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Adverity > 实例探究 > How a Leading Technology Communications Company Transformed Campaign Data Reporting and Reduced Wasted Time by 75%
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How a Leading Technology Communications Company Transformed Campaign Data Reporting and Reduced Wasted Time by 75%

技术
  • 分析与建模 - 数据即服务
适用行业
  • 电信
适用功能
  • 销售与市场营销
服务
  • 系统集成
挑战
Vodafone Italy’s digital marketing team was facing a challenge in linking online prospect activities with lead, sales, and activation data handled offline by many call centers using different CRMs. In a highly competitive market, data reporting and analysis for decision making was often manual and time-consuming. The goal was to unify offline and online data sources and hence extract and analyze actual campaign performances quickly, easily and in a self-service way for various stakeholders.
关于客户
The customer in this case study is Vodafone Italy, a leading technology communications company. Vodafone Italy operates in a highly competitive market, where data reporting and analysis for decision making is crucial. The company's digital marketing team was struggling with the challenge of linking online prospect activities with lead, sales, and activation data that was handled offline by many call centers using different CRM systems. The goal was to unify offline and online data sources to extract and analyze actual campaign performances quickly, easily, and in a self-service way for various stakeholders.
解决方案
The solution involved creating an end-to-end single source of truth for all digital marketing, call centers, sales, and provisioning data sources. This was achieved through the seamless integration into Power BI, the existing BI analytics stack. The solution provided the ability to generate a faster and more valuable analysis for all stakeholders. It also ensured secure access to business-ready data from any destination. The solution automated data integration across multiple CRM systems and data stores, provided secure and tailored data access for different levels of stakeholders, and seamlessly integrated with existing BI/analytics solutions.
运营影响
  • Automated processes saved half a day per week for a data team of 20+ people
  • Reduced time needed to assemble and analyze campaign performance data by one week per month
  • BI-ready data stack across all sources that's always up-to-date
数量效益
  • Reduced time needed to assemble and analyze campaign performance data by one week per month
  • Automated processes saved half a day per week for a data team of 20+ people
  • Significant cost savings compared to other solutions available on the market

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