Faster Analytics from Incorta Increases Employee Productivity at Major U.S. University
公司规模
1,000+
地区
- America
国家
- United States
产品
- Incorta's enterprise analytics
技术栈
- Oracle E-Business Suite
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Revenue Growth
技术
- 分析与建模 - 实时分析
适用行业
- 教育
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
关于客户
The customer is a top ten U.S. university, as ranked by U.S. News and World Report. The university is renowned for its ground-breaking research and offers a full range of undergraduate majors, master’s, and doctoral programs. The university's diverse environment is comprised of three major components—administration, research, and the student community—and is run much like a small city due to its size and complexity. The Land and Buildings Department manages the university’s facilities, including plumbing and electrical systems. When maintenance is needed, a work order is generated within Oracle E-Business Suite (EBS).
挑战
The Land and Buildings Department at a top ten U.S. university was facing significant delays in accessing analytics, which was reducing revenue and negatively impacting their budget. With over 300 buildings to manage, the department generates work orders within Oracle E-Business Suite (EBS) for maintenance tasks. However, the existing BI tool was slow in pulling data from EBS, causing delays in work completion. Technicians would sometimes wait up to 15 minutes for a response to basic queries, eating into their billable time.
解决方案
The university's Central IT Department evaluated Incorta's enterprise analytics to solve the Land and Building’s reporting problems. Incorta was selected for its accelerated speed of implementation, blazing-fast performance, ease of implementation and management, and its ability to switch seamlessly between Oracle transactions and Incorta analytics with a single sign-on (SSO). Incorta provides real-time aggregation of large, complex business data, eliminating the need for a data warehouse and, therefore, the need to extract, transform, and load (ETL) data. This allows new analytic applications to be rolled out in days instead of months and reduces query and reporting run times from minutes to seconds. Incorta is updated every 15 minutes, providing more current information than the previous system.
运营影响
数量效益
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