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

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

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

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

    • 10 Best Practices for using Analytics to Drive Competitive Strategy Louis  Columbus     Cincom  Systems    
    • Manufacturing Performance Requirements Are Accelerating
    • Manufacturing Performance Requirements Are AcceleratingSources: WSJ, Purchasing.com, AMR Research
    • Source:  Gartner    Information Complexity Requires Real-Time Access
    • Define a Strategy For Gaining Visibility into Manufacturing Performance
    • Define and Act On Key Performance Drivers First
    •   Keep Dashboards Down to Six Key Performance Drivers
    •  Reinforce/Reward Collaboration, Communication with Shared Performance Drivers Globally
    • Customer Relationship Management (CRM) Functional Plant Applications (for example, MES, CMMS, QMS, EHS, LIMS, etc.) Supply ChainManagement (SCM) Business IntelligenceEnterprise Resource Conditions, Locations, and Plant Manufacturing   Planning (ERP) Events, State, Constraints, Enterprise Operations Visibility   Performance Costs, Exceptions, Actions Management Enterprise AssetManagement (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
    • 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
    • Business Enterprise Data Leadership Warehouses (PLM/ERP/SCM/BI) Manufacturing Data WarehouseCONTINUUM 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
    • Use Manufacturing Intelligence to Drive Operational Gains 12
    • 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  
    • Thank  You    
    • For  more  information  visit:    http://erp.cincom.com/     lcolumbus@cincom.com      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.