When approaching the concept of knowing sooner and acting faster, and the value of concurrent planning, the most common feedback I get from supply chain executives is:
“But my data is bad… I mean, really bad.”
It doesn’t matter if they’re high tech, consumer packaged goods, aerospace, automotive, or life science. The answer is so often the same. And trust me, I’ve seen some companies whose data is worthy of a top 10 list of the worst data around, including companies where:
- A bill of material is only 10% accurate
- The only inventory records are ‘inventory receipt date’ and ‘inventory ship date’
- Routings are done in 20+ Excel spreadsheets
At Kinexions ’17, our annual user conference, we’ll have a customer examine this trend of bad supply chain data in its presentation, Seeing the Light at the End of the Data Tunnel, and showcase how it changed its bad data into good. Instead of turning back to fix data first, this customer went after the gaps and process breakdowns that had previously been a black hole.