10 Best practices for Using Analytics to Drive Competitive Strategy

15
10 Best Practices for using Analytics to Drive Competitive Strategy Louis Columbus Cincom Systems

description

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

Transcript of 10 Best practices for Using Analytics to Drive Competitive Strategy

Page 1: 10 Best practices for Using Analytics to Drive Competitive Strategy

10 Best Practices for using Analytics to Drive Competitive Strategy

Louis  Columbus    Cincom  Systems    

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Manufacturing Performance Requirements Are Accelerating

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Sources: WSJ, Purchasing.com, AMR Research

Manufacturing Performance Requirements Are Accelerating

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Information Complexity Requires Real-Time Access

Source:  Gartner    

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Define a Strategy For Gaining Visibility into Manufacturing Performance

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Define and Act On Key Performance Drivers First

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Keep Dashboards Down to Six Key Performance Drivers

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Reinforce/Reward Collaboration, Communication with Shared Performance Drivers Globally

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Business Intelligence and Enterprise Performance Management

Plant Operations

Customer Relationship Management (CRM)

Product Life Cycle Management (PLM)

Supply Chain Management (SCM)

Enterprise Asset Management (EAM)

Functional Plant Applications (for example, MES, CMMS, QMS, EHS, LIMS, etc.)

SCADA, Control Systems, Sensors, DCS, and OT

Conditions, Locations, Events, State, Constraints, Costs, Exceptions, Actions

Enterprise Resource Planning (ERP) Manufacturing  

Visibility  

Bring Manufacturing Visibility Into BI and EPM Workflows On a Per Product and Project Basis

Source:  Gartner    

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Executive  Level  

Line  Level  data  rolls  up  to  summary  at  Plant  

Level  reporting  

Plant  Level  

Executive  targets  feed  Plant  Productivity  targets  

Plant  Level  data  rolls  up  to  summary  at  Executive  Level  

reporting  

Line  Level  

Plant  targets  feed  Line  Level  targets  

Tie Decision Makers to Execution To Obtain Maximum Return

Source:  Based  on  Inquiry  Calls  with  Gartner    

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Data Historians

Manufacturing Data Warehouse (Historian or DB associated with MES,

EHS, etc.)

REAL-TIME (seconds, minutes)

STAGED DATA (shifts, days, weeks, months)

TRANSACTIONAL (minutes, hours, shifts)

TIME FRAME FOR DECISION SUPPORT

Enterprise Data Warehouses

(PLM/ERP/SCM/BI)

Operational Technologies (OT)

Operational Data Stores

(MES, CMMS, etc.)

DB

DB DB

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F R

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S SE

RVE

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Operators, Engineers,

Technicians

Functional/ Task Workers

Site Leadership

Business Leadership

Manufacturing Management

Define an Architecture to Support Manufacturing Analytics & Intelligence over the Long-Term

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12 Use Manufacturing Intelligence to Drive Operational Gains

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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    

   

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Thank  You    

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 2012  Cincom  Systems,  Inc.    All  Rights  Reserved    

Developed  in  the  U.S.A.    

CINCOM,  the  Quadrant  Logo,  and  Simplification  Through  Innovation  are  registered  trademarks  of  Cincom  Systems,  Inc.  

 All  other  trademarks  belong  to  their  respective  companies.

For  more  information  visit:    http://erp.cincom.com/  

 [email protected]