Ultra Mobile Offers Best-in-Class Customer Service While Keeping the Rapid Pace of User Base and Profitability Growth Intact, Using the Denodo Platform

公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Denodo Platform
- Looker
- Tableau/Power BI
技术栈
- Hadoop
- Cloudera
- MySQL
- SQL Server
- Excel
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 电信
适用功能
- 商业运营
服务
- 数据科学服务
- 系统集成
关于客户
Ultra Mobile is a nationwide mobile virtual network operator (MVNO) based in the U.S., which develops first-of-its-kind mobile phone services to improve customers’ quality of life. Ultra Mobile focuses on delivering convenient, cost-effective, and unlimited talk, text, and data services both within the U.S. and between the U.S. and points around the globe. The company partners with local telecom operators throughout the world to establish a wide variety of contracts to deliver the best value. This approach, coupled with a commitment to provide outstanding customer service and dealer support, fueled Ultra Mobile’s unprecedented growth. In 2015, the company achieved 100,849% growth over three years and was listed on the Inc. 5000 as the fastest growing private company in the United States.
挑战
Ultra Mobile experienced rapid growth, which required a quick evolution of its supporting IT systems. The company implemented a Hadoop-based data warehousing platform to accommodate new application data. However, the platform couldn't produce consumable data structures at the pace that business users required. This required skilled subject matter experts (SME) to manually assemble and cultivate key pieces of information, but this was not sustainable. The company lacked a holistic view of the organization’s data, which was needed for making tough optimization decisions.
解决方案
The BI team established three use cases to test various solutions. First, the solution needed to establish a governance layer that would allow data SMEs to present a cultured business data model to the organization. The solution also needed to insulate users when data migrated from operational systems to the Cloudera data lake. Finally, the solution needed to accelerate the performance of the Impala queries against the Hive structures in the company’s data warehouse. The team settled on a combination of the Denodo Platform, for data virtualization and governance; Looker, as the primary delivery layer; and Tableau/Power BI, as the analyst tools.
运营影响
数量效益
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