This webinar reveals ten ideas on how to best utilize analytics to drive competitive strategies

1. 10 Best Practices for using Analytics
to Drive Competitive Strategy
Louis Columbus
Cincom Systems

2. Manufacturing Performance Requirements Are Accelerating

3. Manufacturing Performance Requirements Are Accelerating
Sources: WSJ, Purchasing.com, AMR Research

4. Source: Gartner
Information Complexity Requires Real-Time Access

5. Define a Strategy For Gaining Visibility into
Manufacturing Performance

6. Define and Act On Key Performance Drivers First

7.
Keep Dashboards Down to Six Key
Performance Drivers

8.
Reinforce/Reward Collaboration, Communication
with Shared Performance Drivers Globally

9. Customer Relationship
Management (CRM)
Functional Plant Applications
(for example, MES, CMMS,
QMS, EHS, LIMS, etc.)
Supply Chain
Management (SCM)
Business
Intelligence
Enterprise Resource Conditions, Locations,
and Plant
Manufacturing
Planning (ERP) Events, State, Constraints,
Enterprise Operations
Visibility
Performance Costs, Exceptions, Actions
Management
Enterprise Asset
Management (EAM)
SCADA, Control Systems,
Sensors, DCS, and OT
Product Life Cycle
Management (PLM)
Source: Gartner
Bring Manufacturing Visibility Into BI and EPM
Workflows On a Per Product and Project Basis

10. Executive Level Executive targets feed Plant
Plant targets feed Line
Productivity targets
Level targets
Plant Level
Line Level
Plant Level data rolls
up to summary at Line Level data rolls up
Executive Level to summary at Plant
Source: Based on Inquiry Calls with Gartner
reporting Level reporting
Tie Decision Makers to Execution To Obtain Maximum Return

11. Business Enterprise Data
Leadership Warehouses
(PLM/ERP/SCM/BI)
Manufacturing Data Warehouse
CONTINUUM OF ROLES SERVED
Manufacturing (Historian or DB associated with MES,
Management
EHS, etc.)
Site
Leadership DB
DB
Operational Data
Data Historians Stores
Functional/
Task Workers (MES, CMMS, etc.)
DB
Operators, Operational Technologies
Engineers,
Technicians (OT)
REAL-TIME TRANSACTIONAL STAGED DATA
(seconds, minutes) (minutes, hours, shifts) (shifts, days, weeks, months)
TIME FRAME FOR DECISION SUPPORT
Define an Architecture to Support Manufacturing Analytics &
Intelligence over the Long-Term

12. Use Manufacturing Intelligence to Drive Operational Gains
12

13. Key Take-­‐Aways
1. Manufacturing Performance Requirements are Accelerating
2. Information Complexity Requires Real-­‐Time Access
3. Define a Strategy For Gaining Visibility into Manufacturing Performance
4. Define and Act On Key Performance Drivers First
5. Keep Dashboards Down to Six Key Performance Drivers
6. Reinforce/Reward Collaboration, Communication with Shared Performance Drivers
Globally
7. Bring Manufacturing Visibility Into BI and EPM Workflows On a Per Product and
Project Basis
8. Tie Decision Makers to Execution To Obtain Maximum Return
9. Define an Architecture to Support Manufacturing Analytics & Intelligence over the
Long-­‐Term
10. Use Manufacturing Intelligence to Drive Operational Gains

14. Thank You

15. For more information visit:
http://erp.cincom.com/
lcolumbus@cincom.com
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