2. Visibility systems to present, analyze, and manage the data you collect.
Once you’ve determined the level of supply chain visibility you want, consider the challenges you’ll face in keeping your systems supplied with current, accurate data.Your data challenges become more complex as you progress from one level to the next.
A company with global supply chains and heavily outsourced logistics services is likely to identify thousands of data sources. It pays to identify and address the related data challenges before you implement new visibility systems. Otherwise, your new systems may not deliver the performance you expect.
- Security measures to protect your data and your systems.
- Mapping of individual data elements between your databases and theirs.
- Interpretation of their data values so they’re consistent with yours.
- Standardization of inconsistent data elements, such as different spellings for city names.
- The process could take weeks and hundreds of hours of labor for each mapping.
- Assess your data quality. If your data quality is low, explore ways to improve it.
- Low-quality logistics data is the Achilles heel of all supply chain visibility systems.