Navigating Data That Actually Matters
In today’s data-drenched landscape, supply chain professionals are often overwhelmed with dashboards, KPIs, and endless reports. But not all data is useful. In fact, obsessing over the wrong numbers can stall progress, mask real issues, and inflate costs.
1. Not All Metrics Are Created Equal
Just because something is measurable doesn’t mean it’s meaningful. “Truck fill rate” sounds great—until you realize you're optimizing space but missing delivery windows. Focus instead on metrics that tie directly to customer experience and cost control.
2. The Danger of “KPI Fatigue”
When teams are measured by too many KPIs, they either ignore them or game the system. Worse, departments start chasing conflicting goals. A well-run supply chain aligns KPIs across procurement, logistics, and sales—so the whole team rows in the same direction.
3. Choosing the Right Data for the Right Role
A warehouse manager doesn't need marketing's click-through rate. And procurement doesn't need forklift downtime reports. Role-specific dashboards help everyone stay focused, fast, and accountable.
4. What “Good Data” Looks Like
- Clean: No duplicates, errors, or outdated records.
- Connected: Links across departments (SKU, location, vendor).
- Contextual: Tied to business goals, not just operational noise.
5. A Simple Framework: FILTER
Use this to evaluate your data relevance:
- Focused on outcomes
- Integrated across functions
- Low noise, high signal
- Timely and real-time when needed
- Easy to act on
- Relevant to your business model
Final Thoughts: Less Data, More Decisions
Don’t chase “big data” just because everyone else is. The smartest supply chain leaders are simplifying their insights, aligning their metrics, and empowering teams to act decisively. Because at the end of the day, it’s not about how much you measure—it’s about what you move.
No comments:
Post a Comment