International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

Current Issues
     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Using Tableau and Excel for Comprehensive Profitability Analysis in Retail Procurement Operations

Author(s):

Published:

Volume: 1 | Issue: 5 | Pages: 385-393

Subject: Management

Country: Nigeria

DOI: https://doi.org/10.54660/IJMRGE.2020.1.5.385-393

License: CC BY 4.0

Full Text (PDF)

Open Access - Free to Download

Download Full Article (PDF)

Alternative download link

Abstract

Profitability analysis is a critical dimension of retail procurement operations, where organizations must continuously evaluate costs, revenues, and supplier performance to maintain competitiveness and long-term sustainability. The complexity of modern retail supply chains, characterized by large transaction volumes, diverse product assortments, and intricate vendor relationships, necessitates advanced analytical tools to extract actionable insights from vast datasets. Among the most widely adopted tools for such purposes are Tableau, a powerful data visualization and business intelligence platform, and Microsoft Excel, a versatile and accessible spreadsheet application. Although both tools differ in sophistication, scope, and intended functionality, they complement one another in enabling comprehensive profitability analysis. Tableau provides advanced visualization, dashboarding, and integration capabilities, allowing managers to explore multidimensional data interactively, while Excel offers detailed modeling, flexible computation, and scenario analysis functionalities that support granular decision-making. This paper presents a structured literature-based review of the application of Tableau and Excel for profitability analysis in retail procurement operations, with a focus on developments up to 2020. It examines their roles in cost analysis, supplier performance assessment, inventory optimization, and strategic procurement decisions. The discussion highlights the strengths and limitations of each tool, the synergies from their combined use, and the implications for retail procurement management in an increasingly data-driven environment. By consolidating insights from prior research, this study provides an integrative perspective on how Tableau and Excel support profitability analysis, offering valuable guidance to both academics and practitioners seeking to enhance retail procurement effectiveness through business intelligence and analytics.

How to Cite This Article

Olatunde Taiwo Akin-Oluyomi, Michael Efetobore Atima, Oluwafunmilayo Kehinde Akinleye, David Adedayo Akokodaripon (2020). Using Tableau and Excel for Comprehensive Profitability Analysis in Retail Procurement Operations . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 1(5), 385-393. DOI: https://doi.org/10.54660/IJMRGE.2020.1.5.385-393

Export Citation:

BibTeX RIS EndNote

References

  1. 1. Ferreira KJ, Lee BHA, Simchi-Levi D. Analyticsforanonlineretailer: demandforecastingandpriceoptimization. Manuf Serv Oper Manag.2016;18(1\:69-88. doi:10.1287/msom.2015.0561.
  2. 2. Aviv Y. Onthebenefitsofcollaborativeforecastingpartnershipsbetweenretailersandmanufacturers. Manage Sci.2007;53(5\:777-94. doi:10.1287/mnsc.1060.
  3. 654. International Journalof Multidisciplinary Researchand Growth Evaluationwww. allmultidisciplinaryjournal. com
  4. 3903. Olivares M, Cachon GP. Competingretailersanddealershipsinisolated U. S. markets. Manage Sci.2009;55(9\:1586-604. doi:10.1287/mnsc.1090.1050.
  5. 4. Mathu K, Phetla S. Supplychaincollaborationandintegrationenhancetheresponseoffast-movingconsumergoodsmanufacturersandretailerstoanag.2018;49(1\: a192. doi:10.4102/sajbm. v49i1.192.
  6. 5. Kamble SS, Gunasekaran A, Parekh H, Joshi S. Modelingtheinternetofthingsadoptionbarriersinfoodretailsupplychains. JRetail Consum Serv.2019;48:154-68. doi:10.1016/j. jretconser.2019.02.020.
  7. 6. Iliashenko O, Iliashenko V, Esser M. BIsystemsimplementationforsupplychainsectorinretailcompanies. In: Proceedingsofthe2019 International Conferenceon Digital Transformationand Learning Innovation(ICDTLI-19\;2019 Oct. doi:10.2991/icdtli-19.2019.53.
  8. 7. Ilufoye H, Akinrinoye OV, Okolo CH. Aconceptualmodelforsustainableprofitandlossmanagementinlarge-scaleonlineretail. Int JMultidiscip Res Growth Eval.2020;1(3\:107-13.
  9. 8. Chen H, Chiang RHL, Storey VC. Businessintelligenceandanalytics: frombigdatatobigimpact. MISQ.2012;36(4\:1165-88. doi:10.2307/41703503.
  10. 9. Nwani S, Abiola-Adams O, Otokiti BO, Ogeawuchi JC. Buildingoperationalreadinessassessmentmodelsformicro, small, andmediumenterprisesseekinggovernment-backedfinancing. JFront Multidiscip Res.2020;1(1\:38-43.
  11. 10. Omisola JO, Shiyanbola JO, Osho GO. Apredictivequalityassurancemodelusing Lean Six Sigma: integrating FMEA, SPC, androotcauseanalysisforzero-defectproductionsystems.2020.
  12. 11. Afolabi M, Onukogu OA, Igunma TO, Adeleke AK. Advancesinprocesssafetyandhazardmitigationinchlorinationanddisinfectionunitsofwatertreatmentplants.2020.
  13. 12. Ilufoye H, Akinrinoye OV, Okolo CH. Ascalableinfrastructuremodelfordigitalcorporatesocialresponsibilityinunderservedschoolsystems. Int JMultidiscip Res Growth Eval.2020;1(3\:100-6.
  14. 13. Osho GO. Decentralizedautonomousorganizations(DAOs\: aconceptualmodelforcommunity-ownedbankingandfinancialgovernance.2020.
  15. 14. Omisola JO, Shiyanbola JO, Osho GO. Apredictivequalityassurancemodelusing Lean Six Sigma: integrating FMEA, SPC, androotcauseanalysisforzero-defectproductionsystems.2020.
  16. 15. Developingintegratedperformancedashboardsvisualisationsusing Power BIasaplatform. Informatics.2023;14(11\:
  17. 614. Availablefrom: https://www. mdpi. com/2078-2489/14/11/614.
  18. 16. Becker LT, Gould EM. Microsoft Power BI: extending Exceltomanipulate, analyze, andvisualizediversedata. Ser Rev.2019;45(3\:184-8. doi:10.1080/00987913.2019.1644891.
  19. 17. Batt S, Grealis T, Harmon O, Tomolonis P. Learning Tableau: adatavisualizationtool. JEcon Educ.2020;51(3-4\:317-28. doi:10.1080/00220485.2020.1804503.
  20. 18. Clarke J. Revitalizingentrepreneurship: howvisualsymbolsareusedinentrepreneurialperformances. JManag Stud.2011;48(6\:1365-91. doi:10.1111/j.1467-6486.2010.01002. x.
  21. 19. Ashiedu BI, Ogbuefi E, Nwabekee US, Ogeawuchi JC, Abayomi AA. Developingfinancialduediligenceframeworksformergersandacquisitionsinemergingtelecommarkets. Iconic Res Eng Journals.2020;4(1\:183-
  22. 96. Availablefrom: https://www. irejournals. com/paper-details/1708562.
  23. 20. Holmlund M, Van Vaerenbergh Y, Ciuchta M, Ravald A, Sarantopoulos P, Ordenes FV, etal. Customerexperiencemanagementintheageofbigdataanalytics: astrategicframework. JBus Res.2020;116:356-65. doi:10.1016/j. jbusres.2020.01.022.
  24. 21. Woods N, Babatunde G. Arobustensemblemodelforspokenlanguagerecognition. Appl Comput Sci.2020;16(3\:56-68. doi:10.23743/acs-2020-21.
  25. 22. Seyedan M, Mafakheri F. Predictivebigdataanalyticsforsupplychaindemandforecasting: methods, applications, andresearchopportunities. JBig Data.2020;7(1\:1-22. doi:10.1186/s40537-020-00329-2.
  26. 23. Hashempour N, Taherkhani R, Mahdikhani M. Energyperformanceoptimizationofexistingbuildings: aliteraturereview. Sustain Cities Soc.2020;54:101967. doi:10.1016/j. scs.2019.101967.
  27. 24. Afolabi M, Onukogu OA, Igunma TO, Adeleke AK. Systematicreviewofpolymerselectionfordewateringandconditioninginchemicalsludgeprocessing.2020.
  28. 25. Ilufoye H, Akinrinoye OV, Okolo CH. Astrategicproductinnovationmodelforlaunchingdigitallendingsolutionsinfinancialtechnology. Int JMultidiscip Res Growth Eval.2020;1(3\:93-9.
  29. 26. Afolabi M, Onukogu OA, Igunma TO, Nwokediegwu ZQS. Systematicreviewofcoagulation-flocculationkineticsandoptimizationinmunicipalwaterpurificationunits. IREJ.2020;6(10\:1-12.
  30. 27. Inoue H, Todo Y. Firm-levelpropagationofshocksthroughsupply-chainnetworks. Nat Sustain.2019;2(9\:841-7. doi:10.1038/s41893-019-0351-x.
  31. 28. He Y, Zhao X. Coordinationinmulti-echelonsupplychainundersupplyanddemanduncertainty. Int JProd Econ.2012;139(1\:106-15. doi:10.1016/j. ijpe.2011.04.021.
  32. 29. Sarkis J. Environmentalsupplychainmanagement. In:21stcenturymanagement: areferencehandbook. Thousand Oaks(CA\: SAGEPublications;2012. p. I-281-I-293. doi:10.4135/9781412954006. n28.
  33. 30. Rodrigue JP, Slack B, Comtois C. Greensupplychainmanagement. In: The SAGEhandbookoftransportstudies. London: SAGEPublications;2013. p.427-38. doi:10.4135/9781446247655. n25.
  34. 31. Kuei CH, Madu CN, Lin C. Implementingsupplychainqualitymanagement. Total Qual Manag Bus Excell.2008;19(11\:1127-41. doi:10.1080/14783360802323511.
  35. 32. Yadav P, Lydon P, Oswald J, Dicko M, Zaffran M. Integrationofvaccinesupplychainswithotherhealthcommoditysupplychains: aframeworkfordecisionmaking. Vaccine.2014;32(50\:6725-32. doi:10.1016/j. vaccine.2014.10.001.
  36. 33. Jira C, Toffel MW. Engagingsupplychainsinclimatechange. Manuf Serv Oper Manag.2013;15(4\:559-77. doi:10.1287/msom.1120.0420.
  37. 34. Hartmann PM, Zaki M, Feldmann N, Neely A. Capturingvaluefrombigdataataxonomyofdata-drivenbusiness International Journalof Multidisciplinary Researchand Growth Evaluationwww. allmultidisciplinaryjournal. com391modelsusedbystart-upfirms. Int JOper Prod Manag.2016;36(10\:1382-406. doi:10.1108/ijopm-02-2014-0098.
  38. 35. Bar-Sinai M, Sweeney L, Crosas M. Data Tags, datahandlingpolicyspacesandthe Tagslanguage. In:2016IEEESymposiumon Securityand Privacy Workshops(SPW\;2016 Aug. p.1-8. doi:10.1109/SPW.2016.11.36. proceduralprivacyprotections. Commun ACM.2014;57(11\:31-3. doi:10.1145/2668897.
  39. 37. Rossi A, Lenzini G. Transparencybydesignindata-informedresearch: acollectionofinformationdesignpatterns. Comput Law Secur Rev.2020;37:105402. doi:10.1016/j. clsr.2020.105402.
  40. 38. Omisola JO, Etukudoh EA, Okenwa OK, Tokunbo GI. Innovatingprojectdeliveryandpipingdesignforsustainabilityintheoilandgasindustry: aconceptualframework. Perception.2020;24:28-35.
  41. 39. Osho GO. Buildingscalableblockchainapplications: aframeworkforleveraging Solidityand AWSLambdainreal-worldassettokenization.2020.
  42. 40. Osho GO, Omisola JO, Shiyanbola JO. Anintegrated AI-Power BImodelforreal-timesupplychainvisibilityandforecasting: adata-intelligenceapproachtooperationalexcellence.2020.
  43. 41. Mgbame AC, Akpe OE, Abayomi AA, Ogbuefi E, Adeyelu OO. Barriersandenablersof BItoolimplementationinunderserved SMEcommunities. Iconic Res Eng Journals.2020;3(7\:211-
  44. 26. Availablefrom: https://www. irejournals. com/paper-details/1708221.
  45. 42. Akpe OE, Ogeawuchi JC, Abayomi AA, Agboola OA, Ogbuefi E. Aconceptualframeworkforstrategicbusinessplanningindigitallytransformedorganizations. Iconic Res Eng Journals.2020;4(4\:207-
  46. 22. Availablefrom: https://www. irejournals. com/paper-details/1708525.
  47. 43. Gbenle TP, Ogeawuchi JC, Abayomi AA, Agboola OA, Uzoka AC. Advancesincloudinfrastructuredeploymentusing AWSservicesforsmallandmediumenterprises. Iconic Res Eng Journals.2020;3(11\:365-
  48. 81. Availablefrom: https://www. irejournals. com/paper-details/1708522.
  49. 44. Akpe OE, Ogeawuchi JC, Abayomi AA, Agboola OA, Ogbuefi E. Aconceptualframeworkforstrategicbusinessplanningindigitallytransformedorganizations. Iconic Res Eng Journals.2020;4(4\:207-
  50. 22. Availablefrom: https://www. irejournals. com/paper-details/1708525.
  51. 45. Gbenle TP, Ogeawuchi JC, Abayomi AA, Agboola OA, Uzoka AC. Advancesincloudinfrastructuredeploymentusing AWSservicesforsmallandmediumenterprises. Iconic Res Eng Journals.2020;3(11\:365-
  52. 81. Availablefrom: https://www. irejournals. com/paper-details/1708522.
  53. 46. Andersen TJ. Managingindynamic, complexandunpredictablebusinesscontexts. In: Adaptingtoenvironmentalchallenges: newresearchinstrategyandinternationalbusiness. Bingley: Emerald Publishing;2020. p.1-17. doi:10.1108/978-1-83982-476-020200001.
  54. 47. Willetts M, Atkins AS, Stanier C. Barriersto SMEsadoptionofbigdataanalyticsforcompetitiveadvantage. In:20204th International Conferenceon Intelligent Computingin Data Sciences(ICDS\;2020 Oct. doi:10.1109/ICDS50568.2020.9268687.
  55. 48. Iyiola Oladehinde O. Digitaltwinand BIMsynergyforpredictivemaintenanceinsmartbuildingengineeringsystemsdevelopment. World JAdv Res Rev.2020;8(2\:406-21. doi:10.30574/wjarr.2020.8.2.0409.
  56. 49. Hou J, Wang C, Luo S. Howtoimprovethecompetivenessofdistributedenergyresourcesin Chinawithblockchaintechnology. Technol Forecast Soc Change.2020;151:119744. doi:10.1016/j. techfore.2019.119744.
  57. 50. Tungande F, Meyer A, Niemann W. Opportunitiesandchallengesofsocialmediainsupplychainmanagement: astudyinthe South African FMCGretailindustry. Acta Commercii.2020;20(1\: a864. doi:10.4102/ac. v20i1.864.
  58. 51. Li L, Liu F, Li C. Customersatisfactionevaluationmethodforcustomizedproductdevelopmentusing Entropyweightand Analytic Hierarchy Process. Comput Ind Eng.2014;77:80-7. doi:10.1016/j. cie.2014.09.009.
  59. 52. Zhao R, Liu Y, Zhang N, Huang T. Anoptimizationmodelforgreensupplychainmanagementbyusingabigdataanalyticapproach. JClean Prod.2017;142:1085-97. doi:10.1016/j. jclepro.2016.03.006.
  60. 53. Chackelson C, Errasti A, Cipr?s D, Lahoz F. Evaluatingorderpickingperformancetrade-offsbyconfiguringmainoperatingstrategiesinaretaildistributor: adesignofexperimentsapproach. Int JProd Res.2013;51(20\:6097-109. doi:10.1080/00207543.2013.796421.
  61. 54. Sodhi MS, Tang CS. Determiningsupplyrequirementinthesales-and-operations-planning(S&OP\processunderdemanduncertainty: astochasticprogrammingformulationandaspreadsheetimplementation. JOper Res Soc.2011;62(3\:526-36. doi:10.1057/jors.2010.93.
  62. 55. Meehan J, Bryde D. Sustainableprocurementpractice. Bus Strategy Environ.2011;20(2\:94-106. doi:10.1002/bse.678.
  63. 56. World Health Organization. Harmonizedmonitoringandevaluationindicatorsforprocurementandsupplymanagementsystems. Geneva: WHO;2011.
  64. 57. Blome C, Hollos D, Paulraj A. Greenprocurementandgreensupplierdevelopment: antecedentsandeffectsonsupplierperformance. Int JProd Res.2014;52(1\:32-49. doi:10.1080/00207543.2013.825748.
  65. 58. Oruezabala G, Rico JC. Theimpactofsustainablepublicprocurementonsuppliermanagementthecaseof Frenchpublichospitals. Ind Mark Manag.2012;41(4\:573-80. doi:10.1016/j. indmarman.2012.04.004.
  66. 59. Ahsan K, Rahman S. Greenpublicprocurementimplementationchallengesin Australianpublichealthcaresector. JClean Prod.2017;152:181-97. doi:10.1016/j. jclepro.2017.03.055.
  67. 60. Garrido-Labrador JL, Puente-Gabarri D, Ram?rez-Sanz JM, Ayala-Dulanto D, Maudes J. Usingensemblesforaccuratemodellingofmanufacturingprocessesinan Io Tdata-acquisitionsolution. Appl Sci(Switzerland\.2020;10(13\:4606. doi:10.3390/app10134606.
  68. 61. Borade AB, Kannan G, Bansod SV. Analyticalhierarchyprocess-basedframeworkfor VMIadoption. Int JProd Res.2013;51(4\:963-78. doi:10.1080/00207543.2011.650795.
  69. 62. Waller MA, Fawcett SE. Datascience, predictive International Journalof Multidisciplinary Researchand Growth Evaluationwww. allmultidisciplinaryjournal. com392analytics, andbigdata: arevolutionthatwilltransformsupplychaindesignandmanagement. JBus Logist.2013;34(2\:77-84. doi:10.1111/jbl.12010.
  70. 63. Alvez C, Miranda E, Etchart G, Ruiz S. Efficientirisrecognitionmanagementinobject-relateddatabases. JComput Sci Technol.2018;18(2\: e12. doi:10.24215/16666038.18. e12.
  71. 64. Collins F, Glassman A, etal. Adatabaseonglobalhealthresearchin Africa. Lancet Glob Health.2013;1(2\: e64-5. doi:10.1016/s2214-109x(13\70012-3.
  72. 65. Brunton SL, Kutz JN. Data-drivenscienceandengineering: machinelearning, dynamicalsystems, andcontrol. Annu Rev Fluid Mech.2018;50:645-68.
  73. 66. Akbar R, Silvana M, Hersyah MH, Jannah M. Implementationofbusinessintelligenceforsalesdatamanagementusinginteractivedashboardvisualizationin XYZstores. In:2020 International Conferenceon Information Technology Systemsand Innovation(ICITSI\;2020 Oct. p.242-9. doi:10.1109/ICITSI50517.2020.9264984.
  74. 67. Keim DA, Hao MC, Dayal U, Janetzko H, Bak P. Generalizedscatterplots. Inf Vis.2010;9(4\:301-11. doi:10.1057/ivs.2009.34.
  75. 68. Franklin A, Gantela S, Shifa S, Johnson TR, Robinson DJ, etal. Dashboardvisualizations: supportingreal-timethroughputdecision-making. JBiomed Inform.2017;71:211-21. doi:10.1016/j. jbi.2017.05.024.
  76. 69. Caughlin DE, Bauer TN. Datavisualizationsandhumanresourcemanagement: thestateofscienceandpractice. Res Pers Hum Resour Manag.2019;37:89-132. doi:10.1108/S0742-730120190000037004.
  77. 70. Samek W, Binder A, Montavon G, Lapuschkin S, M?ller KR. Evaluatingthevisualizationofwhatadeepneuralnetworkhaslearned. IEEETrans Neural Netw Learn Syst.2017;28(11\:2660-73. doi:10.1109/TNNLS.2016.2599820.
  78. 71. Park YR, Lee Y, Lee JH, etal. Utilizationofaclinicaltrialmanagementsystemforthewholeclinicaltrialprocessasanintegrateddatabase: systemdevelopment. JMed Internet Res.2018;20(4\: e1032. doi:10.2196/jmir.9312.
  79. 72. Lee YCH, Hu X. Data-drivenapproachforproductionplanningoptimizationinsemiconductormanufacturing. Comput Ind Eng.2020;141:106328. doi:10.1016/j. cie.2019.106328.
  80. 73. Hu X, Li L. Optimizationof FMCGsupplychainbyusingdata-drivenmethods. JIntell Manuf.2019;30(1\:81-92.
  81. 74. Kiger ME, Varpio L. Thematicanalysisofqualitativedata: AMEEGuide No.
  82. 131. Med Teach.2020;42(8\:846-54. doi:10.1080/0142159X.2020.1755030.
  83. 75. Wang T, Li L. Data-drivenfastmovingconsumergoodssupplychainmodelandapplication. Int JControl Autom.2018;11(5\:125-38.
  84. 76. Ioannidis JPA. Informedconsent, bigdata, andtheoxymoronofresearchthatisnotresearch. Am JBioeth.2013;13(4\:40-2. doi:10.1080/15265161.2013.768864.
  85. 77. Martin RF, Parisi DR. Data-drivensimulationofpedestriancollisionavoidancewithanonparametricneuralnetwork. Neurocomputing.2020;379:130-40. doi:10.1016/j. neucom.2019.10.062.
  86. 78. Meng C, Nageshwaraniyer SS, Maghsoudi A, Son YJ, Dessureault S. Data-drivenmodelingandsimulationframeworkformaterialhandlingsystemsincoalmines. Comput Ind Eng.2013;64(3\:766-79. doi:10.1016/j. cie.2012.12.017.
  87. 79. Xu Z, Dang Y, Munro P, Wang Y. Adata-drivenapproachforconstructingthecomponent-failuremodematrixfor FMEA. JIntell Manuf.2020;31(1\:249-65. doi:10.1007/s10845-019-01466-z.
  88. 80. Sandefur J, Glassman A. Thepoliticaleconomyofbaddata: evidencefrom Africansurveyandadministrativestatistics. JDev Stud.2015;51(2\:116-32. doi:10.1080/00220388.2014.968138.
  89. 81. Data-drivensimulationmethodologyforexploringoptimalstoragelocationassignmentschemeinwarehouses. Comput Ind Eng.[cited2019 Jul. Availablefrom: https://www. sciencedirect. com/science/article/pii/S0360835224007496.
  90. 82. Cavalcante IM, Frazzon EM, Forcellini FA, Ivanov D. Asupervisedmachinelearningapproachtodata-drivensimulationofresilientsupplierselectionindigitalmanufacturing. Int JInf Manage.2019;49:86-97. doi:10.1016/j. ijinfomgt.2019.03.004.
  91. 83. Wang J, Das S, Rai R, Zhou C. Data-drivensimulationforfastpredictionofpull-upprocessinbottom-upstereo-lithography. CADComput Aided Des.2018;99:29-42. doi:10.1016/j. cad.2018.02.002.
  92. 84. Mackey T, Li J, Purushothaman V, etal. Bigdata, naturallanguageprocessing, anddeeplearningtodetectandcharacterizeillicit COVID-19productsales: infoveillancestudyon Twitterand Instagram. JMIRPublic Health Surveill.2020;6(3\: e20794. doi:10.2196/20794.
  93. 85. Li D, Daamen W, Goverde RMP. Estimationoftraindwelltimeatshortstopsbasedontrackoccupationeventdata: astudyata Dutchrailwaystation. JAdv Transp.2016;50(5\:877-96. doi:10.1002/atr.1380.
  94. 86. Fern?ndez-Caram?s TM, Blanco-Novoa O, Froiz-M?guez I, Fraga-Lamas P. Towardsanautonomous Industry4.0warehouse: a UAVandblockchain-basedsystemforinventoryandtraceabilityapplicationsinbigdata-drivensupplychainmanagement. Sensors(Basel\.2019;19(10\:2394. doi:10.3390/s19102394.
  95. 87. Li H, Xiong L, Zhang L, Jiang X. DPSynthesizer: differentiallyprivatedatasynthesizerforprivacypreservingdatasharing. Proc VLDBEndow.2014;7(13\:1677-80. doi:10.14778/2733004.2733059.
  96. 88. Cappiello C, Gal A, Jarke M, Rehof J. Dataecosystems: sovereigndataexchangeamongorganizations(Dagstuhl Seminar19391\. Dagstuhl Rep.2020;9(9\:66-134. doi:10.4230/Dag Rep.9.9.66.
  97. 89. Khatri V, Brown CV. Designingdatagovernance. Commun ACM.2010;53(1\:148-52. doi:10.1145/1629175.1629210.90. globalfinancialecosystems: alinkeddataapproach. Int JAccount Inf Syst.2012;13(2\:141-62. doi:10.1016/j. accinf.2012.02.002.
  98. 91. Halevy A, Norvig P, Pereira F. Theunreasonableeffectivenessofdata. IEEEIntell Syst.2009;24(2\:8-12. doi:10.1109/MIS.2009.36.
  99. 92. Donoho D.50yearsofdatascience. JComput Graph Stat.2017;26(4\:745-66. doi:10.1080/10618600.2017.1384734.
  100. 93. Assefa SA, Dervovic D, Mahfouz M, Tillman RE, Reddy International Journalof Multidisciplinary Researchand Growth Evaluationwww. allmultidisciplinaryjournal. com393P, Veloso M. Generatingsyntheticdatainfinance. In: Proceedingsofthe First ACMInternational Conferenceon AIin Finance;2020 Oct. p.1-8. doi:10.1145/3383455.3422554.
  101. 94. Fan J, Han F, Liu H. Challengesofbigdataanalysis. Natl Sci Rev.2014;1(2\:293-314. doi:10.1093/nsr/nwt032.
  102. 95. Aswani A, Shen ZJ, Siddiq A. Inverseoptimizationwithnoisydata. Oper Res.2018;66(3\:870-92. doi:10.1287/opre.2017.1705.
  103. 96. Bisson C, Warin T. Datascienceandstrategiccomplexity. In:2020IEEEInternational Conferenceon Technology Management, Operationsand Decisions(ICTMOD\;2020 Nov. doi:10.1109/ICTMOD49425.2020.9380587.
  104. 97. Edwards L. Privacy, securityanddataprotectioninsmartcities. Eur Data Prot Law Rev.2016;2(1\:28-58. doi:10.21552/EDPL/2016/1/6.
  105. 98. Boyne SM. Dataprotectioninthe United States. Am JComp Law.2018;66:299-343. doi:10.1093/ajcl/avy016.
  106. 99. Slokom M. Comparingrecommendersystemsusingsyntheticdata. In: Rec Sys2018:12th ACMConferenceon Recommender Systems;2018 Sep. p.548-52. doi:10.1145/3240323.3240325.
  107. 100. Flick U. Doingqualitativedatacollectionchartingtheroutes. In: The SAGEhandbookofqualitativedatacollection. London: SAGEPublications;2018. p.3-16. doi:10.4135/9781526416070. n1.
  108. 101. Park N, Mohammadi M, Gorde K, Jajodia S, Park H, Kim Y. Datasynthesisbasedongenerativeadversarialnetworks. Proc VLDBEndow.2018;11(10\:1071-83. doi:10.14778/3231751.3231757.
  109. 102. Martin N, Matt C, Niebel C, Blind K. Howdataprotectionregulationaffectsstartupinnovation. Inf Syst Front.2019;21(6\:1307-24. doi:10.1007/s10796-019-09974-2.
  110. 103. Allen C, Des Jardins M, Lee J, etal. Datagovernanceanddatasharingagreementsforcommunity-widehealthinformationexchange: lessonsfromthe Beaconcommunities. EGEMS(Wash DC\.2014;2(1\:1057. doi:10.13063/2327-9214.1057.

Publication Information

Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: 2582-7138 (Online)

Frequency: Bimonthly

Language: English

Open Access: Yes - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

Share This Article: