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The Boeing Company
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.
Their 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.
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.
Their Needs
Boeing required a BI platform that was able to coalesce with
pre-existing systems, through one, single harmonious interface.
They required a solution that would make data entry and
collection more centralized and streamline.
Why Boeing Chose
Customizable Dashboards
With easy, smart and intuitive design tools using drag-and-drop functionality
Integrate and Embed
Boeing acquired the capability to integrate and embed Dundas BI into their existing business systems
Ease-of-Use
Quick learnability by end-users
Extensibility
Full API support, plug-ins and in-app scripting allowed for greater flexibility
How Boeing Reduced Operational Deficiencies
By Enhancing Data Visibility
Key Benefits
As a result of using Dundas BI, Boeing became aware of a cultural
and procedural problem that was facing their business unit, and
they realized what capabilities needed improvement.
They immediately recognized increases and enhancements in
productivity, as their existing systems became more integrated
and unified. By making data analytics available to shop-floor
employees, as well as to the business unit and engineers, experts
of Boeing Research & Technology were able to link raw, near
real-time production data occurring on the factory floor to the
decision-makers. This improved data-entry accuracy, facilitated an
organization wide hunger to execute precise, timely, processes.
Additionally, Boeing obtained a rapid return on investment following
Dundas BI’s implementation, which was directly attributed to a
reduction of the number of man-hours required to produce reports.

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Dundas BI - Boeing Case Study 9.16

  • 1. The Boeing Company 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. Their 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. 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. Their Needs Boeing required a BI platform that was able to coalesce with pre-existing systems, through one, single harmonious interface. They required a solution that would make data entry and collection more centralized and streamline. Why Boeing Chose Customizable Dashboards With easy, smart and intuitive design tools using drag-and-drop functionality Integrate and Embed Boeing acquired the capability to integrate and embed Dundas BI into their existing business systems Ease-of-Use Quick learnability by end-users Extensibility Full API support, plug-ins and in-app scripting allowed for greater flexibility How Boeing Reduced Operational Deficiencies By Enhancing Data Visibility Key Benefits As a result of using Dundas BI, Boeing became aware of a cultural and procedural problem that was facing their business unit, and they realized what capabilities needed improvement. They immediately recognized increases and enhancements in productivity, as their existing systems became more integrated and unified. By making data analytics available to shop-floor employees, as well as to the business unit and engineers, experts of Boeing Research & Technology were able to link raw, near real-time production data occurring on the factory floor to the decision-makers. This improved data-entry accuracy, facilitated an organization wide hunger to execute precise, timely, processes. Additionally, Boeing obtained a rapid return on investment following Dundas BI’s implementation, which was directly attributed to a reduction of the number of man-hours required to produce reports.