Manufacturing Data Analytics

Wavicle’s data management engagements for manufacturing take advantage of cloud-based architectures and analytics to help these industrial engines develop and maintain a better alignment between customer demand, marketing and sales channels, production logistics, suppliers, procurement and inventory levels, and even new product innovation.

Car Factory Office: Female Engineer Talks with Male Scientist, Use Tablet Computer to Design Production Conveyor for Advanced Power Engines. Automated Robot Arm Assembly Line Manufacturing Vehicles

Rapidly deploy cloud, data, and analytics solutions

Manufacturing supply chain networks are a codependent ecosystem of locations, technologies, and diverse organizations. Wavicle knows you, and your suppliers need to quickly respond to order requests and drive production starts across this complex network.


Wavicle’s modern data management architecture and proprietary accelerator technology helps your business plan and deploy strategies that best support your enterprise’s supply chain network with business processes that target both short- and long-term sales and operational goals.

From shop floor to top floor, we cover all your manufacturing data analytics needs

  • Cloud migration to achieve enterprise-wide, single source of truth
  • Procurement analytics with forecasting to better balance inventory supply with demand
  • Supply chain analytics (demand forecasting, inventory/warehouse analytics, transportation / logistics
  • AI/ML technology to drive higher predictability of demand
  • Inventory analytics to optimize inventory levels and minimize shortages, and excess/obsolescence
  • Improved data transparency of data for informed decision-making
woman engineer and various business information.

The importance of manufacturing data analytics

Robust and reliable data analytics in the manufacturing industry is now critical for companies to leverage their most essential resource: information. Armed with a better understanding of what’s happening across their organization, businesses are better equipped to make informed decisions and take effective action.


Benefits of in-depth data science in manufacturing include:


  • Increased transparency: Analysis of historical and current data sources sets the stage for real-time manufacturing data visualization. This can provide transparency around shop floor processes and production line challenges to help companies pinpoint the root cause of potential problems.
  • Reduced waste: The right manufacturing data analysis software can help companies discover common processes that may be using excess materials or that have higher failure rates than expected. This, in turn, allows them to take action and reduce material waste.
  • Improved quality control: End-to-end analytics can provide a streamlined pathway for quality control. By creating a single source of truth for all manufacturing efforts, companies can ensure consistent quality control across multiple locations.
  • Enhanced efficiency: Manufacturing analytics software allows companies to run efficiency simulations using real-world data to determine where process improvements might offer the biggest benefits to production timelines.
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Partner with us

Wavicle’s data management professionals help your business develop rapid-response analytics that make the best use of your resources to drive production starts, material movement, and the fulfillment of purchase orders.



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