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Single View of Customer Data

Adquirir, aumentar y retener clientes con una visión única de los datos

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Overview

Businesses understand that the single view of customer delivers integrated and unified representation of all data for a complete and contextual understanding of customer behavior. Legacy data systems have been built with a one-to-one relationship between the end application and storage platform. For example, an accounting team manages a payment system with its database, the customer care team stores call logs in a CRM system, and a clinic stores patient data in an EMR platform. 
ApacheHadoop® helps create a single view of customer data and uncovers value that might have been within reach, but scattered across multiple interactions, channels, groups and platforms. Organizations can now leverage single customer view benefits like insights to better target, acquire and retain customers, identify opportunities, overcome challenges and grow revenues.

UNA VISIÓN ÚNICA ABRE NUEVOS CAMINOS AL VALOR

ADQUIRIR NUEVOS CLIENTES

Bring together customer and market data from new sources to target the best prospects. Tailor products to address emerging market opportunities and shifting customer tastes--both at the aggregate and individual levels.

One of the world’s largest retail websites generates 100s of megabytes of clickstream data every hour, but the ad impression and clickstream data were stored in separate platforms. By unifying data in HDP for single view of customer, the retailer optimized ad placement and improved its customer web experience.

Anunciantes con Hadoop »

FOMENTAR LAS RELACIONES EXISTENTES

Reunir datos fragmentados en silos por diferentes productos y unidades de negocios para predecir mejor el siguiente producto a comprar. Identificar y cerrar oportunidades de venta con clientes existentes.

Una importante empresa de telecomunicaciones utiliza HDP para inferir en datos demográficos más allá del titular de la cuenta principal con el fin de aumentar los ingresos de venta cruzada. Al combinar los datos de clientes con la información sobre cuentas auxiliares, adquieren una visión más clara de sus clientes y sirven mejor a sus necesidades.

Libro blanco de Telco »

RETENER CLIENTES VALIOSOS

Consolidate existing data with new data types and deliver consistency across different analytic tools. Coordinate and enrich customer-facing activities across multiple touch points to improve the overall customer experience.

A major retailer uses HDP to combine customer data across every system for a single view of customer. This allows the company to personalize service, improving the customer experience and increasing lifetime customer value.

Libro blanco para minoristas »

CASOS DE USO DE VISIÓN ÚNICA

CASO DE USO 1
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VISUALIZAR DATOS DE NAVEGACIÓN WEB

How do you improve the chances that your online customers will complete a purchase? Hadoop makes it easier to analyze and then change how visitors behave on your website. Here you can see how an online retailer optimized buying paths to reduce bounce rates and improve conversions. HDP can help you capture and refine website clickstream data for a single view of customer to exceed your company’s e-commerce goals. The tutorial that comes with this video describes how to refine raw clickstream data using HDP.

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CASO DE USO 2
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ANALIZAR MEDIOS SOCIALES Y SENTIMIENTO DE CLIENTES

With Hadoop, you can mine Twitter, Facebook and other social media conversations to analyze customer sentiment about you and your competition. With more social Big Data, you can make more targeted, real-time, decisions. The tutorial that comes with this video describes how to refine raw Twitter data using HDP.

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