Sources of dormant data
McKinsey & Company
Dormant data that could yield actionable improvements can be found across the company, from the front office to the production floor.
Hover over the different areas of this manufacturing operation to see common sources of dormant data and examples of information they might yield.
Example:
Customer
order history data
Example:
On-time
and in-full
delivery data
Example:
Accounts
payable data
Example:
Common
best practices data
Example:
Downtime data
Example:
Machine alarms data
Example:
Spare part
consumption data
Example:
Production
schedule data
Example:
Changeover
time data
Example:
Cost-per-pound data
Example:
Aged inventory
report data
Customer funnel and churn analytics
Key source for capital investment conversations
Front-office process improvement pipeline
Supplier optimization initiatives
Voice of the customer
Input for process or product changes
Price elasticity across portfolio
Categorized spend analysis
Supplier pricing trends
On-time customer payments
Root causes of productivity loss
Line staffing requirements
Real-time order tracking
Equipment failure Pareto charts
Line performance by SKU
Predictive maintenance inputs
Analysis of cost of spare parts
Order and reorder volumes
Machine downtime analysis
Changeover best practices
Standard procedure development
Continuous improvement pipeline
Dashboard for overall equipment effectiveness metrics
Safety and quality event trending
Finished inventory holding costs
Order or reorder optimization for raw materials
Average shipping rate per pound or per lane
Route optimization models
Minimum order quantity requirements
Example:
Pricing
performance data
Quoting team turnaround time
Product parameters—
price regression
Quote to win success rate