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The Management of Businesses through Information Systems

Author

Listed:
  • Emilia Vasile

    (Athenaeum University, Bucharest, Romania)

  • Danut Octavian Simion

    (Athenaeum University, Bucharest, Romania)

Abstract

The paper presents ways to manage businesses through information systems that can store data into databases and makes possible the creation of complex queries which will help managers to make an appropriate decision based on facts that express the business environment.Unlike conventional systems based on files for automatic data processing, information stored in databases so that data is not duplicated. However, sometimes, to achieve high performance in terms of response time is accepting some redundancy data. Sharing data refers not only to the aspect of ensuring multiple users access the same data, but also the opportunity to develop applications without modifying the database structure. Sharing problems arise at a higher level for DBMS enabling networking sites. An information system for business that is based on databases can resolve the issues of manipulation of large quantities of data that are provided from different departments such as supply, production, accounting, marketing and other areas. Based on these data can be built complex reports that allow the managers to create different scenarios with various inputs and multiple outputs on which decisions may be taken. Analysis and complex queries are provided by tools that extract certain amount of data in specific periods of time and so it is possible to create forecasts and scenarios that make the process of decision more efficient.

Suggested Citation

  • Emilia Vasile & Danut Octavian Simion, 2017. "The Management of Businesses through Information Systems," Working papers Globalization - Economic, Social and Moral Implications, April 2017 20, Research Association for Interdisciplinary Studies.
  • Handle: RePEc:smo:wpaper:20
    DOI: 10.5281/zenodo.581790
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    More about this item

    Keywords

    Management information systems; business model; data warehouse star model; SQL queries and reports; economical analysis.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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