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Analytical management model for data-driven companies

Lima JJM;
Redaelli EJ

José Jerônimo de Menezes Lima

Emir José Redaelli


Resumo

This qualitative research proposes a management analytical model framework for data-driven companies. The framework was developed from the narrative review of the specialized literature on management models focused on data analysis to leverage the competitiveness of data-driven companies. An analytical management model is a set of logically interrelated management fundamentals, systemically integrated and coherent with an organizational philosophy based on data analysis for strategic decision-making, aiming to generate analytical advantage and, consequently, sustainable competitive advantage in business. The structure of the  proposed framework has the following components: Analytical Competition and Analytical Advantage; Strategic Positioning and Analytical Focus; Transformative Leadership and Data-Driven Journey; Market Orientation and Trend Analysis; Domain of Data Science and Business Analytics; Data-Driven Decision Making; and Analytical Project Management. The main contribution of this research is of a theoretical-managerial nature and aims to identify determining factors for the ideation of a management model focused on data analysis. As future studies, the operationalization  of the framework's components is suggested, enabling its implementation in knowledge-intensive companies to validate its adequacy to the context of analytical competition.

 

DOI:https://doi.org/10.56238/sevened2023.006-013


Creative Commons License

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2023 José Jerônimo de Menezes Lima, Emir José Redaelli

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  • José Jerônimo de Menezes Lima
  • Emir José Redaelli