Exploiting big data value with Qlik Sense
公司规模
1,000+
国家
- Worldwide
产品
- Qlik Sense
技术栈
- SaaS
- Data Visualization
- Self-service BI
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 应用基础设施与中间件 - 数据可视化
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 航天
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
Amadeus is a leading provider of SaaS solutions for the airline industry. The company operates on a global scale, serving customers worldwide. Their services are integral to the operations of many airlines, providing essential software and data solutions. Amadeus' applications generate large volumes of data, which the company sought to leverage for improved insights and decision-making. The company's goal was to find a solution that could reconcile and analyze this data, producing valuable KPIs that could drive their business forward.
挑战
Amadeus, a leader in SaaS solutions for the airline industry, generates large volumes of data across its various applications. The company faced the challenge of reconciling and analyzing all of this data to produce attractive KPIs. They needed a solution that could handle the large data volumes and provide valuable insights for their operations.
解决方案
Amadeus integrated several Qlik Sense apps into their offer. These included Market Insights for the analysis of booking, traffic, and schedules, allowing customers to benchmark their performance. They also included Performance Insights for sales analysis, Revenue Management, and Marketing, enabling customers to analyze their own data. This solution provided Amadeus with the ability to handle large data volumes and offer self-service BI to their users. The dynamic analysis and data visualization capabilities of Qlik Sense also contributed to increased efficiency and responsiveness.
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Aerospace & Defense Case Study Airbus
For the development of its new wide-body aircraft, Airbus needed to ensure quality and consistency across all internal and external stakeholders. Airbus had many challenges including a very aggressive development schedule and the need to ramp up production quickly to satisfy their delivery commitments. The lack of communication extended design time and introduced errors that drove up costs.
Case Study
Developing Smart Tools for the Airbus Factory
Manufacturing and assembly of aircraft, which involves tens of thousands of steps that must be followed by the operators, and a single mistake in the process could cost hundreds of thousands of dollars to fix, makes the room for error very small.
Case Study
Accelerate Production for Spirit AeroSystems
The manufacture and assembly of massive fuselage assemblies and other large structures generates a river of data. In fact, the bill of materials for a single fuselage alone can be millions of rows of data. In-house production processes and testing, as well as other manufacturers and customers created data flows that overwhelmed previous processes and information systems. Spirit’s customer base had grown substantially since their 2005 divestiture from Boeing, resulting in a $41 billion backlog of orders to fill. To address this backlog, meet increased customer demands and minimize additional capital investment, the company needed a way to improve throughput in the existing operational footprint. Spirit had a requirement from customers to increase fuselage production by 30%. To accomplish this goal, Spirit needed real-time information on its value chain and workflow. However, the two terabytes of data being pulled from their SAP ECC was unmanageable and overloaded their business warehouse. It had become time-consuming and difficult to pull aggregate data, disaggregate it for the needed information and then reassemble to create a report. During the 6-8 hours it took to build a report, another work shift (they run three per day) would have already taken place, thus the report content was out-of-date before it was ever delivered. As a result, supervisors often had to rely on manual efforts to provide charts, reports and analysis.
