International Journal of Soft Computing

Year: 2013
Volume: 8
Issue: 5
Page No. 340 - 351

Statistical Data Quality Model for Data Migration Business Enterprise

Authors : T.N. Manjunath and Ravindra S. Hegadi

References

Allaire, P., J. Augat, J. Jose and D. Merrill, 2012. Data migration best practices and nondisruptive migration service capability for enterprise storage, Hitachi data systems. HITACHI. http://www.hds.com/assets/pdf/white-paper-reducing-costs-and-risks-for-data-migrations.pdf.

Badri, M.A., D. Davis and D. Davis, 1995. A study of measuring the critical factors of quality management. Int. J. Qual. Reliab. Manage., 12: 36-53.
CrossRef  |  

Eckerson, W., 2002. Data warehousing special report: Data quality and the bottom line. Applications Development Trends. http://www.estv.ipv.pt/PaginasPessoais/jloureiro/ESI_AID2007_2008/fichas/TP06_anexo1.pdf.

English, L.P., 1999. Improving Data Warehouse and Business Information Quality. 1st Edn., John Wiley Sons Inc., New York, USA., ISBN-13: 978-0471253839, pp: 10.

Fields, K.T., H. Sami and G.E. Sumners, 1986. Quantification of the auditor's evaluation of internal control in data base systems. J. Inf. Syst., 1: 24-77.

Firth, C., 1996. Data quality in practice: Experience from the frontline. Proceedings of the Conference of Information Quality, October 25-26, 1996, Singapore, pp: 25-26.

Friedman, T. and M. Smith, 2011. Measuring the business value of data quality. Gartner Inc., Stamford, CT., USA.

Gupta, V.R., 1997. An introduction to data warehousing. System Services Corporation. http://system-services.com/dwintro.asp.

Han, J. and M. Kamber, 2006. Data Mining: Concepts and Techniques. 2nd Edn., Morgan Kaufmann, San Francisco, CA., USA., ISBN-13: 9781558609013, Pages: 770.

Howard, P., 2011. Data migration. White Paper by Bloor Research, UK., May 2011.

Kahn, B.K., D.M. Strong and R.Y. Wang, 2002. Information quality benchmarks: Product and service performance. Commun. ACM., 45: 184-192.
CrossRef  |  Direct Link  |  

Knight, S.A. and J. Burn, 2005. Developing a framework for assessing information quality on the world wide web. Inf. Sci. J., 8: 159-172.
Direct Link  |  

Li, X.B., 2002. Data reduction via adaptive sampling. Commun. Inf. Syst., 2: 53-68.
Direct Link  |  

Manek, P., 2003. Microsoft® CRM data migration framework white paper. Microsoft Corporation.

Manjunath, T.N., R.S. Hegadi and G.K. Ravikumar, 2010. A survey on multimedia data mining and its relevance today. Int. J. Comput. Sci. Network Secur., 10: 165-170.
Direct Link  |  

Manjunath, T.N., R.S. Hegadi and G.K. Ravikumar, 2011. Analysis of data quality aspects in datawarehouse systems. Int. J. Comput. Sci. Inf. Technol., 2: 477-485.
Direct Link  |  

Miles, M.B. and A.M. Huberman, 1994. Qualitative Data Analysis: A Source Book of New Methods. Sage Publications, Thousand Oaks, USA.

NetApp., 2006. Data migration best practices. Network Appliance Global Services, January, 2006. http://www.sqaforums.com/attachments/575862-Data_migration.pdf.

Potts, W.J.E., 1997. Data Mining Using SAS Enterprise Miner Software. SAS Institute Inc., Cary, NC., USA.

Price, R.J. and G. Shanks, 2004. A semiotic information quality framework. Proceedings of the IFIP International Conference on Decision Support Systems, July 1-3, 2004, Prato, Italy, pp: 658-672.

Ravikumar, G.K., J. Rabi, T.N. Manjunath, R.S. Hegadi and R.A. Archana, 2011. Design of data masking architecture and analysis of data masking techniques for testing. Int. J. Eng. Sci., 3: 5150-5159.
Direct Link  |  

Ryu, K.S., J.S. Park and J.H. Park, 2006. A data quality management maturity model. ETRI J., 28: 191-204.
Direct Link  |  

SAS Institute Inc., 1998. SAS institute white paper, from data to business advantage. Data Mining, The SEMMA Methodology and the SAS® System, SAS Institute Inc., Cary, NC., USA.

TDWI, 2006. The taking data quality to the enterprise through data governance: A report. The Data Warehousing Institute.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved