Have a personal or library account? Click to login

Effectiveness of Agile Compared to Waterfall Implementation Methods in it Projects: Analysis Based on Business Intelligence Projects

Foundations of Management
Volume 9 (2017): Issue 1 (February 2017)
By:
Open Access
|Oct 2017

References

  1. [1] Awad, M.A., 2012. Comparison between Agile and Traditional Software Development Methodologies. School of Computer Science and software Engineering, The University of Western Australia, 2005.
    Search in Google ScholarBack to article
  2. [2] Bannon L.J., 1991. From Human Factors to Human Actors The Role of Psychology and Human-Computer Interaction Studies in Systems Design. Book Chapter in Greenbaum, J. & Kyng, M. (eds.) (1991). Design at work: Cooperative Design of Computer Systems. Hillsdale: Lawrence Erlbaum Associates, pp.25-44.
    Search in Google ScholarBack to article
  3. [3] BARC, http://barc-research.com/research/bi-trend-monitor/.
    Search in Google ScholarBack to article
  4. [4] Beck, K., Beedle, M., Arie van Bennekum, Cockburn, A., Cunningham, W., Fowler, M., Highsmith, J., Hunt, A., Jeffries, R., Kern, J., Marick, B., Martin, R.C., Mellor S., Schwaber, K., Sutherland, J. Thomas, D., Grenning J., 2001. Principles behind the Agile Manifesto. January 2016. Retrieved from: www.agilemanifesto.org/principles.html
    Search in Google ScholarBack to article
  5. [5] Blomkvist, S., 2010. Towards a Model for Bringing Agile Development and User-Centered Design. Uppsala University, Sweden.
    Search in Google ScholarBack to article
  6. [6] Cerqueira, P., 2015. Lessons Learned Supporting a Large-Scale, Real-World Production Data Warehouse/Business Intelligence Environment, Business Intelligence Journal, Volume 20, Number 4, December 2015.
    Search in Google ScholarBack to article
  7. [7] Chen, H., Chiang, R.H.L., & Storey, V.C., 2012. Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165-1188. 10.2307/41703503
    Search in Google ScholarBack to article
  8. [8] Cobb, Ch.G., 2015. The Project Manager's Guide to Mastering Agile: Principles and Practices for an Adaptive Approach (1), John Wiley & Sons, Incorporated, Somerset, US.
    Search in Google ScholarBack to article
  9. [9] Dresner H., 2012. Wisdom of Crowds Business Intelligence Market Study. Dresdner Advisory Services’ (DAS), May 2012.
    Search in Google ScholarBack to article
  10. [10] Eckerson, W., 2007. Predictive Analytics. Extending the Value of Your Data Warehousing Investment, TDWI Best Practices Report. June 2013. Retrieved from: http://www.sas.com/events/cm/174390/assets/102892_0107.pdf
    Search in Google ScholarBack to article
  11. [11] Eckerson W., 2007. The Secrets of Creating an Agile Adaptable BI Environment, 2010, TDWI Education. March 2011. Retrieved from: http://tdwi.org/webcasts/2007/11/the-secrets-ofbuilding-an-agile-adaptable-bi-environment.aspx
    Search in Google ScholarBack to article
  12. [12] Evelson, B., 2010. Agile BI out of the Box, pp.1-18. March 2010. Retrieved from: https://www.wherescape.com/getattachment/resource-library/white-papers/agile-bi-out-of-the-box/Agile-BIout-of-the-box.pdf
    Search in Google ScholarBack to article
  13. [13] Gartner Report, 2013. Gartner Says Worldwide Business Intelligence, CPM and Analytic Applications/ Performance Management Software Market Grew Seven Percent in 2012. June 2013. Retrieved from: www.gartner.com/newsroom/id/2507915
    Search in Google ScholarBack to article
  14. [14] Gartner Report, 2017. Critical Capabilities for Business Intelligence and Analytics Platforms report, February 2017. Retrieved from: http://pages.pyramidanalytics.com/gartner-mqand-critical-capabilities-2017.html?utm_medium=cpc&utm_source=solutionsreview&utm_campaign=Gartner2016&utm_content=300x250.
    Search in Google ScholarBack to article
  15. [15] Gefen, D., 2004. What Makes an ERP Implementation Relationship Worthwhile: Linking Trust Mechanisms and ERP Usefulness. Journal of Management Information Systems, Vol., 21. No. 1. pp 263-288, Summer 2004. 10.1080/07421222.2004.11045792
    Search in Google ScholarBack to article
  16. [16] Kernochan W., 2012. Why Most Business Intelligence Projects Fail. June 2014. Retrieved from: http://www.enterpriseappstoday.com/business-intelligence/why-most-business-intelligence-projects-fail-1.html.
    Search in Google ScholarBack to article
  17. [17] Marjanovic O., 2010. Business Value Creation through Business Processes Management and Operational Business Intelligence Integration. May 2015. Retrieved from: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5428535&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5428535.
    Search in Google ScholarBack to article
  18. [18] Muntean M., 2011. A Business Intelligence framework for universities. The tenth International Conference on Informatics in Economy - Education, Research &Business Technologies, (IE2011), Department of Informatics in Economy, Faculty of Cybernetics, Statistics and Informatics in Economy, Academy of Economic Studies, Bucuresti, Education, Research & Business Technologies, pp.1-6.
    Search in Google ScholarBack to article
  19. [19] Oxford Economics Reports, 2015. Digital Megatrends 2015, The role of Technology in the New Normal market. May 2015. Retrieved from: https://www.oxfordeconomics.com/Media/Default/Thought%20Leadership/advisory-panels/Digital_Megatrends.pdf.
    Search in Google ScholarBack to article
  20. [20] Parker J., 2014. KPIs for Agile Project Managers and Business Analysts. January 2016. Retrieved from: http://www.slideshare.net/EnfocusSolutions/kpis-for-agile-projectmanagers-and-business-analysts
    Search in Google ScholarBack to article
  21. [21] Project Management & Agile Methodologies. September 2012. Retrieved from: https://www.cprime.com/2012/09/project-management-agilemethodologies
    Search in Google ScholarBack to article
  22. [22] Scott, W., 2012. Active Stakeholder Participation: An Agile Best Practice. January 2016. Retrieved from: http://agilemodeling.com/essays/activeStakeholderParticipation.htm#Why
    Search in Google ScholarBack to article
  23. [23] TDWI Research, 2011. 2011 TDWI BI Benchmark Reports: Organizational and Performance metrics for Business Intelligence teams. January 2014. Retrieved from: http://tdwi.org/research/2011/09/2011-tdwi-bi-benchmark-report.pdf
    Search in Google ScholarBack to article
  24. [24] Vijaya, D., 2013. Traditional and Agile Methods: An Interpretation. January 2013. Retrieved from: http://www.scrumalliance.org/community/articles/2013/january/traditional-and-agile-methods-an-interpretation.
    Search in Google ScholarBack to article
  25. [25] Watson, H., Fuller, C., & Ariyachandra, T., 2004. Data Warehouse Governance: Best Practices at Blue Cross and Blue Shield of North Carolina, Journal of Decision Support Systems, 38(3), 2004, pp.435-450. 10.1016/j.dss.2003.06.001
    Search in Google ScholarBack to article
  26. [26] White, D., 2011. Agile BI: Completing Traditional BI to Address the Shrinking Decision- Window, Aberdeen Group. December 2015. Retrieved from: http://www.blockconsulting.net/PSBDGroup/Aberdeen-agile-BI-shrink-decisionwindow.pdf.
    Search in Google ScholarBack to article
DOI: https://doi.org/10.1515/fman-2017-0021 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
Journal RSS Feed
Language: English
Page range: 273 - 286
Published on: Oct 28, 2017
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
agile,
waterfall,
business intelligence,
analytics,
big data,
end-users requirements,
sprint
Related subjects:
Computer sciences,
Business computing,
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment

© 2017 Jerzy Kisielnicki, Anna Maria Misiak, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 9 (2017): Issue 1 (February 2017)Next article