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Business Intelligence Tools for Informed Decision-Making: An Overview

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Strategic Engineering for Cloud Computing and Big Data Analytics

Abstract

Numerous organisations are facing challenges of manipulating large volumes of data generated as a result of their internal business processes. Manual inference from such data often results in poor outcome. Decision makers within such firms are now reliant on the processed data created by the use of business intelligence tools and dashboards. In this chapter, the business intelligence and analytics concepts are explained as a means to manage vast amounts of data. Number of business intelligence tools and relevant strategies are discussed. Case studies and applications, e.g., banking sector are provided.

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References

  1. Patanakul, P., & Shenhar, A. J. (2012). What project strategy really is: The fundamental building block in strategic project management. Project Management Journal, 43(1), 4–20.

    Article  Google Scholar 

  2. Elias, H. (2012). The big data challenge: how to develop a winning strategy. http://www.cio.com/article/2395010/data-management/the-big-data-challenge–how-to-develop-a-winning-strategy.html.

  3. Parise, S., Iyer, B., & Vesset, D. (2012). Four strategies to capture and create value from big data. Ivey Business Journal.

    Google Scholar 

  4. Oracle. (2015). Integrate for insight: Combining big data tools with traditional data management offers. http://www.oracle.com/us/technologies/big-data/big-data-strategy-guide-1536569.pdf.

  5. Ribarsky, W., Wang, D. X., & Dou, W. (2014). Social media analytics for competitive advantage. Computers & Graphics, 38, 328–331.

    Article  Google Scholar 

  6. Moro, S., Cortez, P., & Rita, P. (2015). Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Systems with Applications, 42(3), 1314–1324.

    Article  Google Scholar 

  7. Haque, W., & Dhanoa, R. (2015). A framework for reporting and analytics. s.l., Academic Search Complete.

    Google Scholar 

  8. Dull, T. (2016). A non-geek’s big data playbook: Hadoop and the enterprise data warehouse. Cary: NC USA, SAS Institute Inc.

    Google Scholar 

  9. Pearson Education Inc. (2014). Foundations of business intelligence: Databases and information management. s.l.: Pearson Education Inc.

    Google Scholar 

  10. Bacic, D., & Fadlalla, A. (2016). Business information visualisation intellectual contributions: An integrative framework of visualisation capabilities and dimensions of visual intelligence. Decision Support Systems, 89, 77–86.

    Article  Google Scholar 

  11. Ghazanfari, M., Jafari, M., & Rouhani, S. (2011). A tool to evaluate the business intelligence of enterprise systems. Scientia Iranica, 18(6), 1579–1590.

    Article  Google Scholar 

  12. Xia, B. S., & Gong, P. (2012). Review of business intelligence through data analysis. Benchmarking: An international Journal, 21(2), 300–309. (Ramachandran, 2016).

    Google Scholar 

  13. Nadeem, M., & Jaffri, S. A. H. (2004). Application of business intelligence in banks (Pakistan). Karachi, Pakistan: Cornell University Library.

    Google Scholar 

  14. SAP. (2016). Increase business agility with the right information, when and where it’s needed. Retrieved July 26, 2016, http://go.sap.com/uk/documents/2016/06/e65abd4e-777c-0010-82c7-eda71af511fa.html.

  15. Tableau. (2016). Banking. Retrieved July 28, 2016, www.tableau.com/stories/topic/banking.

  16. Olap.com. (2016). Business performance management. Retrieved August 4, 2016, http://olap.com/learn-bi-olap.

  17. Omotayo, F. O. (2015). Knowledge management as an important tool in organisational management: A review of literature. Library Philosophy and Practice 1–23. General OneFile, EBSCOhost.

    Google Scholar 

  18. Larson, D., & Chang, V. (2016). A review and future direction of agile, business intelligence, analytics and data science. International Journal of Information Management, 36(5), 700–710.

    Article  Google Scholar 

  19. Florin, D., & Radu-Daniel, L. (2014). The impact of business intelligence recognition of goodwill valuation. Procedia Economics and Finance, 15, 1779–1786.

    Article  Google Scholar 

  20. 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.

    Google Scholar 

  21. Turban, E., Sharda, R., & Delen, D. (2011). Decision support and business intelligence systems (9th ed.). Upper Saddle River, NJ: Prentice-Hall.

    Google Scholar 

  22. Rao, G. K., & Kumar, R. (2011). Framework to integrate business intelligence and knowledge management in banking industry. Review of Business and Technology Research, 4(1).

    Google Scholar 

  23. Beal, V. (2015). BPM—Business performance management. Retrieved August 4, 2016 http://www.webopedia.com/TERM/B/BPM.html.

  24. Ramachandran, M. (2016). Introduction to BPMN for BI and BD Analytics. In A lecture on Business Process re-engineering. Leeds Bekett University. February.

    Google Scholar 

  25. Wong, W. P., Ahmad, N. H., Nasurdin, A. M., & Mohamad, M. N. (2014). The impact of external environmental on business process management and organizational performance. Service Business, 8(4), 559–586.

    Article  Google Scholar 

  26. Web Finance Inc. (2016). Business performance management (BPM). Retrieved August 4, 2016, http://www.businessdictionary.com/definition/business-performance-management-BPM.html.

  27. Adrian. (2014). User interface design examples for your inspiration. Retrieved August 3, 2016, http://designmodo.com/user-interface-design-examples/.

  28. Cartouche. (2012). Types of user interfaces. Retrieved August 3, 2016, http://www.e-cartouche.ch/content_reg/cartouche/ui_access/en/html/UnitGUI_UI.html.

  29. Xerox. (2016). 35 Interface Innovations that Rocked Our World. Retrieved August 3, 2016, https://www.xerox.com/en-us/insights/user-interface-examples.

  30. Vartak, M., et al. (2015). SEEDB: Efficient data-driven visualisation recommendations to support visual analytics. Proceeedings of the VLDB Endowment, 8(13), 2182–2193.

    Article  Google Scholar 

  31. Beal, V. (2016). Business analytics. Retrieved August 4, 2016, http://www.webopedia.com/TERM/B/business_analytics.html.

  32. Rouse, M. (2010). Business analytics (BA). Retrieved August 4, 2016, http://searchbusinessanalytics.techtarget.com/definition/business-analytics-BA.

  33. SAP. (2014). BI Strategy. Retrieved August 4, 2016, https://www.sapbi.com/wp-content/themes/sapbi/library/images/bistrategy/BI%20Strategy.pdf.

  34. Sherman, R. (2015). Understanding BI analytics tools and their benefits. Retrieved August 8, 2016, http://searchbusinessanalytics.techtarget.com/feature/Understanding-BI-analytics-tools-and-their-benefits.

  35. Software Advice. (2016). Compare UK Business Intelligence (BI) Software. Retrieved August 8, 2016, http://www.softwareadvice.com/uk/bi/.

  36. Alade, A. T. (2016). Research Proposal Assessment 3. s.n.: Leeds.

    Google Scholar 

  37. Baiju, N. (2014). Top business intelligence (BI) tools in the market. Retrieved August 8, 2016, http://bigdata-madesimple.com/top-business-intelligence-bi-tools-in-the-market/.

  38. DISYS. (2016). Banks, financial institutions can leverage buisiness intelligence to making lending decisions. Retrieved July 28, 2016, www.disys.com/banks-financial-institutions-can-leverage-business-intelligence-to-make-lending-decisions/.

  39. DISYS. (2016). Business intelligence can help banks improve mobile solutions. Retrieved July 28, 2016, http://www.disys.com/business-intelligence-can-help-banks-improve-mobile-solutions/.

  40. McDaniel, S., & Hemedinger, C. (2007). SAS for Dummies. Indiana: Wiley Publishing, Inc.

    Google Scholar 

  41. SAS Institute Inc. (2016). SAS the power to know. Retrieved September 5, 2016, http://www.sas.com/en_gb/home.html.

  42. Tech Analytics. (2015). 1 Basics connecting to data—Tableau for beginners. s.l.: YouTube.

    Google Scholar 

  43. Boaler, J. (2016). Seeing as understanding: The importance of visual mathematics. Retrieved August 4, 2016, https://bhi61nm2cr3mkdgk1dtaov18-wpengine.netdna-ssl.com/wp-content/uploads/2016/04/Visual-Math-Paper-vF.pdf.

  44. Flood, M. D., Lemieux, V. L., Varga, M., & Wong, B. W. (2015). The application of visual analytics to financial. Journal of Financial Stability. ScienceDirect, EBSCOhost.

    Google Scholar 

  45. Mohamed, A. (2011). Review: QlikTech’s QlikView business intelligence platform. Retrieved August 8, 2016, http://www.computerweekly.com/feature/Review-QlikTechs-QlikView-business-intelligence-platform.

  46. Data & Tools. (2013). QlikView Introduction. s.l.:s.n.

    Google Scholar 

  47. Visual Intelligence, 2016. What is QlikView? Retrieved August 8, 2016, https://www.visualintelligence.co.nz/qlikview/.

  48. IBM Analytics. (2016). Finance in focus: Turbocharge your anti–money laundering program. Retrieved July 26, 2016, http://www.ibmbigdatahub.com/podcast/finance-focus-turbocharge-your-anti-money-laundering-program.

  49. Bankhawk Analytics. (2016). Banking analytics: The insights corporates need. Retrieved July 27, 2016, www.bankhawk.com/updates/banking-analytics-the-insights-corporates-need-2/.

  50. PWC. (2015). Data and analytics in the banking and capital markets sector. Retrieved August 3, 2016, http://www.pwc.co.uk/data-analytics/industries/banking-and-capital-markets.html.

  51. Corporate Technologies, 2016. Banking. Retrieved July 28, 2016, www.cptech.com/banking-it-business-intelligence/.

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Author information

Authors and Affiliations

  1. School of Computing, Creative Technologies & Engineering, Leeds Beckett University, Leeds, UK

    Abimbola T. Alade

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  1. Abimbola T. Alade
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Correspondence to Abimbola T. Alade .

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Editors and Affiliations

  1. School of Computing, Creative Technologies and Engineering, Leeds Beckett University, Leeds, United Kingdom

    Amin Hosseinian-Far

  2. School of Computing, Creative Technologies and Engineering, Leeds Beckett University, Leeds, United Kingdom

    Muthu Ramachandran

  3. School of Computing, Creative Technologies and Engineering, Leeds Beckett University, Leeds, United Kingdom

    Dilshad Sarwar

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Alade, A.T. (2017). Business Intelligence Tools for Informed Decision-Making: An Overview. In: Hosseinian-Far, A., Ramachandran, M., Sarwar, D. (eds) Strategic Engineering for Cloud Computing and Big Data Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-52491-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-52491-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52490-0

  • Online ISBN: 978-3-319-52491-7

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