Latest developments in Risk Management Systems from CM 1.0 CM 2.0 - - PowerPoint PPT Presentation

latest developments in risk management systems from cm 1
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Latest developments in Risk Management Systems from CM 1.0 CM 2.0 - - PowerPoint PPT Presentation

End-to-End Commodity Management Platform Latest developments in Risk Management Systems from CM 1.0 CM 2.0 Next Generation CM - Driven by Analytics James Veale MD Eka APAC Volatility Expected to Remain High for 20 Years


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End-to-End Commodity Management Platform

Latest developments in Risk Management Systems – from CM 1.0 CM 2.0

Next Generation CM - Driven by Analytics James Veale – MD Eka APAC

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Volatility Expected to Remain High for 20 Years…

Demand for energy, food, metals, and water should rise inexorably:

  • Three billion new middle-class

consumers expected

  • Global car fleet expected to double

by 2030

  • India calorie intake to rise 20% by

2030

  • China per capita meat consumption

will increase 60% a year

Supply won’t keep pace:

  • Long-term marginal rates increasing

for many resources as depletion rates accelerate

  • Pressure from climatic impact of

carbon emissions associated with surging resource use

  • Linkage among resources – e.g. effect
  • f water shortfall; 70% of all water is

used by agriculture

Source: McKinsey Quarterly 2

“Our analysis suggests that commodity prices will remain high and volatile for at least the next 20 years”

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3

Commodity Management is the Next Big Supply Chain Issue

  • Historically, with commodity price relatively stable

since WWII (1970s oil embargo not systemic), focus

  • n supply chain efficiency and cost reduction:

Lean manufacturing

Six Sigma quality programs

Supply chain optimization

Resulting in lower buffer inventory and complex supply chains

  • System investment to support above focus through 

ERP, MRP, Purchasing Systems

  • Commodity Management typically handled in

multi-tab, error prone spreadsheets With 40-60% of costs in raw materials, packaging and energy Systemic high commodity volatility Commodity Management is the Next Big Supply Chain Issue

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BUT CM 1.0 Built on Dated Architecture/Code Base – Lacks Analytics

WEB & COMPONENT ARCHITECTURE END- TO-END CM FACT

  • BASED

DECISION SUPPORT

4

F U N C T I O N F U N C T I O N V A L U E V A L U E Focus on Monitoring and Reporting Does a good job integrating the supply chain

Heavy footprint, expensive to deploy & upgrade, monolithic code base makes quality assurance very lengthy preventing innovation cycles

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What’s missing? - Some leading research on Analytics

Research shows that greater use of analytics is supporting firms as they cope with the inexorable acceleration in the pace of change

— Accenture Survey

67% of companies report competitive advantage with use of analytics

– MIT Survey

If you expect to surpass competitors in the race to keep up with change in the marketplace, you want analytics on your side —Accenture Survey

68% of respondents rate senior management as committed to analytic/ fact-based decision making – Accenture Survey

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The Answer  Eka CM 2.0 Solutions – Driven by Analytics

WEB & COMPONENT ARCHITECTURE END- TO-END CM FACT

  • BASED

DECISION SUPPORT

DRIVEN BY ANAL YTICS EKA COMMODITY MANAGEMENT 2.0 EKA COMMODITY MANAGEMENT 2.0

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F U N C T I O N F U N C T I O N V A L U E V A L U E

  • Multi-commodity
  • Upstream to

downstream  Single platform

  • Cloud deployment
  • Scalable SOA

 Waterfall development

  • Optimization
  • Visualization

 Simulation

  • T

ransform large amounts of data into fact-based decisions

  • Make risk-aware decisions
  • Get faster and better answers

through data analytics

  • Eliminate integration

points

  • Eliminate delays and

data errors

  • Have one version of the

truth

  • Deliver less expensive

implementation/upgra des

  • Provide faster

innovation cycles

  • Have lowest TCO
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7

T

  • recap CM 1.0 Focused on Monitoring and

Reporting

Historical Predictive Monitor User Controlled Analysis Production Reports Sort & Filter Dashboards & Scorecards Slice & Dice Analysis Optimizatio n, Visualizatio n, Simulation

Decision Support Value Attainment Decision Support Value Attainment

EKA FACT-BASED DECISION SUPPORT EKA FACT-BASED DECISION SUPPORT

Procurement / T rading Risk Management Supply Chain

CM 1.0

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CM 2.0  Deploy User Controlled, Predictive Analytics

Historical Predictive Monitor User Controlled Analysis Production Reports Sort & Filter Dashboards & Scorecards Slice & Dice Analysis Optimizatio n, Visualizatio n, Simulation

Decision Support Value Attainment Decision Support Value Attainment

EKA FACT-BASED DECISION SUPPORT EKA FACT-BASED DECISION SUPPORT

Procurement / T rading Risk Management Supply Chain

EKA ADVANTAGE

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End-to-End Commodity Management Platform

Thank you