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Enhancement of a Data Management System using Design for Lean Six Sigma

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Lean, Green and Sustainability (ELEC 2022)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 668))

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Abstract

The purpose of this study is to outline a transformation model that can help commercial enterprises to design, develop and launch a transformation programme of change for their data management system applying Design for Lean Six Sigma - Define-Measure-Analyse-Design-Verify methodology. Design for Lean Six Sigma methodology was chosen to develop/implement a five-year roadmap to enhance a data management system to effectively predict and react to customers’ needs and competitors’ actions and survive in a constantly changing financial services industry. Companies seek to enhance their level of data quality to comply with regulatory requirements, reduce uncertainty and improve the quality of decision-making with more accurate and timely data available. The model used conveys how the organisation will implement and sustain a standardised data management system to reduce the Cost of Poor-Quality data by 27.33%, decrease the electronic data retention cycle time to a maximum of 7 years, previously stored long-term, and achieve/sustain a 90% deletion target for emails older than seven years. Data deemed nonvalue added does not contribute to satisfying customer requirements, therefore Design for Six Sigma methodology was used as a vehicle to systematically identify, manage and delete same. This study is one of the first studies on Design for Lean Six Sigma application in a financial data management system.

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References

  1. Turban, E., Volonino, L.: Information Technology for Management, pp. 83–108. Wiley, Asia (2010)

    Google Scholar 

  2. Fuller, B., Redman, T.C.: Data quality lessons learned at telecom Australia. QUALCON 94, 379–386 (1994)

    Google Scholar 

  3. Ballou, D.P., Tayi, G.K.: Enhancing data quality in data warehouse environments. Commun. ACM 42, 73–78 (1999)

    Article  Google Scholar 

  4. Alshikhi, O.A., Abdullah, B.M.: Information quality: definitions, measurement, dimensions, and relationship with decision making. Eur. J. Bus. Innov. Res. 6, 36–42 (2018)

    Google Scholar 

  5. De Koning, H., Does, R.J., Bisgaard, S.: Lean Six Sigma in financial services. Int. J. Six Sigma Compet. Advantage 4, 1–17 (2008)

    Article  Google Scholar 

  6. Keisidou, E., Lazaros, S., Maditions, D.I., Thalassinos, E.I.: Customer satisfaction, loyalty and financial performance: a holistic approach of the Greek banking sector. Int. J. Bank Mark. 31, 259–288 (2013). https://doi.org/10.1108/IJBM-11-2012-0114

    Article  Google Scholar 

  7. Fatima, J.K., Razzaque, M.A., Di Mascio, R.: Modelling satisfaction-commitment relationship in developing country context. Int. J. Qual. Reliabil. Manag. 33, 985–1001 (2016). https://doi.org/10.1108/IJQRM-01-2014-0013

    Article  Google Scholar 

  8. Brun, I., Rajaobelina, L., Ricard, L.: Online relationship quality: scale development and initial testing. Int. J. Bank Mark. 32, 5–27 (2014)

    Article  Google Scholar 

  9. Paul, J., Mittal, A., Srivastav, G.: Impact of service quality on customer satisfaction in private and public sector banks. Int. J. Bank Mark. 34, 606–622 (2016)

    Article  Google Scholar 

  10. Jun, M., Cai, S.A, Kim, D.: The linkages of online banking service quality dimensions to customer satisfaction. In: Proceedings - Annual Meeting of the Decision Sciences Institute. Presented at the Decision Sciences Institute 2002 Proceedings, pp. 2125–2130 (2002)

    Google Scholar 

  11. Erginel, N.: Construction of a fuzzy QFD failure matrix using a fuzzy multiple-objective decision model. J. Eng. Des. 21, 677–692 (2010). https://doi.org/10.1080/09544820902810261

    Article  Google Scholar 

  12. Paltayian, G.N., Georgiou, A.C., Gotzamani, K.D., Andronikidis, A.I.: An integrated framework to improve quality and competitive positioning within the financial services context. Int. J. Bank Mark. 30, 527–547 (2012). https://doi.org/10.1108/02652321211274282

    Article  Google Scholar 

  13. Adiandari, A., Winata, H., Fitriandari, M., Hariguna, T.: Improving the quality of Internet banking services: an implementation of the quality function deployment (QFD) concept. Manage. Sci. Lett. 10, 1121–1128 (2020). https://doi.org/10.5267/j.msl.2019.10.029

    Article  Google Scholar 

  14. Heckl, D., Moormann, J., Rosemann, M.: Uptake and success factors of Six Sigma in the financial services industry. Bus. Process. Manag. J. 16, 436–472 (2010). https://doi.org/10.1108/14637151011049449

    Article  Google Scholar 

  15. Kumar, R.B.M.: Enhancing data security by enabling tracking mechanism. Int. J. Innov. Sci. Res. Technol. 5, 1328–1331 (2020)

    Google Scholar 

  16. De Mast, J.: Six Sigma and competitive advantage. Total Qual. Manag. Bus. Excell. 17, 455–465 (2006)

    Article  Google Scholar 

  17. George, M.: Lean Six Sigma for Service, The ROI of Lean Six Sigma for Services, pp. 1–19. McGraw Hill Professional, New York (2003)

    Google Scholar 

  18. Delgado, C., Ferreira, M., Castelo Branco, M.: The implementation of lean Six Sigma in financial services organizations. J. Manuf. Technol. Manage. 21, 512–523 (2010). http://dx.doi.org/10.1108/17410381011046616

  19. Snee, R.D., Hoerl, R.W.: Leading Six Sigma: a Step-by-Step Guide Based on Experience with GE and Other Six Sigma Companies. Ft Press, New York (2003)

    Google Scholar 

  20. Lokkerbol, J., Does, R., de Mast, J., Schoonhoven, M.: Improving processes in financial service organizations: where to begin? Int. J. Qual. Reliabil. Manage. 29(9), 1047–1066 (2012)

    Article  Google Scholar 

  21. Mahmutaj, L.R., Jusufi, G., Zylfijaj, K., Grubi, A.K.: The role of quality management practices in improving the efficiency and effectiveness of financial services. Mediterr. J. Soc. Sci. 6, 218–225 (2015)

    Google Scholar 

  22. Snee, R.D., Hoerl, R.W.: Integrating lean and Six Sigma-a holistic approach. Six Sigma Forum Mag. 6, 15–21 (2007)

    Google Scholar 

  23. Wang, L., Hussain, I.: Banking sector growth in China: can Six-Sigma be a solution? Int. J. Bus. Manage. 6, 169–176 (2011)

    Article  Google Scholar 

  24. Alblooshi, M., Shamsuzzaman, M., Khoo, M.B.C., Rahim, A., Haridy, S.: Requirements, challenges and impacts of Lean Six Sigma applications–a narrative synthesis of qualitative research. Int. J. Lean Six Sigma 12, 318–367 (2020)

    Article  Google Scholar 

  25. Francis, D., Bessant, J., Hobday, M.: Managing radical organisational transformation. Manag. Decis. 41, 18–31 (2003)

    Article  Google Scholar 

  26. Qiu, M., Gai, K., Zhao, H. and Liu, M.: Privacy‐preserving smart data storage for financial industry in cloud computing. Concurr. Comput. 30 (2018). http://dx.doi.org/10.1002/cpe.4278

  27. Duarte, B., Montgomery, D., Fowler, J., Konopka, J.: Deploying LSS in a global enterprise–project identification. Int. J. Lean Six Sigma 3, 187–205 (2012)

    Article  Google Scholar 

  28. Kumar, M., Antony, J., Madu, C.N., Montgomery, D.C., Park, S.H.: Common myths of Six Sigma demystified. Int. J. Qual. Reliabil. Manag. 25, 878–895 (2008)

    Article  Google Scholar 

  29. Moyano-Fuentes, J., Martínez-Jurado, P.J., Maqueira-Marín, J.M., Bruque-Cámara, S.: Impact of use of information technology on lean production adoption: evidence from the automotive industry. Int. J. Technol. Manage. 57, 132–148 (2012)

    Article  Google Scholar 

  30. English, L.: Improving Data Warehouse and Business Information Quality. Wiley, New York (1999)

    Google Scholar 

  31. Ferguson, B., Lim, J.N.W.: Incentives and clinical governance: money following quality? J. Manag. Med. 15, 45 (2001)

    Article  Google Scholar 

  32. Crump, N.: Managing professional integration in an acute hospital - a socio-political analysis. Int. J. Public Sect. Manag. 15, 107–117 (2002)

    Article  Google Scholar 

  33. Redman, T.C.: The Impact of poor data quality on the typical enterprise. Commun. ACM 41, 191–204 (1998)

    Article  Google Scholar 

  34. Haug, A., Zachariassen, F., Van Liempd, D.: The costs of poor data quality. J. Industr. Eng. Manag. 4, 168–193 (2011). https://doi.org/10.3926/jiem.2011.v4n2

    Article  Google Scholar 

  35. Redman, T.C.: Data Quality: The Field Guide. Digital press, Boston (2001)

    Google Scholar 

  36. Malcom, A.: Poor data quality costs 10% of revenues, survey reveals. Wellington: Computerworld (1998). http://computerworld.co.nz/news.nsf/UNID/CC256CED0016AD1ECC25684C000E0278?OpenDocument&Highlight=2,Poor,data,quality,costs

  37. Kim, W., Choi, B.J., Hong, E.K., Kim, S.K., Lee, D.: A taxonomy of dirty data. Data Min. Knowl. Disc. 7, 81–99 (2003)

    Article  Google Scholar 

  38. Keenan, S.C.: Financial Institution Advantage and the Optimization of Information Processing. Wiley, New Jersey (2015)

    Book  Google Scholar 

  39. Bicheno, J., Holweg, M.: The Lean Toolbox, 5, pp. 2–144. PICSIE Books, Buckingham (2016)

    Google Scholar 

  40. Pepper, M.P., Spedding, T.A.: The evolution of lean Six Sigma. Int. J. Qual. Reliabil. Manag. 27(2), 138–155 (2010)

    Article  Google Scholar 

  41. Womack, J., Jones, D.T.: Lean Thinking: Banish Waste and Create Wealth in Your Corporation, pp. 1–7. Simon and Schuster, London (1996)

    Google Scholar 

  42. Ganesh, L.S., Marathe, R.R.: Lean Six Sigma in consumer banking–an empirical inquiry. Int. J. Qual. Reliab. Manag. 36, 1345–1369 (2019)

    Article  Google Scholar 

  43. Yang, K.: Design for Six Sigma for Service. McGraw-Hill Education, New York (2005)

    Google Scholar 

  44. Wilson, G.: Six Sigma and the Product Development Cycle. Elsevier Butterworth-Heinemann, London (2005). https://doi.org/10.4324/9780080493084

  45. Holsapple, C.W., Joshi, K.D.: A formal knowledge management ontology. In: Holsapple, C.W. (ed.) Handbook on Knowledge Management 1, vol. 1, pp. 89–124. Springer, Verlag, New York (2003). https://doi.org/10.1002/asi.20007

  46. Selvi, K., Majumdar, R.: Six sigma-overview of DMAIC and DMADV. Int. J. Innov. Sci. Mod. Eng. 2, 16–19 (2014)

    Google Scholar 

  47. Fang, B., Zhang, P.: Big data in finance. In: Yu, S., Guo, S. (eds.) Big Data Concepts, Theories, and Applications, pp. 391–412. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-27763-9_11

    Chapter  Google Scholar 

  48. Salaun, Y., Flores, K.: Information quality: meeting the needs of the consumer. Int. J. Inf. Manage. 21, 21–37 (2001)

    Article  Google Scholar 

  49. Strong, D.M.: IT process designs for improving information quality and reducing exception handling: a simulation experiment. Inf. Manag. 31, 251–263 (1997)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Limerick, Limerick, Ireland

    Roisin Eaton & John Noonan

  2. University of Galway, Galway, Ireland

    Olivia McDermott

Authors
  1. Roisin Eaton
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  2. John Noonan
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  3. Olivia McDermott
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Correspondence to Olivia McDermott .

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Editors and Affiliations

  1. University of Galway, Galway, Ireland

    Olivia McDermott

  2. LUM University "Giuseppe Degennaro", Casamassima, Italy

    Angelo Rosa

  3. Instituto Superior de Engenharia do Porto, Porto, Portugal

    José Carlos Sá

  4. University of Galway, Galway, Ireland

    Aidan Toner

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Eaton, R., Noonan, J., McDermott, O. (2023). Enhancement of a Data Management System using Design for Lean Six Sigma. In: McDermott, O., Rosa, A., Sá, J.C., Toner, A. (eds) Lean, Green and Sustainability. ELEC 2022. IFIP Advances in Information and Communication Technology, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-25741-4_25

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  • DOI: https://doi.org/10.1007/978-3-031-25741-4_25

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