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Customer Intelligence with Alpine Chorus
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据可视化
适用功能
- 销售与市场营销
用例
- 质量预测分析
服务
- 数据科学服务
挑战
Havas Media, a fast-growing media agency with over $2 billion in annual revenue, was facing a challenge in the media buying market. Clients wanted to understand each step of the media buying process, including where their money was going, why it should be going there, and the results of their investments. Havas Media's previous approach involved a team of SQL programmers to prepare the data and SAS programmers to interrogate it. This process was not only time-consuming but also not client-facing. Havas Media was in search of a software that would allow both technical and non-technical users to easily conduct analytics and explain these findings to clients.
关于客户
Havas Media is the fastest growing media agency in the world, with over $2 billion in annual revenue. The company's clients include high-profile names such as PayPal, TD Ameritrade, Nike, and Coca-Cola. Havas Media offers a range of services, including media strategy, international management, social media, and more. The company operates in a highly competitive media buying market, where clients demand transparency and understanding of each step of the media buying process. Havas Media was looking for a more streamlined and customer-facing method to perform analytics on their data, which led them to adopt Alpine Chorus.
解决方案
Havas Media adopted Alpine Chorus, a solution that enabled them to lift the veil on its decision-making process for clients through transparent data visualization and discovery. Alpine Chorus allowed Havas to replace thousands of lines of code with two visual workflows, shortening a process that once took months to hours. The software's drag-and-drop interface made it easy for Havas to expand its analytics involvement from exclusively data scientists to their over 500 analysts around the world and clients to reach an optimized campaign. Alpine Chorus also offered a layer of security by running in database on top of Havas’ data warehouse.
运营影响
数量效益
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