Optimizing Customer Classification for Fortech International

Este informe presenta una investigación exhaustiva para abordar los objetivos asignados por Fortech International. Los objetivos principales incluyeron identificar datos adicionales relevantes para la calificación de leads, determinar el proceso óptimo para obtener estos datos y establecer métodos s...

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Fecha de publicación:: 2024

Institución:: Universidad del Rosario

Repositorio:: Repositorio EdocUR - U. Rosario

Idioma:: spa

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network_name_str	Repositorio EdocUR - U. Rosario
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dc.title.none.fl_str_mv	Optimizing Customer Classification for Fortech International
dc.title.TranslatedTitle.none.fl_str_mv	Optimización de la Clasificación de Clientes de Fortech International
title	Optimizing Customer Classification for Fortech International
spellingShingle	Optimizing Customer Classification for Fortech International Clasificación Fortech International Calificación Leads Adquisición Datos Verificación Calidad Herramientas IA Scraping Web Automatización Precisión Datos Confiabilidad Datos Optimización Procesos Mejora Eficiencia Integración Flujo Trabajo Procesos Empresariales Innovación Cliente Classification Fortech International Lead Qualification Data Acquisition Quality Verification AI Tools Web Scraping Automation Data Accuracy Data Reliability Process Optimization Efficency Improvement Workflow Integration Business Processes Innovation Customer
title_short	Optimizing Customer Classification for Fortech International
title_full	Optimizing Customer Classification for Fortech International
title_fullStr	Optimizing Customer Classification for Fortech International
title_full_unstemmed	Optimizing Customer Classification for Fortech International
title_sort	Optimizing Customer Classification for Fortech International
dc.subject.none.fl_str_mv	Clasificación Fortech International Calificación Leads Adquisición Datos Verificación Calidad Herramientas IA Scraping Web Automatización Precisión Datos Confiabilidad Datos Optimización Procesos Mejora Eficiencia Integración Flujo Trabajo Procesos Empresariales Innovación Cliente
topic	Clasificación Fortech International Calificación Leads Adquisición Datos Verificación Calidad Herramientas IA Scraping Web Automatización Precisión Datos Confiabilidad Datos Optimización Procesos Mejora Eficiencia Integración Flujo Trabajo Procesos Empresariales Innovación Cliente Classification Fortech International Lead Qualification Data Acquisition Quality Verification AI Tools Web Scraping Automation Data Accuracy Data Reliability Process Optimization Efficency Improvement Workflow Integration Business Processes Innovation Customer
dc.subject.keyword.none.fl_str_mv	Classification Fortech International Lead Qualification Data Acquisition Quality Verification AI Tools Web Scraping Automation Data Accuracy Data Reliability Process Optimization Efficency Improvement Workflow Integration Business Processes Innovation Customer
description	Este informe presenta una investigación exhaustiva para abordar los objetivos asignados por Fortech International. Los objetivos principales incluyeron identificar datos adicionales relevantes para la calificación de leads, determinar el proceso óptimo para obtener estos datos y establecer métodos sólidos de verificación de calidad. Nuestro enfoque involucró una revisión detallada de varias herramientas de inteligencia artificial y técnicas de scraping web para automatizar eficazmente estos procesos. La investigación abarcó múltiples aspectos de la adquisición de datos, asegurando la precisión y confiabilidad de los mismos mediante métodos de verificación meticulosos. Desarrollamos un flujo detallado de datos para los procesos de calificación y verificación, y evaluamos diversas herramientas disponibles para estas tareas. Además, nos centramos en la automatización de estos procesos para mejorar la eficiencia. Basándonos en nuestros hallazgos, proporcionamos recomendaciones prácticas para que Fortech las implemente. Estas recomendaciones tienen como objetivo optimizar el proceso de calificación de leads, mejorar la calidad de los datos e integrar la automatización en su flujo de trabajo de manera efectiva. Al adoptar estas recomendaciones, Fortech puede lograr un sistema más eficiente y confiable para la calificación y verificación de leads, asegurando que sus procesos empresariales se mantengan actualizados con la información y altamente innovadores.
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-12-02T18:34:22Z
dc.date.available.none.fl_str_mv	2024-12-02T18:34:22Z
dc.date.created.none.fl_str_mv	2024-07-15
dc.type.none.fl_str_mv	bachelorThesis
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_7a1f
dc.type.document.none.fl_str_mv	Trabajo de grado
dc.type.spa.none.fl_str_mv	Trabajo de grado
dc.identifier.uri.none.fl_str_mv	https://repository.urosario.edu.co/handle/10336/44237
url	https://repository.urosario.edu.co/handle/10336/44237
dc.language.iso.none.fl_str_mv	spa
language	spa
dc.rights.*.fl_str_mv	Attribution 4.0 International
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.none.fl_str_mv	Abierto (Texto Completo)
dc.rights.uri.*.fl_str_mv	http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv	Attribution 4.0 International Abierto (Texto Completo) http://creativecommons.org/licenses/by/4.0/ http://purl.org/coar/access_right/c_abf2
dc.format.extent.none.fl_str_mv	149 PP
dc.format.mimetype.none.fl_str_mv	application/pdf
dc.publisher.none.fl_str_mv	Universidad del Rosario
dc.publisher.department.none.fl_str_mv	Escuela de Administración
dc.publisher.program.none.fl_str_mv	Administración de Negocios Internacionales
publisher.none.fl_str_mv	Universidad del Rosario
institution	Universidad del Rosario
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(December 7, 2023), “Is web scraping illegal?”, (accessed March 23, 2024) https://www.imperva.com/blog/is-web-scraping-illegal/#:~:text=While%20web%20scraping%20is%20not,website%20may%20be%20deemed%20illegal. Holcombe J. (September 18, 2023), “What is web scraping? How to legally extract web content. Kinsta®.”, (accessed March 19, 2024) https://kinsta.com/knowledgebase/what-is-web-scraping/#:~:text=Web%20scraping%20refers%20to%20the,the%20web%20to%20index%20websites. IBM (2024), “Analytics Tools and Solutions”, (accessed May 17, 2024), https://www.ibm.com/analytics . KumarVivek. (2022, August 30). Dynamics 365 REST APIs - Dynamics 365 REST API. Microsoft Learn. https://learn.microsoft.com/en-us/rest/dynamics365/ Leadfeeder (2024), “About Leadfeeder”, (accessed March 13, 2024), https://www.leadfeeder.com/company/. Leadfeeder (2024), “Pricing suited for your business”, (accessed April 18, 2024), https://www.leadfeeder.com/pricing/. Lusha (2024), “Pricing”, (accessed May 6, 2024), https://www.lusha.com/pricing/. Lusha (2024), “Reach the right decision makers”, (accessed March 13, 2024), https://www.lusha.com. MadKudu Inc. (2024), “Product”, (accessed May 6, 2024), https://www.madkudu.com. Mention (2024), “How to set up and optimize google alerts: the ultimate guide”, (accessed April 18, 2024), https://mention.com/en/blog/how-to-set-up-google-alerts/#:~:text=Google%20Alerts%20is%20Free,no%20catches%20or%20hidden%20costs Mozenda (2024), “Pricing for Business and Individuals”, (accessed June 21, 2024), Mozenda Pricing - Pricing for Business and Individuals Mozenda (2024), “Scalable Web Data Extraction”, (accessed April 23, 2024), Mozenda - Scalable Web Data Extraction Software & Services . Ocean.io (2024), “Custom pricing to match your strategy”, (accessed April 18, 2024), https://www.ocean.io/pricing. Ocean.io (2024), “Solutions for Sales”, (accessed March 13, 2024), https://www.ocean.io/solutions-for-sales. Octoparse (2024), “Pricing Octoparse”, (accessed June 21, 2024), Pricing \| Octoparse . Octoparse (2024), “Web scraping tool & free web crawlers”, (accessed April 7, 2024), Web Scraping Tool & Free Web Crawlers \| Octoparse . Octopus CRM (2024), “The all-in-one linked in automation tool”, (accessed April 18, 204), https://octopuscrm.io/trackingId=XtBhIQo0GcBds3GVEGwlwFhTZLDaxpoT&gad_source=1&gclid=EAIaIQobChMIvua6mICDhQMVR6WDBx2JEAGlEAAYAyAAEgJ0dPD_BwE. Octopus CRM (2024), “The All-In-One LinkedIn Automation Tool”, (accessed March 13, 2024), https://octopuscrm.io/trackingId=XtBhIQo0GcBds3GVEGwlwFhTZLDaxpoT&gad_source=1&gclid=EAIaIQobChMIvua6mICDhQMVR6WDBx2JEAGlEAAYAyAAEgJ0dPD_BwE. Overloop (2024), “Plans & Pricing”, (accessed April 18, 2024), https://overloop.com/pricing/. Pactum AI Inc. (2024), “Pactum’s Negotiation Suite”, (accessed May 6, 2024), https://pactum.com/product/. Pactum AI Inc. (2024), “Purchasing Negotiations”, (accessed May 6, 2024), https://pactum.com/purchasing/. ParseHub (2024), “A free web scraper that is easy to use”, (accessed April 7, 2024), ParseHub \| Free web scraping - The most powerful web scraper . ParseHub (2024), “ParseHub Pricing – Free plan and paid subscriptions”, (accessed June 21, 2024), ParseHub Pricing \| Free plan and paid subscriptions. Phecke. (2022b, March 21). Use the Dynamics 365 Customer Engagement Web API (Developer Guide for Dynamics 365 Customer Engagement (on-premises)). Microsoft Learn. https://learn.microsoft.com/en-us/dynamics365/customerengagement/on-premises/developer/use-microsoft-dynamics-365-web-api?view=op-9-1 Power BI (2024), “Datenvisualisierung \| Microsoft Power Platform.”, (accessed June 24, 2024), https://www.microsoft.com/de-de/power-platform/products/power-bi/?market=de. Power BI (2024), “Pricing Plan \| Microsoft Power Platform”, (accessed June 24, 2024), https://www.microsoft.com/en-us/power-platform/products/power-bi/pricing#Licensing-guide. Qlik (2024), “Cloud Analytics Plans and Pricing.”, (accessed June 24, 2024), https://www.qlik.com/us/pricing. Qlik Sense (2024),” Moderne Cloud Analytics.”, (accessed June 24, 2024), https://www.qlik.com/de-de/products/qlik-sense . RichRelevance (2022), “Create Personalized Experiences Across The Customer Journey”, (accessed May 6, 2024), https://richrelevance.com/products/. RocketReach (2024), “Find email, phone & social media for 450M+ professionals”, (accessed March 18, 2024), https://rocketreach.co/pricing RocketReach (2024), “Reach Professional Contacts with Confidence”, (accessed March 18, 2024), https://rocketreach.co/. Rows (2024), “What’s Rows”, (accessed March 20, 2024), https://rows.com/docs/what-is-rows. Rows.com (2024), “Upgrade to a better spreadsheet. Rows has integration, AI and sharing.”, (accessed April 18, 2024), https://rows.com/pricing. SaaSworthy.com (2024), “Saleswhale Pricing”, (accessed May 6, 2024), https://www.saasworthy.com/product/saleswhale/pricing. Sales pricing. (2024). Microsoft Dynamics 365. https://www.microsoft.com/en-us/dynamics-365/products/sales/pricing Salesforce (2024), “CRM Analytics: Salesforce Data Analytics”, (accessed May 17, 2024), https://www.salesforce.com/mx/products/einstein-analytics/overview/ . Salesforce (2024), “Testen Sie die Salesforce Starter Suite – kostenlos”, (accessed May 17, 2024), https://www.salesforce.com/de/?ir=1 . Saleswhale (2024), “Getting started with Saleswhale”, (accessed May 6, 2024), https://support.saleswhale.com/en/articles/3915427-getting-started-with-saleswhale. Snov.io (2024), “Sales automation & acceleration at scale”, (accessed March 18, 2024), https://snov.io/. Snov.io (2024), Pricing, “Boost your sales today”, (accessed March 18, 2024) https://snov.io/pricing Tableau (2024), “Start with data. Move forward with Tableau.”, (accessed June 24, 2024), https://www.tableau.com/ . Tableau (2024), Pricing, “Decide the right mix of users for your team”, (accessed June 24, 2024), https://www.tableau.com/pricing/teams-orgs . TechnologyAdvice (2024), “Prospect.io”, (accessed March 13, 2024), https://technologyadvice.com/products/prospect-io-reviews/. UpLead (2024), Plans & Pricing, (accessed March 16, 2024), https://www.uplead.com/pricing/ . UpLead. (2024, February 14). “UpLead: B2B Database & Business Contact Data provider”, (accessed March 16, 2024), https://www.uplead.com/. Vladikder. (2024, 2. April). Salesforce Einstein analytics: a complete guide. Revenue Grid: Revenue Operations And Intelligence Platform, (accessed May 18, 2024), https://revenuegrid.com/blog/einstein-analytics/ . WebHarvy (2024), “Purchase WebHarvy”, (accessed June 21, 2024), Purchase WebHarvy . WebHarvy (2024), “Visual Web Scraping Software”, (accessed April 23, 2024), WebHarvy Web Scraping Software - Easy to use Web Scraper . ZenRows (2024), “Best Web scraping Toolkit”, (accessed April 23, 2024), Best Web Scraping Toolkit - ZenRows . ZenRows (2024), “Pricing – Web Scraping API & Proxy Server”, (accessed June 21, 2024), Pricing - Web Scraping API & Proxy Server - ZenRows . ZenRows. (April 17, 2023), “8 Best Web Scraping Tools in 2024: Compared and Ranked. ZenRows” (accessed April 7, 2024) https://www.zenrows.com/blog/web-scraping-tools#web-scraping-tools-types . Zyte (2024), „Full-Stack Web Scraping API and World-Class Data Extraction Services”, (accessed April 15, 2024), Full-Stack Web Scraping API and World-Class Data Extraction Services \| Zyte . Zyte (2024), “Pricing”, (accessed June 21, 2024), Pricing \| Zyte .
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spelling	934795f7-c26d-4bb2-9c93-1053e54283fb-1b5c7029b-9445-4232-9c08-a89c30e41984-153280064-018a-4d89-85c8-4ddad3204f04-182efe804-1c40-4995-8c27-442378893287-1d4927e2a-2245-451a-bd8b-1281ce169486-1e458585a-f6b1-46e1-a0c5-b06e89efb469-12024-12-02T18:34:22Z2024-12-02T18:34:22Z2024-07-15Este informe presenta una investigación exhaustiva para abordar los objetivos asignados por Fortech International. Los objetivos principales incluyeron identificar datos adicionales relevantes para la calificación de leads, determinar el proceso óptimo para obtener estos datos y establecer métodos sólidos de verificación de calidad. Nuestro enfoque involucró una revisión detallada de varias herramientas de inteligencia artificial y técnicas de scraping web para automatizar eficazmente estos procesos. La investigación abarcó múltiples aspectos de la adquisición de datos, asegurando la precisión y confiabilidad de los mismos mediante métodos de verificación meticulosos. Desarrollamos un flujo detallado de datos para los procesos de calificación y verificación, y evaluamos diversas herramientas disponibles para estas tareas. Además, nos centramos en la automatización de estos procesos para mejorar la eficiencia. Basándonos en nuestros hallazgos, proporcionamos recomendaciones prácticas para que Fortech las implemente. Estas recomendaciones tienen como objetivo optimizar el proceso de calificación de leads, mejorar la calidad de los datos e integrar la automatización en su flujo de trabajo de manera efectiva. Al adoptar estas recomendaciones, Fortech puede lograr un sistema más eficiente y confiable para la calificación y verificación de leads, asegurando que sus procesos empresariales se mantengan actualizados con la información y altamente innovadores.This report presents a comprehensive investigation to address the objectives assigned by Fortech International. The primary goals included identifying relevant additional data for lead qualification, determining the optimal process for obtaining this data, and establishing robust quality verification methods. Our approach involved an in-depth review of various AI tools and web scraping techniques to automate these processes effectively. The research covered multiple aspects of data acquisition, ensuring data accuracy and reliability through meticulous verification methods. We developed a detailed flow of data for the qualification and verification processes and evaluated various tools available for these tasks. Additionally, we focused on the automation of these processes to enhance efficiency. Based on our findings, we provided practical recommendations for Fortech to implement. These recommendations aim to streamline the lead qualification process, improve data quality, and integrate automation into their workflow effectively. By adopting these recommendations, Fortech can achieve a more efficient and reliable system for lead qualification and verification, ensuring that their business processes remain up to date with the information and highly innovative.149 PPapplication/pdfhttps://repository.urosario.edu.co/handle/10336/44237spaUniversidad del RosarioEscuela de AdministraciónAdministración de Negocios InternacionalesAttribution 4.0 InternationalAbierto (Texto Completo)EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DEL ROSARIO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. -------------------------------------- POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DEL ROSARIO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. 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ZenRows” (accessed April 7, 2024) https://www.zenrows.com/blog/web-scraping-tools#web-scraping-tools-types .Zyte (2024), „Full-Stack Web Scraping API and World-Class Data Extraction Services”, (accessed April 15, 2024), Full-Stack Web Scraping API and World-Class Data Extraction Services \| Zyte .Zyte (2024), “Pricing”, (accessed June 21, 2024), Pricing \| Zyte .instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURClasificaciónFortech InternationalCalificación LeadsAdquisición DatosVerificación CalidadHerramientas IAScraping WebAutomatizaciónPrecisión DatosConfiabilidad DatosOptimización ProcesosMejora EficienciaIntegración Flujo TrabajoProcesos EmpresarialesInnovaciónClienteClassificationFortech InternationalLead QualificationData AcquisitionQuality VerificationAI ToolsWeb ScrapingAutomationData AccuracyData ReliabilityProcess OptimizationEfficency ImprovementWorkflow IntegrationBusiness ProcessesInnovationCustomerOptimizing Customer Classification for Fortech InternationalOptimización de la Clasificación de Clientes de Fortech InternationalbachelorThesisTrabajo de gradoTrabajo de gradohttp://purl.org/coar/resource_type/c_7a1fCórdoba Correa, María CamilaBanai, ZsomborHaugsberger, BarbaraHeindl, Sophia MarieShulhai, ValentynaWinkler, LeoniAdministrador de Negocios InternacionalesAdministrador de Negocios InternacionalesPregradoEscuela de AdministraciónORIGINALOptimizing_Cordoba_Correa_Maria_Camila.pdfOptimizing_Cordoba_Correa_Maria_Camila.pdfapplication/pdf2348292https://repository.urosario.edu.co/bitstreams/2d54338b-c637-412a-bef8-80576290509f/download7b53f1163217501428797faa9caac31eMD511Anexos_Optimizing_Cordoba_Correa_Maria_Camila.pdfAnexos_Optimizing_Cordoba_Correa_Maria_Camila.pdfapplication/pdf477698https://repository.urosario.edu.co/bitstreams/1ab45e19-2c7d-4821-87db-3008232c85dd/download4921669bfa4da4e8ed3c8453c8099dc1MD510LICENSElicense.txtlicense.txttext/plain1483https://repository.urosario.edu.co/bitstreams/6c601baf-ce91-4cd0-84c6-aa00354de816/downloadb2825df9f458e9d5d96ee8b7cd74fde6MD58CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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Optimizing Customer Classification for Fortech International

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