The convergence of business intelligence and digital branding: a data-driven approach to consumer behavior in the algorithmic era
The convergence of business intelligence and digital branding: a data-driven approach to consumer behavior in the algorithmic era
DOI:
https://doi.org/10.51473/rcmos.v1i1.2024.1858Keywords:
Business Intelligence, Strategic Marketing, Digital Media, Consumer Behavior, DataDriven.Abstract
This scientific paper proposes a multidimensional and in-depth analysis of the integration between strategic communication, traditional marketing management, and Business Intelligence (BI) within the context of the contemporary digital economy. Through a systematic literature review and critical analysis of market trends and academic studies up to 2022, it investigates how the transition from creative "feeling" to a data-driven culture has reconfigured brand positioning strategies and executive decision-making. The study explores the dialectical tension between longterm Brand Equity building and the pressure for short-term performance driven by digital metrics, contextualizing the hybrid academic background necessary to navigate this landscape. It discusses the role of algorithms in consumption curation, data collection ethics (LGPD/GDPR), and the application of consumer neuroscience to decode decision patterns. It concludes that the modern marketing professional must act as a "humanized data architect," using analytical intelligence not to replace creativity, but to enhance the cultural and commercial relevance of brands in a fragmented media ecosystem.
Downloads
References
AAKER, DAVID A. Managing brand equity: capitalizing on the value of a brand. New York: Free Press, 1991.
BAUMAN, ZYGMUNT. Modernidade líquida. Rio de Janeiro: Jorge Zahar, 2001.
CASTELLS, MANUEL. A sociedade em rede. São Paulo: Paz e Terra, 1999.
CISCO. Cisco 2021 data privacy benchmark study. San Jose: Cisco Systems, 2021.
DAVENPORT, THOMAS H.; HARRIS, JEANNE G. Competing on analytics: the new science of winning. Boston: Harvard Business Review Press, 2007.
GARTNER. Gartner CMO spend survey 2021: strategic priorities for the post-pandemic world. Stamford: Gartner Research, 2021.
HARVARD BUSINESS REVIEW. The age of analytics: competing in a data-driven world. Boston: HBR Analytics Services, 2018.
KAHNEMAN, DANIEL. Rápido e devagar: duas formas de pensar. Rio de Janeiro: Objetiva, 2011.
KOTLER, PHILIP; KARTAJAYA, HERMAWAN; SETIAWAN, IWAN. Marketing 5.0: technology for humanity. Hoboken: Wiley, 2021.
O’NEIL, CATHY. Weapons of math destruction: how big data increases inequality and threatens democracy. New York: Crown, 2016.
PARISER, ELI. The filter bubble: what the internet is hiding from you. New York: Penguin Press, 2011. DOI: https://doi.org/10.3139/9783446431164
PORTER, MICHAEL E. Competitive strategy: techniques for analyzing industries and competitors. New York: Free Press, 1980.
SHARP, BYRON. How brands grow: what marketers don’t know. Oxford: Oxford University Press, 2010.
SIMON, HERBERT A. Designing organizations for an information-rich world. Baltimore: Johns Hopkins Press, 1971.
THALER, RICHARD H.; SUNSTEIN, CASS R. Nudge: improving decisions about health, wealth, and happiness. New Haven: Yale University Press, 2008.
ZUBOFF, SHOSHANA. The age of surveillance capitalism: the fight for a human future at the new frontier of power. New York: PublicAffairs, 2019.
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2024 Samuel Magalhães Pereira da Silva (Autor)

This work is licensed under a Creative Commons Attribution 4.0 International License.


