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Business Intelligence Approaches


  • Muntean, Mihaela


Business Intelligence (BI) is unanimous considered the art of gaining business advantage from data; therefore BI systems and infrastructures must integrate disparate data sources into a single coherent framework for real-time reporting and detailed analysis within the extended enterprise. Also the solution to a business problem is a process that includes business intelligence, BI, by itself, is rarely the complete solution to the problem. Therefore, BI tools must understand the process and how to be part of it. Subordinated to performance management, Business Intelligence approaches help firms to optimize business performance. Looking inside the business and at the environment in which they operate, managers are able to fundament the most productive and profitable decisions. The new trend of social BI in business analysis comes with an innovative approach in consolidating performance management. A data warehouse schema for social BI will be a good start for future debates.

Suggested Citation

  • Muntean, Mihaela, 2012. "Business Intelligence Approaches," MPRA Paper 41139, University Library of Munich, Germany, revised 03 Jun 2012.
  • Handle: RePEc:pra:mprapa:41139

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    References listed on IDEAS

    1. Muntean, Mihaela & Cabau, Liviu Gabriel, 2011. "Business Intelligence Approach In A Business Performance Context," MPRA Paper 29914, University Library of Munich, Germany.
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    Cited by:

    1. Oana - Antonia Colibasanu, 2008. "Between Intelligence and Espionage in the Contemporary Business Environment," Ekonomika a Management, University of Economics, Prague, vol. 2008(4).
    2. Teodora Vătuiu & Mioara Udrică & Naiana Tarcă, 2013. "Cloud Computing Technology - Optimal Solution for Efficient Use of Business Intelligence and Enterprise Resource Planning Applications," Journal of Knowledge Management, Economics and Information Technology,, vol. 3(6), pages 1-28, December.
    3. Oana - Antonia Colibasanu, 2010. "Strategic Management using Business Intelligence Tools in Mettalurgical Plants," Ekonomika a Management, University of Economics, Prague, vol. 2010(3).
    4. Mihaela Muntean, 2018. "Business Intelligence Issues for Sustainability Projects," Sustainability, MDPI, Open Access Journal, vol. 10(2), pages 1-10, January.
    5. Ioana COMSULEA & Cristina A. FLOREA, 2014. "Integrating Business Intelligence In State Administrative Structures For Stimulating Innovative Clusters," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 4, pages 183-192, November.
    6. Natnael Nigussie Goshu & Surafel Luleseged Tilahun, 2016. "Grey theory to predict Ethiopian foreign currency exchange rate," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 95-116.
    7. Manole Alexandru, 2015. "Business Intelligence in Insurance Brokerage Companies – a Tool for Decision-Makers," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 1(4), pages 37-44, December.
    8. Mihaela I. MUNTEAN, 2009. "Collaborative Environments. Considerations Concerning Some Collaborative Systems," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(2), pages 5-11.
    9. Muntean, Mihaela & Cabau, Liviu Gabiel, 2013. "Business Intelligence Support For Project Management," MPRA Paper 48484, University Library of Munich, Germany, revised 20 May 2013.

    More about this item


    business intelligence; performance management; social business intelligence; social data warehouse;

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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