No More Data Headaches at Mediahub
公司规模
1,000+
国家
- United States
- Worldwide
产品
- Adverity
技术栈
- AWS
- API connectors
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Revenue Growth
技术
- 基础设施即服务 (IaaS) - 云计算
- 平台即服务 (PaaS) - 数据管理平台
适用功能
- 商业运营
- 销售与市场营销
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Mediahub is a global media planning and buying agency of the MullenLowe Group network, a part of the multinational advertising and marketing company IPG. Launched in 2005, the agency has over 900 employees in 10 countries, and serves clients such as Western Union, Netflix, Formula E, Harley-Davidson, Dropbox, Pinterest, and Twitch. In 2019 Mediahub was named “Media Agency of the Year” by Ad Age. The agency is specialized in providing media data analytics solutions.
挑战
Mediahub, a global media planning and buying agency, was facing daily operational difficulties with handling ad performance data for multiple clients coming from multiple advertising platforms. The agency had employed a full-time data engineer to build an in-house solution with API connectors to fetch data from popular ad platforms and store it into the internal database. However, these APIs would often change or update, sometimes overnight and without prior warning, which would break these connectors. The data engineer had to spend a lot of time and effort in fixing them.
解决方案
Mediahub introduced Adverity as the solution for data integration. Data from advertising platforms such as Google Campaign Manager or Facebook is collected and integrated in Adverity, and then sent to a database hosted on AWS, where it is transformed and sent to various analytics and data visualization tools used throughout the agency. At the moment when the implementation started, Adverity was actually missing one of the key data connectors for Mediahub. However, Adverity quickly built this connector, and within a matter of weeks they did it. Even while building the connector Adverity provided an interim solution to get the data from this platform into the system, with only a slightly lower level of automation.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
