Qualcomm speeds time to answers, optimizes core business operations, and puts users in control with QlikView
Customer Company Size
Large Corporate
Region
- America
- Asia
Country
- United States
- India
Product
- QlikView
Tech Stack
- Oracle
- SQL Server
- MySQL
- Excel
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Analytics & Modeling - Real Time Analytics
Use Cases
- Real-Time Location System (RTLS)
- Predictive Maintenance
Services
- Data Science Services
About The Customer
Qualcomm Incorporated is a leader in developing and delivering innovative digital wireless communications products and services based on CDMA and other advanced technologies. The company is headquartered in San Diego, California, and is included in the S&P 100 Index, the S&P 500 Index, and is a 2009 FORTUNE 500 company. Qualcomm is a leading developer and innovator of advanced wireless technologies, products, and services. The company operates in various regions including the United States and India. Qualcomm's product development services organization initially intended to use QlikView for reporting, but its use grew organically as employees began to recognize its potential for functions outside of IT.
The Challenge
Qualcomm, a leading developer and innovator of advanced wireless technologies, products, and services, faced challenges in analyzing the usage of its major enterprise applications. The existing Business Intelligence (BI) tools required up to six months to build each new application, which was time-consuming and inefficient. The team needed a solution that was more rapid and analytically driven to analyze enterprise application usage throughout the company. The search for a solution led Qualcomm Senior Programmer Analyst Steve Rimar to discover QlikView online. He was intrigued by the appealing visual analysis and the ability to rapidly develop new applications.
The Solution
Qualcomm deployed its first QlikView application in one day. With 200 QlikView users, Qualcomm now analyzes chip feature testing, product throughput, and supply chain quality trends – all focused on driving products to market faster. Using QlikView Server (64-bit) and QlikView Publisher, Qualcomm easily supports security and visibility while handling large data volumes. Through QlikView, Qualcomm immediately leveraged the invaluable data that was locked in dozens of different sources to achieve a real-time view of operational performance. Over 100 dashboards and reporting applications have been deployed across 15 business units. These applications have given employees one-click access to information that had previously taken them hours or days to track down.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
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
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.