Cardinal Health: Driving Advances in Healthcare Through Self-Service Data Analytics
公司规模
1,000+
地区
- America
国家
- United States
产品
- AtScale’s Semantic Layer
- Google BigQuery
- Excel
- Tableau
技术栈
- Data Analytics
- Business Intelligence Tools
- Data Governance
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 数据即服务
- 分析与建模 - 实时分析
适用行业
- 医疗保健和医院
适用功能
- 商业运营
用例
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 数据科学服务
- 系统集成
关于客户
Cardinal Health is a multinational healthcare services company that strives to advance healthcare and improve lives every day. Through the use of data-driven insights, the company has scaled its services to nearly 90% of U.S. hospitals, 60,000 pharmacies, and 10,000 physicians' offices and clinics. The company grew rapidly through acquisitions over the years, so Cardinal Health relied on a fragmented set of systems that were difficult to manage and govern effectively.
挑战
Cardinal Health, a multinational healthcare services company, had a fragmented set of systems due to a series of acquisitions. This made managing and accessing data complicated. The company needed to forecast six months in advance to make sound business decisions, but business analysts across the pharmaceutical, corporate, and medical business lines didn’t have easy access to data for analytics and reporting. In addition, many business systems analysts (BSAs) were using shadow IT or unapproved applications to track metrics. As Cardinal Health moved into the future, the company needed to simplify its data landscape to streamline data and analytics access throughout the organization.
解决方案
Cardinal Health chose to leverage Google BigQuery and AtScale’s Semantic Layer, which allows business users to access data using business intelligence (BI) tools like Excel and Tableau. That means business users now perform self-service analytics using the BI tool of their choice. Moreover, AtScale enables data sharing in a way that wasn’t possible before. In the past, Cardinal Health’s major business lines — pharmaceutical, corporate, and medical — were managing data separately in a variety of systems. By implementing a semantic layer, the company is now able to more easily share this disparate data to generate better overall business insights.
运营影响
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