Supply Chain Analysis Tools for Logistics Planning

As rapid technological change continues to make product lifecycles ever shorter, accurate and timely supply chain analysis and optimization becomes more critical. Yet as increased use of outsourcing and offshoring makes supply chains longer and more complex, effective supply chain analysis simultaneously becomes increasingly challenging.

Transactional database systems were never designed to meet this unprecendented analytical challenge. What's needed is a new type of technology that lets you consolidate all of your detail data in one place, add new data and index it on the fly, and perform any type of analysis—without a major IT project. What's needed is illuminate data warehouse technology for supply chain analysis and logistics planning.

illuminate enables you to consolidate all of your supply chain data in one data warehouse and run queries on detail data, not just summaries. Its unique VBS architecture provides a compact, fast data warehouse without requiring compression techniques. And its ability to perform unique types of queries, free from the limitations of SQL, provides maximum supply chain analysis and logsitics planning flexibility. The following list provides a few examples of where and how illuminate can improve the quality and productivity of your supply chain analysis and planning.

• With illuminate, it's quick and easy to build reports and dashboards for your department, management and all other parties involved;
• Detailed data behind the aggregated data you see in the reports is only one click away, enabling you to look "behind" the supply chain and logistics information to better understand its exact meaning;
• It's easy to coordinate the data in your reports with other (for example production, sales or inventory) datasets, enabling you to make more informed decisions than ever before.

illuminate provides more detailed, dynamic, integrated, and timely insight into your:

• Delivery time performance
• Inventory optimization
• Route planning
• Transportation costs
• Supply chain analysis
• Logistics data
• Follow up and incidents analysis