BI/Analytics/Data scienceFinançasHuman ResourcesInformation TechnologyInteligência do clienteMarketingOperaçõesPlanejamento e análise financeiraSales and ServiceSupply chain
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Indústria0
Ciências da vida e indústria farmacêuticaEducaçãoEnergia e serviços públicosFabricaçãoGestão públicaImobiliárioMídia e entretenimentoOutrosPublic Sector SLEDServiços financeiros: bancosServiços financeiros: segurosServiços profissionaisSetor de saúde e segurosSetor público: DoDSetor público: FEDSetor público: inteligênciaTecnologiaTelecomunicaçõesTransportesTurismo e hotelariaVarejo/bens de consumo embalados
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73
para descobrir
Caso de uso
Sales Pipeline Consolidation and Reporting
Automatically pull data from multiple CRM platforms like Salesforce to power dashboards and reports for evaluating sales rep engagement and pipeline creation.
Leia agora
Caso de uso
Analytics Project Impact Analysis
Maximize the impact of your data science reporting and dashboards through a release process driven by A/B testing.
Leia agora
Caso de uso
Analytics Automation
Enable anyone in your organization to share data, automate processes, and turn data into results.
Leia agora
Caso de uso
Predicting Email Open Rate
Email is the wide end of the sales funnel. Alteryx Machine Learning helps Marketing predict email open rates, so it can concentrate on the most productive leads, channels, and offers.
Data science e machine learning
Leia agora
Caso de uso
Bill Reporting
Give finance teams fast and actionable insights and minimize mundane bill reporting
Leia agora
Caso de uso
Sales Operations and Reporting
Give sales teams fast and actionable insights and close every sales gap
Leia agora
Caso de uso
Service and Support Operations Automated Insights
Give customer service teams fast and actionable insights and close every experience gap
Leia agora
Caso de uso
Real Estate Planning
Consolidate real estate financial data and model the impact of income and expenses on financial statements
Leia agora
Caso de uso
Automation of Management Reporting
Run checks and balances on high-profile data from multiple sources, then prepare and automated reporting dashboards