How Boeing Reduced Operational Deficiencies By Enhancing Data Visibility
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Dundas BI
Tech Stack
- Business Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Analytics & Modeling - Data-as-a-Service
Applicable Industries
- Aerospace
Applicable Functions
- Discrete Manufacturing
Use Cases
- Factory Operations Visibility & Intelligence
Services
- Data Science Services
About The Customer
Boeing is the world’s largest aerospace company and leading manufacturer of commercial jetliners and defense, space and security systems. Boeing employs an advanced research and development team called Boeing Research & Technology, consisting of approximately 3,300 engineers and support staff who are tasked with identifying solutions for their business unit’s needs, in order to improve both performance and efficiencies, as well as enhance overall business results.
The Challenge
Boeing desired the capability to better improve efficiencies and reduce costs, while continuously strengthening their customer’s output production rates. They wanted to provide a solution to the manufacturing floor that enabled everyone – from engineer to management – to identify and pinpoint non-conformances and encourage corrective action to those areas. Boeing faced inconsistencies in data quality, where-in employees struggled to have repeatable entry processes. Deviations in how employees entered discrepancies when identifying problems, led to a scarcity of usable data. Due to their existing system’s lack of visibility, Boeing found that they were chasing discrepancies downstream that no longer existed.
The Solution
Boeing acquired Dundas BI primarily due to its highly customizable interface and design, allowing them to easily visualize thousands upon thousands of data points. In addition, Boeing enjoyed the capacity to be able to connect with multiple preceding systems. The adoption of Dundas BI has amplified Boeing’s ability to further drill-down into and filter their data, making it more organized and visible. With easy, smart and intuitive design tools using drag-and-drop functionality, Boeing acquired the capability to integrate and embed Dundas BI into their existing business systems. Full API support, plug-ins and in-app scripting allowed for greater flexibility.
Operational Impact
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