of Practice for Information Security Management: ISO\/IEC 27002. ISO\/IEC (2005)"},{"key":"35_CR90","doi-asserted-by":"crossref","unstructured":"Taleb, I., Dssouli, R., Serhani, M.A.: Big data pre-processing: a quality framework. In: 2015 IEEE International Congress on Big Data, pp. 191\u2013198. IEEE (2015)","DOI":"10.1109\/BigDataCongress.2015.35"},{"key":"35_CR91","doi-asserted-by":"crossref","unstructured":"Taleb, I., Serhani, M.A.: Big data pre-processing: Closing the data quality enforcement loop. In: 2017 IEEE International Congress on Big Data (BigData Congress), pp. 498\u2013501. IEEE (2017)","DOI":"10.1109\/BigDataCongress.2017.73"},{"key":"35_CR92","unstructured":"Tantsyura, V., et al.: Impact on data management of the new definitions of data quality (DQ), risk-based approaches to quality and esource methodologies (2016)"},{"issue":"4","key":"35_CR93","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1525\/cmr.2016.58.4.13","volume":"58","author":"D Teece","year":"2016","unstructured":"Teece, D., Peteraf, M., Leih, S.: Dynamic capabilities and organizational agility: risk, uncertainty, and strategy in the innovation economy. Calif. Manage. Rev. 58(4), 13\u201335 (2016)","journal-title":"Calif. Manage. Rev."},{"key":"35_CR94","unstructured":"Terrizzano, I.G., Schwarz, P.M., Roth, M., Colino, J.E.: Data wrangling: The challenging yourney from the wild to the lake. In: CIDR (2015)"},{"issue":"15","key":"35_CR95","doi-asserted-by":"publisher","first-page":"3969","DOI":"10.1002\/cpe.3729","volume":"28","author":"V Theodorou","year":"2016","unstructured":"Theodorou, V., Abell\u00f3, A., Lehner, W., Thiele, M.: Quality measures for ETL processes: from goals to implementation. Concurrency Comput. Pract. Experience 28(15), 3969\u20133993 (2016)","journal-title":"Concurrency Comput. Pract. Experience"},{"key":"35_CR96","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.sbspro.2015.10.092","volume":"207","author":"A U\u00e7akt\u00fcrk","year":"2015","unstructured":"U\u00e7akt\u00fcrk, A., U\u00e7akt\u00fcrk, T., Yavuz, H.: Possibilities of usage of strategic business intelligence systems based on databases in agile manufacturing. Procedia Soc. Behav. Sci. 207, 234\u2013241 (2015)","journal-title":"Procedia Soc. Behav. Sci."},{"key":"35_CR97","unstructured":"Unhelkar, B.: Big Data Strategies for Agile Business. CRC Press, Boca Raton (2017)"},{"issue":"3","key":"35_CR98","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1007\/s10796-017-9822-7","volume":"20","author":"A Wahyudi","year":"2018","unstructured":"Wahyudi, A., Kuk, G., Janssen, M.: A process pattern model for tackling and improving big data quality. Inf. Syst. Front. 20(3), 457\u2013469 (2018)","journal-title":"Inf. Syst. Front."},{"issue":"4","key":"35_CR99","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1080\/07421222.1996.11518099","volume":"12","author":"RY Wang","year":"1996","unstructured":"Wang, R.Y., Strong, D.M.: Beyond accuracy: what data quality means to data consumers. J. Manag. Inf. Syst. 12(4), 5\u201333 (1996)","journal-title":"J. Manag. Inf. Syst."},{"key":"35_CR100","unstructured":"Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Q. 26(2), xiii\u2013xxiii (2002)"},{"key":"35_CR101","unstructured":"Wixom, B.H., Yen, B., Relich, M.: Maximizing value from business analytics. MIS Q. Executive 12(2), 111\u2013123 (2013)"},{"key":"35_CR102","unstructured":"Wolf, H., Bleek, W.G.: Agile softwareentwicklung: Werte, konzepte und methoden. dpunkt. verlag (2011)"},{"key":"35_CR103","volume-title":"Data Quality Metric for Information Processes","author":"V W\u00fcrthele","year":"2003","unstructured":"W\u00fcrthele, V.: Data Quality Metric for Information Processes. ETH Zurich, Zurich (2003)"},{"key":"35_CR104","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cie.2017.08.008","volume":"112","author":"H Yu","year":"2017","unstructured":"Yu, H., Zhang, M.: Data pricing strategy based on data quality. Comput. Ind. Eng. 112, 1\u201310 (2017)","journal-title":"Comput. Ind. Eng."},{"key":"35_CR105","doi-asserted-by":"crossref","unstructured":"Zhang, P., Zhou, X., Li, W., Gao, J.: A survey on quality assurance techniques for big data applications. In: 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService), pp. 313\u2013319. IEEE (2017)","DOI":"10.1109\/BigDataService.2017.42"},{"issue":"9","key":"35_CR106","doi-asserted-by":"publisher","first-page":"1568","DOI":"10.14778\/3397230.3397249","volume":"13","author":"Q Zhang","year":"2020","unstructured":"Zhang, Q., et al.: Understanding the effect of data center resource disaggregation on production DBMSs. Proc. VLDB Endowment 13(9), 1568\u20131581 (2020)","journal-title":"Proc. VLDB Endowment"}],"container-title":["Communications in Computer and Information Science","Knowledge Management in Organizations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-81635-3_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T23:17:50Z","timestamp":1626477470000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-81635-3_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030816346","9783030816353"],"references-count":106,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-81635-3_35","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"17 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KMO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Management in Organizations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaohsiung","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"kmo2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.kmo2020.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"86","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"9","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}