IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/48484.html
   My bibliography  Save this paper

Business Intelligence Support For Project Management

Author

Listed:
  • Muntean, Mihaela
  • Cabau, Liviu Gabiel

Abstract

With respect to the project management framework, a project live cycle consists of phases like: initiation, planning, execution, monitoring & control and closing. Monitoring implies measuring the progress and performance of the project during its execution and communicating the status. Actual performance is compared with the planned one. Therefore, a minimal set of key performance indicators will be proposed. Monitoring the schedule progress, the project budget and the scope will be possible. Within a Business Intelligence initiative, monitoring is possible by attaching the key performance indicators to the OLAP cube. In turn, the cube was deployed over a proper data warehouse schema.

Suggested Citation

  • Muntean, Mihaela & Cabau, Liviu Gabiel, 2013. "Business Intelligence Support For Project Management," MPRA Paper 48484, University Library of Munich, Germany, revised 20 May 2013.
  • Handle: RePEc:pra:mprapa:48484
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/48484/1/MPRA_paper_48484.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/51905/1/MPRA_paper_51905.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muntean, Mihaela & Cabau, Liviu Gabriel, 2011. "Business Intelligence Approach In A Business Performance Context," MPRA Paper 29914, University Library of Munich, Germany.
    2. Muntean, Mihaela, 2012. "Business Intelligence Approaches," MPRA Paper 41139, University Library of Munich, Germany, revised 03 Jun 2012.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mihaela Muntean, 2018. "Business Intelligence Issues for Sustainability Projects," Sustainability, MDPI, vol. 10(2), pages 1-10, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mihaela Muntean, 2018. "Business Intelligence Issues for Sustainability Projects," Sustainability, MDPI, vol. 10(2), pages 1-10, January.
    2. Oana - Antonia Colibasanu, 2008. "Between Intelligence and Espionage in the Contemporary Business Environment," Ekonomika a Management, Prague University of Economics and Business, vol. 2008(4).
    3. Mladen Pancić & Dražen Ćućić & Hrvoje Serdarušić, 2023. "Business Intelligence (BI) in Firm Performance: Role of Big Data Analytics and Blockchain Technology," Economies, MDPI, vol. 11(3), pages 1-19, March.
    4. Simona-Vasilica Oprea & Adela Bâra & Răzvan Cristian Marales & Margareta-Stela Florescu, 2021. "Data Model for Residential and Commercial Buildings. Load Flexibility Assessment in Smart Cities," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    5. 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.
    6. Muntean, Mihaela, 2012. "Business Intelligence Approaches," MPRA Paper 41139, University Library of Munich, Germany, revised 03 Jun 2012.
    7. 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.
    8. 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, ScientificPapers.org, vol. 3(6), pages 1-28, December.
    9. Muntean, Mihaela & Muntean, Cornelia, 2012. "Evaluating A Business Intelligence Solution. Feasibility Analysis Based On Monte Carlo Method," MPRA Paper 48478, University Library of Munich, Germany, revised 28 May 2013.
    10. Hariharan, Naveen Kunnathuvalappil, 2018. "Data Sources For Business Intelligence," OSF Preprints jrs54, Center for Open Science.
    11. Muntean, Mihaela & Muntean, Cornelia & Cabau, Liviu Gabriel, 2013. "Evaluating Business Intelligence Initiatives With Respect To BI Governance," MPRA Paper 48486, University Library of Munich, Germany, revised 22 Apr 2013.
    12. Oana - Antonia Colibasanu, 2010. "Strategic Management using Business Intelligence Tools in Mettalurgical Plants," Ekonomika a Management, Prague University of Economics and Business, vol. 2010(3).
    13. 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.
    14. 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.

    More about this item

    Keywords

    project management; business intelligence; key performance indicators;
    All these keywords.

    JEL classification:

    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • M0 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:48484. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.