下载PDF
Local TV Broadcasting Leader in U.S. Optimizes Revenue with Sigma
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 实时分析
- 功能应用 - 远程监控系统
适用行业
- 电信
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
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
挑战
The fourth largest independent TV station owner in the U.S. faced significant challenges with their legacy data analytics architecture. The system required constant administrative oversight, and basic queries took hours to run. Adding new data sources could take up to three months, stifling data exploration and delaying insight discovery. The architecture couldn't handle the volume of data necessary for key revenue-driving reports, leading to abandoned projects. Scale and performance limitations made it impossible to effectively analyze data across sources, with filters taking an hour or more to load. Additionally, the company lacked a way for the BI team to collaborate on analytics with their line of business counterparts or quickly share new insights with TV station leaders.
关于客户
The customer is the fourth largest independent TV station owner in the U.S., operating 60 television stations across 42 markets. They share news and entertainment content and rely heavily on audience engagement metrics and performance data from sources like Nielsen and Comscore. The company ingests and analyzes billions of rows of operational and TV ratings data to understand audience engagement and measure both national and local media group performance. Their primary goal is to optimize content and advertising revenue by leveraging data-driven insights.
解决方案
The company implemented Sigma, a cloud-native BI tool purpose-built for Snowflake and cloud data warehouses. This solution provided direct access to live data in Snowflake, ensuring that everyone was always looking at the same current data. Station leaders gained instant access to the information they needed to make informed decisions while data remained secure in Snowflake. Sigma's unlimited scale and speed allowed the BI team to analyze and filter billions of rows of ratings data across multiple sources without latency delays. The spreadsheet interface of Sigma enabled self-service data exploration, making iterative ad hoc analytics available to anyone. The BI team now has a single source of truth for data and can easily add new sources to analyses without help from the data team, accelerating and improving insights.
运营影响
数量效益
相关案例.
Case Study
Vodafone Hosted On AWS
Vodafone found that traffic for the applications peak during the four-month period when the international cricket season is at its height in Australia. During the 2011/2012 cricket season, 700,000 consumers downloaded the Cricket Live Australia application. Vodafone needed to be able to meet customer demand, but didn’t want to invest in additional resources that would be underutilized during cricket’s off-season.
Case Study
SKT, Construction of Smart Office Environment
SK T-Tower is the headquarters of SK Telecom. Inside the building, different types of mobile devices, such as laptops, smartphones and tablets, are in use, and with the increase in WLAN traffic and the use of quality multimedia data, the volume of wireless data sees an explosive growth. Users want limitless Internet access in various places in addition to designated areas.