Leveraging Big Data in Manufacturing Supply Chains
Read time: 7-10 minutesManufacturing companies can improve planning productivity by more than 50% and enhance sales profitability by 6%+ when they make data-driven decisions.
Learn how to use three types of analytics to improve critical supply chain decision-making and save time and money.
Data is everywhere, but how do you use it to drive profits? What does it take to gain efficiency improvements through analytics?
This e-book offers a practical approach to mining your data to achieve a more effective supply chain. Your journey starts with 2 steps:
- Supply chain visibility: Implement descriptive analytics to understand your performance over time.
- Analytics-driven improvements: Adopt advanced solutions using predictive and prescription analytics for proactive decision-making.
Discover tips, tools, and examples of applying big data and smart analytics to achieve operational improvements in manufacturing environments.
The e-book outlines 4 different types of analysis you can implement to start gaining supply chain visibility, including:
- Performance analysis
- Data quality analysis
- Customer analytics
- Least touch analysis
It will also take you through useful examples of big data in action, such as:
- Understanding your cost to serve
- Planned vs realized analysis
- Predictive maintenance
Discover how you can tap into your own analytics tools and environment, and how ORTEC's Data and Analytics can help you improve decision-making.
Download the E-book: 7 Ways Manufacturers Can Leverage Big Data in the Supply Chain
