analyzing historical validation data to streamline business processes

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Analyzing Historical

Validation Data to

Streamline Business

Processes

Tony AndersonVP & General Manager Kubotek USA

Global Product Data Interoperability Summit | 2012



Who We Are

• Kubotek USA• History

– 2007 Developed worlds first “Geometric Validation” Tool that uses pattern recognition for complete coverage

– Co-Developed with Boeing to replace IGES Check– Deployed to Aerospace OEM’s and 100’s of suppliers– First Geometric Validation Tool to be used in an FAA approved

Process for data consistency– LOTAR Members

• Headquarters – Marlborough MA– Grand Rapids, MI – Boulder, CO – Philadelphia, PA– Value Added Resellers (VAR)




Benefits of CAD Software

• Increase in the Productivity of the Designer• Improve Quality of the Design• Better Communication• Creating Documentation of the Design• Integration with Downstream Processes• Re-use of Design Data




What is Data Validation?

• Data Validation is the certification of Geometric and MBD items between a single Authority CAD Dataset and a transformed CAD Dataset.

• Translation• Migration• Re-Formatting• Re-Purposing• Derivative




Validation – A Binary Process




Binary Process Yields Binary Benefits




Leveraging Historical Validation Information

• How Can we Leverage Historical Validation Data to Reduce Costs, Increase Design Effectiveness and Streamline Business Processes?




Next Generation Data Validation




Data Assimilation

• Data assimilation is the process by which observations are incorporated into a computer model of a real system. Applications of data assimilation arise in many fields of geosciences, perhaps most importantly in weather forecasting and hydrology. Data assimilation proceeds by analysis cycles. In each analysis cycle, observations of the current (and possibly past) state of a system are combined with the results from a numerical weather prediction model (the forecast) to produce an analysis, which is considered as 'the best' estimate of the current state of the system. This is called the analysis step. Essentially, the analysis step tries to balance the uncertainty in the data and in the forecast. The model is then advanced in time and its result becomes the forecast in the next analysis cycle.

http://en.wikipedia.org/wiki/Weather_forecasting

http://en.wikipedia.org/wiki/Hydrology

http://en.wikipedia.org/wiki/Numerical_weather_prediction






Knowledge Is Power

Extracted Information Assimilated Information

Predictive Analysis of Data Formatting




Demonstration




Benefits of Data Mining

• Where’s the Beef?

• Understanding the Root Cause of Errors

• Historical Validation Information Provides Trends and Direction for Future Expectations

• Review and Understanding of Data Interoperability within YOUR Environment Provides Substantial Benefits

• Ability to Data Mine Validation Information Improves Decision Making and Reduces Risk

• Supplier Management / Supplier Scorecard




“It is not the strongest of the species that survives, nor the most intelligent that survives.It is the one that is most adaptable to change”

Charles Darwin




Questions??

Tony AndersonVP & General Manager

Kubotek USA(616) 862-8653

[email protected]

analyzing historical validation data to streamline business processes

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