Desarrollo de una plataforma de gestión de datos de clientes como herramienta para marketing dirigido por datos

dc.contributor.advisorRomero Alvarez, Fran Ernesto
dc.contributor.authorRomero Mateus, Carlos Fernando
dc.contributor.authorCastellano Correa, Rasbel Eduardo
dc.contributor.authorSantos Cely, Omar Alejandro
dc.date.accessioned2025-11-19T16:19:58Z
dc.date.issued2025-11
dc.description.abstractProdigy Media S.A.S., agencia dedicada a operar y controlar campañas de marketing digital, sufría datos dispersos, reportes manuales y definiciones inconsistentes entre áreas, lo que generaba demoras, retrabajo y cifras contradictorias. Para resolverlo se diseñó e implementó una Plataforma de Datos de Clientes (CDP) en Google Cloud que centraliza la captura, estandarización y consumo analítico bajo el modelo Medallion (Bronze–Silver–Gold). La ingesta se automatiza con Cloud Scheduler + Cloud Run; Pub/Sub desacopla productores y consumidores; y Dataflow, en streaming, valida reglas de calidad, estandariza al esquema canónico y publica en BigQuery con gobierno y seguridad aplicados en tránsito. El consumo ocurre en Looker Studio mediante vistas versionadas con metadatos de “última actualización”, evitando cálculos en BI y asegurando una única interpretación de métricas. Sobre los datos consolidados se entrenó en BigQuery ML un agrupamiento no supervisado (k=4) que perfila campañas por gasto y rendimiento, apoyando decisiones tácticas de optimización y asignación de presupuesto. La solución reduce reconciliaciones en Excel, acorta la latencia entre evento y decisión, mejora la trazabilidad y habilita auditoría técnica y funcional. Como proyección, la CDP queda preparada para incorporar fuentes reales, ampliar controles de calidad y conectar con plataformas de activación para cerrar el ciclo dato–análisis–acción.
dc.description.abstractenglishProdigy Media S.A.S., an agency dedicated to operating and monitoring digital marketing campaigns, suffered from scattered data, manual reporting, and inconsistent definitions across departments, leading to delays, rework, and contradictory figures. To resolve this, a Customer Data Platform (CDP) was designed and implemented on Google Cloud. This platform centralizes data capture, standardization, and analytical consumption using the Medallion model (Bronze–Silver–Gold). Data ingestion is automated with Cloud Scheduler and Cloud Run; Pub/Sub decouples producers and consumers; and Dataflow, in streaming, validates quality rules, standardizes to the canonical schema, and publishes to BigQuery with governance and security applied in transit. Consumption occurs in Looker Studio using versioned views with "last updated" metadata, eliminating calculations in BI and ensuring a single interpretation of metrics. An unsupervised clustering (k=4) was trained on the consolidated data in BigQuery ML to profile campaigns by spend and performance, supporting tactical optimization and budget allocation decisions. The solution reduces reconciliations in Excel, shortens the latency between event and decision, improves traceability, and enables technical and functional auditing. Looking ahead, the CDP is now ready to incorporate real-world data sources, expand quality controls, and connect with activation platforms to close the data-analysis-action cycle.
dc.description.degreelevelPregradospa
dc.description.degreenameIngeniero de Sistemasspa
dc.format.mimetypeapplication/pdf
dc.identifier.instnameinstname:Universidad El Bosquespa
dc.identifier.reponamereponame:Repositorio Institucional Universidad El Bosquespa
dc.identifier.repourlrepourl:https://repositorio.unbosque.edu.co
dc.identifier.urihttps://hdl.handle.net/20.500.12495/18173
dc.language.isoes
dc.publisher.facultyFacultad de Ingenieríaspa
dc.publisher.grantorUniversidad El Bosquespa
dc.publisher.programIngeniería de Sistemasspa
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dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.accessrightshttps://purl.org/coar/access_right/c_abf2
dc.rights.localAcceso abiertospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.source.urlhttps://youtu.be/kC2-KOb44aI?si=Q0XM7jU39fpqRhfh
dc.subjectComputación en la nube
dc.subjectGobierno de datos
dc.subjectMarketing basado en datos
dc.subjectPlataforma de datos de clientes
dc.subjectSegmentación de clientes
dc.subject.ddc621.3
dc.subject.keywordsCloud computing
dc.subject.keywordsData governance
dc.subject.keywordsData-driven marketing
dc.subject.keywordsCustomer data platform
dc.subject.keywordsCustomer segmentation
dc.titleDesarrollo de una plataforma de gestión de datos de clientes como herramienta para marketing dirigido por datos
dc.title.translatedDevelopment of a customer data management platform as a tool for data-driven marketing
dc.type.coarhttps://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttps://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.driverinfo:eu-repo/semantics/bachelorThesis
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersion
dc.type.localTesis/Trabajo de grado - Monografía - Pregradospa

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