Aerospace Data Science & Analytics

Aerospace engineering, manufacturing and sustainment activities have unique datasets that are heavily technical and domain specific. This characteristic makes it difficult for those outside of the aerospace industry to provide the quality and game changing capabilities without an extensive learning curve. How well can a data scientist or data engineer do if they need to spend much of their time trying to understand the data they have been asked to analyze?

We provide both the aerospace domain knowledge and the data science expertise to deliver exceptional analytic results. Whether that is engineering data, maintenance data, logistics or supply chain data.

We leverage the latest techniques and technology:

• Data extract, transform, load (ETL)
• Data cleansing & schema standardization
• Machine learning
• Regression analysis
• Cluster analysis
• Natural language processing
• Data visualization & dashboarding

We also focus on using analysis to deliver on a business result or return on investment, which is often the desired outcome.

• Make data driven decisions / decision support based on actionable insight
• Understand the return on investment for scenarios
• Prediction of future outcomes based on historical trends
• Understand statistically significant trends that may generate future risks
• Define risk probabilities based on historical trends

We can assist our customers with:

• Performing analysis and producing insights and results
• Designing data analytics workloads
• Setting up data analytics tools/software
• Organizing and cleansing data for analysis
• Building data analytics dashboards, both static and interactive

We have the capability to provide data analysis and business intelligence using modern data science tools such as Databricks and python. We are also proficient in business intelligence and data visualization dashboarding tools such as Microsoft Power BI.