Powering Smart Media Buys with Sisense
公司规模
Mid-size Company
地区
- America
国家
- United States
产品
- Sisense
- Tableau
技术栈
- PHP
- .Net
- Oracle
- MySQL
- MongoDB
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Innovation Output
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据可视化
适用功能
- 商业运营
- 销售与市场营销
用例
- 实时定位系统 (RTLS)
服务
- 系统集成
- 软件设计与工程服务
关于客户
Ignite Media Solutions is dedicated to enhancing the customer experience by partnering with clients to maximize the effectiveness of media expenditures. They help their partners improve brand performance, sales, and profitability through innovative tools and technology at every point of the consumer lifecycle. The company processes massive amounts of data, including transaction, demographic, and media performance data, to provide valuable insights and reporting. With a focus on improving customer experience and media effectiveness, Ignite Media Solutions is a key player in the media and entertainment industry.
挑战
Ignite Media processes massive amounts of data, maintaining approximately 3 TB of transaction, demographic, and media performance data. They had been building all their reporting internally using PHP and .Net, but it was becoming increasingly difficult to scale. Writing new reports from scratch to follow a 'hunch' could take weeks, making it impractical to test new ideas. The company had valuable data but lacked the resources to fully leverage it. Mazda Ebrahimi, the VP of Application Development, sought a solution that would allow them to produce results faster and more easily without sacrificing their intellectual property.
解决方案
Mazda Ebrahimi tested various solutions, including Tableau, before selecting Sisense for its ease of use, power, cost-effectiveness, and support. He set up a virtual machine with 128GB of RAM and loaded a table with 320 million rows and 500 columns for processing. Sisense was installed and set up within hours, and the results were nearly instantaneous for any queries. Ebrahimi created Elasticubes centered around specific topics, allowing analysts to work within those cubes without creating multiple reports. The system maintains these subsetted views of the data, enabling clients and internal users to use predefined dashboards to browse and customize queries. Sisense simplified complex data relationships by creating 'views' stored in the database, allowing users to create new cubes quickly and easily.
运营影响
数量效益
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