Aerospace and Defense

Analytics in industrial manufacturing
To capitalize on market opportunities, industrial manufacturers must uncover insights from data and content found within sensors, maintenance logs, and enterprise and production systems.

Industrial companies of all types must be highly efficient to meet demand, production and supply requirements, while carefully managing costs and resources. Whether in automotive, aerospace, defense, chemicals, petroleum, electronics or industrial products, companies can benefit from deeper insights into operations, market demand, inventory and performance. IBM SPSS Predictive Analytics can reveal the insights needed to manage the complexity of global markets, supply chains and operations.

  • How can we improve visibility into raw materials and inventory levels throughout the entire supply chain?
  • Which product features are most valuable to our customers, and which are not needed?
  • What processes can we put into place to reduce operating costs and better project financial performance?
  • How can we more accurately predict supply chain disruptions and maintenance needs to minimize their impact on our business?

Create innovative products and services

BodyMedia developed a first-of-its-kind personalized feedback system based on an intelligent decision management solution that helps individuals improve weight-loss success.
Beyerdynamic introduced a business intelligence platform that gathers, processes and analyzes corporate data, providing new insights into sales and marketing strategy.

 
Build and optimize dynamic value chains

Mueller, Inc used analytics to measure and improve sales performance, create effective business plans, and gain deep insight into patterns and trends in its data.
Becker Underwood improved forecast accuracy by 10 to 15%, and achieved a 383% ROI within four months with a business analytics solution for global business intelligence, planning and financial consolidation.

Provide differentiated innovative customer experiences

Fiat Group improved customer retention by 7% and increased response rate to marketing campaigns by 15 to 20% with a solution that analyzes data and creates models to predict customer behavior.
Daimler FleetBoard reduced fuel consumption by 5 to 10%, extended maintenance intervals and enabled dynamic route planning by collecting and analyzing data from onboard systems.