commodity risk and analytics: keys to success webinar
Post on 12-Apr-2017
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Commodity Risk and Analytics:Keys to Success
Bruce ColquhounSenior Business Development
Manager, GlobalView
Michael SchwartzEVP & Chief Marketing Officer,
Eka Software
Agenda
• Bruce Colquhoun, GlobalView
• Better information management for better decision making
• Achieving a holistic view of data
• Michael Schwartz, Eka
• The need for faster, fact-based decision making
• A modern, advanced analytics solution for the future
• Q&A
Join the conversation:
@EkaSoftware@GlobalView
GlobalView offers a suite of industry-leading solutions that help energy and commodity companies access, analyze, and deliver information in a timely and flexible way. Some of the largest energy and commodity companies in the world trust GlobalView to manage thousands of data sets, both public and proprietary, in support of critical business, risk management, and trading decisions on an enterprise-wide basis.
Quick Facts
• Founded in 1996
• 650 Global Customers, 6,000 + Users
• 24x7 Global Sales and Support
• Global Real-Time and Historical Commodity
Market Data and News
• Customer Proprietary Data
• SaaS-Based Technology Solutions
• Cutting-Edge Charting and Analytics Platform
• Industry-Leading Excel Add-in
• Intuitive Mobile App
• Seamless Data Integration Tools
• Onsite Proprietary Data Solution
About GlobalView
Organizations make better and faster decisions by increasing the reach and
speed of information
Why is There Such Emphasis on Real-Time Information
Poll Question
• What system/tool do you mainly use for commodity data analysis?• Spreadsheets
• CTRM/ETRM
• ERP
• BI/Analytics
• Other (please type answer in questions box)
3 Areas of Focus
Rapid Movement of Information:
• From external and internal sources to decision making systems
• From spreadsheets to downstream systems
• Using event driven and automated processes
Market
Operational
Proprietary
Front OfficeTrading
SalesHedgingAnalysis
Mid OfficeRisk
ComplianceResearch
IT
Back OfficeSettlementsAccounting
Invoicing
1. From external and internal sources to decision making systems
Market
Operational
Proprietary
Front OfficeTrading
SalesHedgingAnalysis
Mid OfficeRisk
ComplianceResearch
IT
Back OfficeSettlementsAccounting
Invoicing
Formats
XML
XLS
PDFDOC
HTML
Text
CSV
Problems to Consider
Market
Operational
Proprietary
Front OfficeTrading
SalesHedgingAnalysis
Mid OfficeRisk
ComplianceResearch
IT
Back OfficeSettlementsAccounting
Invoicing
FormatsVolume
XML
XLS
PDFDOC
HTML
Text
CSV
MeterStreaming
5 Minute Nodal
Monthly Storage
Problems to Consider
Market
Operational
Proprietary
Front OfficeTrading
SalesHedgingAnalysis
Mid OfficeRisk
ComplianceResearch
IT
Back OfficeSettlementsAccounting
Invoicing
FormatsVolumeVelocity
XML
XLS
PDFDOC
HTML
Text
CSV
MeterStreaming
5 Minute Nodal
Monthly Storage
Batch/Scheduled
Near Real-Time
Real-Time
Problems to Consider
Market
Operational
Proprietary
Front OfficeTrading
SalesHedgingAnalysis
Mid OfficeRisk
ComplianceResearch
IT
Back OfficeSettlementsAccounting
Invoicing
FormatsVolumeVelocity
Integration
XML
XLS
PDFDOC
HTML
Text
CSV
MeterStreaming
5 Minute Nodal
Monthly Storage
Batch/Scheduled
Near Real-Time
Real-Time
APIs
Adapters
Web Services
Problems to Consider
Market
Operational
Proprietary
Front OfficeTrading
SalesHedgingAnalysis
Mid OfficeRisk
ComplianceResearch
IT
Back OfficeSettlementsAccounting
Invoicing
FormatsVolumeVelocity
Integration
XML
XLS
PDFDOC
HTML
Text
CSV
MeterStreaming
5 Minute Nodal
Monthly Storage
Batch/Scheduled
Near Real-Time
Real-Time
APIs
Adapters
Web Services
Problems to Consider
GlobalView’s Approach
2. From Spreadsheets to Downstream Systems
RiskCompliance
ResearchIT
Front Office Spreadsheets
Mid-Office/Downstream
Systems
Often FlawedPoorly MonitoredBlack Box EffectEffectively a Silo
Unified Data World
MarketView® ExcelTools
MarketView®Desktop™
DynamicIntegratedValidated
Golden Source
Front Office Mid-Office
Spreadsheet Automation With MarketView Xchange
GlobalDesktop
MobileRisk
Systems
Achieving A Holistic ViewM
arke
t D
ata Client
Databases
Desktop
Mobile Tools
Excel Tools
Prop Data Hub
BI Tools
ERP
Settlements
Trade & Risk
Billing
Invoicing
Custom Apps
ETRM/CTRM
Eka Software Solutions: Company Profile
Position: Global leader in on premise & cloud served Smart Commodity Management solutions
Founded: 2004
Employees: 315
Global Offices: 7 offices. 3 development & support centers
• Americas: Stamford CT, Calgary AB
• Asia Pacific: Bangalore India, Singapore, Adelaide & Perth AU
• Europe: London UK
Investors: Silver Lake Partners - GP Group - Nexus Venture Partners
Customer Base: >50 leading global enterprises on 4 continents• Cargill, EDF Trading, Twin Eagle, Rio Tinto, Mitsui, Bunge, BMA, Graincorp, Viterra, Louis
Dreyfus, COFCO, CBH, Boliden, Tata Steel, Pinnacle Foods
Solution: InSight Commodity Management (CM) Platform (ETRM & CTRM)• End to end financial and physical transaction management – Energy, Ags, Metals, Bulk• Cross asset trading and position management • State of the art enterprise risk management
Commodity Analytics Cloud• Analytics specific to commodities – Commodity Intelligence Engine• Multiple data sources internal and external to Eka (including competitive E/CTRM) • Prebuilt apps
The Business Problem Facing Commodity Companies
How to make more timely, data-driven, and fact-based decisions
Assumes greater significance because:
• Commodity prices are low, volatility remains high, and margins are under pressure
• Cost consciousness prevails
• Risks still have to be taken but require greater control
Why Getting There is a Challenge
1. Many commodity market problems are unique and require complex logic to get to the answer. Which software can do this for me?
2. Existing options are expensive and time consuming to implement. We’ve already spent so much, do we have to spend significant sums again?
3. To make meaningful and timely decisions, large volume data needs to be integrated from multiple sources and processed. What technology choices do I have?
Most companies have already invested in ERP, CTRM, Treasury, CRM, Accounting, Business Intelligence, etc. – but still rely on spreadsheets to get to answers.
Traditional options are to customize ERP or CTRM or write custom applications. But these are transaction systems, not analytics systems, so customizing them ends up being more expensive & less effective.
Integration projects are expensive and risky. And to process large volumes of data quickly, existing options will require large computation capability driving costs even higher.
Poll Question
• What is your biggest issue with analytics solutions?• Integrating data from multiple sources
• Expected cost and effort to implement a solution
• Available solutions don’t seem to solve my challenges
• Other (please type answer in questions box)
How Commodity Analytics Cloud Solves These Problems
Co
nn
ect
A NoSQL database dramatically reduces the time and effort required for bringing data from multiple systems.
Data preparation for making it ready for analysis is handled by the mapping and transformation layers.
Co
mp
ute
Commodity Intelligence Engine is the logical layer where algorithms are written.
An in-memory data grid can process millions of records in a fraction of the time taken by traditional options.
Dis
cove
r
Apps deliver the visualization that helps discover insights, which in turn lead to fact-based, data-driven decisions.
Intuitive visualization and self service tools give the power to the users to do the analysis they want.
Key Product Features
Commodity Intelligence Engine• Algorithms, models, analysis engine
Apps• Examples: P&L Explained, Procurement, Plan
Performance
Monitors• Brings focus on key areas instead of combing
through all data
Self Service• Intuitive visualizations and app design
Sharing• Share insights and ideas with team members
Data Ecosystem• All data required for analysis in one place
Connectors• Bring in data from 3rd party apps & data sources
Data Preparation• Mapping and transformation that relates raw
data to what the engine needs
Speed• Process millions of data entities in seconds
Mobile• Available on mobile devices including tablets
and phones
Apps For Your Industry - Examples
Commodity Analytics Cloud Apps are a powerful component of our commodity management platform.
• Make faster, data-driven, fact-based decisions
• Answer critical business questions
• Arm users with confidence to make the right decisions at the right time
Commodity Trading
Energy Agriculture Manufacturing/CP
Metals &Mining
Bulk Commodity Sites
• Position Consolidation
• P&L Explained• Accounts
Recon• Trader analytics
• Flash P&L• P&L Explained• Accounts
Recon• Position
Consolidation• Trader analytics
• P&L Explained• Accounts
Recon• Position
Consolidation• Trader analytics• Production
simulation
• Procurement• P&L Explained
• Raw Material Margin
• Inventory optimization
• P&L Explained
• Plan performance
• Plandiagnostics
• Stockyard optimization
Use Case: Food & Beverage/CP Companies
• Challenges:• Buyers are constantly studying markets to cover themselves from price risk
while also having to follow governance and compliance policies and ensure budgets are not exceeded.
• Difficult to know when to lock in supplier prices and when to hedge, depending on how the market is trending.
• Data is spread out among different systems and requires many excel sheets, macros, and man hours to consolidate and gain a holistic view.
Easy Upload of Data from Multiple Sources
Procurement App - Insights
Drill to Analyze Wheat Coverage
Run Simulations
Commodity Analytics Cloud – Next Generation Analytics
• Blend data from internal and external sources
• Use commodity specific algorithms and models
• Gain insights with business specific apps
• Empower users without reliance on IT or team of BI specialists
• Make timely, data-driven, and fact-based decisions
Questions?
Michael SchwartzEVP & CMO
michael.schwartz@ekaplus.com
Webinar Recording:
http://info.ekaplus.com/commodity-risk-and-analytics-eka-globalview-recorded-webinar
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