Banca de DEFESA: FELIPE DE MENEZES PEREIRA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : FELIPE DE MENEZES PEREIRA
DATE: 07/08/2023
TIME: 09:00
LOCAL: VIDEOCONFERÊNCIA (a ser publicado no Forum do Sigaa)
TITLE:

ASSESSMENT OF DATA-DRIVEN CULTURE AND BUSINESS INTELLIGENCE AT MATURITY LEVELS IN THE ORGANIZATIONAL ENVIRONMENT

KEY WORDS:

Data-driven culture, Decision making, Business intelligence, Maturity model, Organizational culture

PAGES: 200
BIG AREA: Ciências Sociais Aplicadas
AREA: Administração
SUMMARY:

The data-driven culture combined with the use of business intelligence helps organizations gain competitive advantage, making them more agile and assertive. Despite the interest in the association between data-driven culture and business intelligence, few studies have considered maturity analysis. In this context, the present study aims to understand the evaluation of data-driven culture at maturity levels in supporting decision-making processes in large organizations. Initially, the study was evaluated and approved by the Research Ethics Committee. After approval, the data were obtained through semi-structured interviews with 14 managers specialized in the area of data science of large companies in Brazil chosen for convenience. The analysis of qualitative data was performed by means of hermeneutics. As result, a data-driven culture evaluation model was constructed to identify organizational maturity through the main internal processes and key activities. The model is made of affirmative assertions written at the highest level of maturity in which the respondent relates their level of agreement to each aspect of the evaluated data-driven culture (artifacts, implicit assumptions, and organizational beliefs and values). The study concludes that data-driven culture can be leveled into degrees of maturity from the analysis of key activities and key business processes. Finally, as contributions of the study, the developed model serves as an organizational guide by integrating the allied data-oriented culture and business intelligence, pointing out ways for the development of analytical maturity.

COMMITTEE MEMBERS:
Externo à Instituição - ANDERSON TIAGO PEIXOTO GONÇALVES - UFPE
Externo ao Programa - 1323908 - JOAO CARLOS ALCHIERI - nullExterna à Instituição - MARIA LUIZA AZEVEDO DE CARVALHO - IFRN
Interna - 1372521 - MARIA VALERIA PEREIRA DE ARAUJO
Presidente - 2859852 - MAX LEANDRO DE ARAUJO BRITO