Manufacturing Big Data Analytics
Less Hardware and More Software
Overcome key business challenges
Manufacturing companies typically are the most forward looking when it comes to operational efficiency, and as such, process improvement is a key emphasis. Past illustrations of that focus are the invention of the Assembly Line and Six Sigma techniques. Creating value through supply chain integration from raw materials all the way through to the end customer is a critical way for a digitally integrated manufacturing company to differentiate itself from its competitors.
Manufacturing products each have their own individual fingerprint when it comes to demand, but powerful analytics can uncover hidden patterns. Time series analytics such as sophisticated machine learning, or seasonal analysis can be employed to predict what the future holds for a given product. Better demand planning can enable a sophisticated company to hold less inventory, while still maintaining a high level of service.
SUPPLY CHAIN OPTIMIZATION
Through analysis and quantification of the supply chain, simple adjustments can be made pertaining to order patterns and safety stock levels to drive value. Variance throughout the entire supply chain can be mitigated, and in a best-case scenario, minimized. These efforts free up valuable working capital as well as locking in lost sales due to stock outs.
MULTI ECHELON INVENTORY
Every complex manufacturing operation struggles with the problem of where to hold inventory. Closer to the end customer to reduce stock outs, or in a centralized warehouse to capitalize on economies of scale? Through demand planning and variance analysis, we look to determine an optimal level of inventory at each level of your supply chain to balance these competing initiatives in any organization.
PROCESS CENTRIC DESIGN
As organizations get more and more specialized, data gets locked into silos, and cross functional analysis becomes impossible. We look to unlock those data silos, and stitch together the data on an apple to apple basis to drive key business decisions. Business fundamentals don’t change, but finding a way to apply them in a Big Data world takes a cross functional team capable of seeing the big picture while also embracing the details.
Across a complex supply chain, pricing is a critical component of profitability, but is often overlooked due to the sheer complexity of the problem. Cross-channel pricing and profitability analysis across the supply chain is a key component in any pricing analysis, and one that can be a critical component of any successful business.
Gain relevant insights from your Manufacturing data
- Cost Metrics
- Working Capital
- Work in Progress
- Service Contracts
- Operational Capability
- Sensor Data
- Predictive Maintenance
- Repair Data
- Shop Metrics
- Vendor Performance
- Inventory Turns
- Lead Time