Athenaeum University

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ISSN-L 2065 - 8168
ISSN (e) 2068 - 2077
ISSN (p) 2065 - 8168



Giuseppe Garibaldi No. 2A
Bucharest, Romania


Tel: +4
Fax: +4





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  1. Authors:
      • Emilia VASILE, email:, Afiliation: Athenaeum University, Bucharest, Romania
      • Dănuţ-Octavian SIMION, email:, Afiliation: Athenaeum University, Bucharest, Romania

      • 9|18

  2. Keywords: management and control activity, solutions supports, data structures, data graphs, data trees, economical data, information processes, business flows, application modules

  3. Abstract:
    The paper presents the methods for storing and finding data in the business logic for economic applications. Along with the definition of the business strategy, it is necessary to define the strategy of the information system and this because the IT system supports the managers, through the information provided, in the management and control activity in order to achieve the strategic objectives of the organization, IT systems are open and flexible, constantly adapting to the imposed requirements the dynamic environment in which the company operates, promoting IT solutions supports the organization in consolidating and developing the business (eg: electronic commerce, e-banking, etc.), the computer system provides the necessary information to control the fulfillment and adaptation of the plans operational and strategic aspects of the organization, the organization must know and control the risks related to the implementation of the new ones technologies and adaptation of the computer system to the new requirements,  establishing standards at the level of the information system that are meant to specify the hardware and software features and performance of the components to be purchased and what methodologies are to be used in the development of the system. Storing and finding data is an important action for the IT system in the role to provide fast and secure informations that are used in business logic and flow available to managers for the decision-making process. The methods include complex algorithms and the reason of these is to get fast responses at different types of queries embedded in specific modules of an economic application.

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