energy sector joint value and case studies - sas: analytics ......joint success shell downstream...
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Copyright © 2015 Accenture and SAS. All Rights Reserved.
Energy Sector
Joint Value and Case Studies
November 2015
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Accenture and SAS The Best in the Business
> Positioned in the leaders quadrant for Advanced
Analytics Platforms and Business Intelligence and
Analytics Platforms (Gartner, Feb 2015)
> Consistently rated as a leader in Gartner’s Magic
Quadrants (across 9 categories)
> Used at more than 70,000 sites in over 134 countries
> 91% of the top 100 Fortune Global list 2014 make use
of SAS®
Accenture’s business solutions, powered by SAS’ pioneering analytics, help clients
advance on the journey to ROI
> Positioned in Leader’s Quadrant for Business Analytics
Services (Gartner, Sep 2015)
> Named leader in the Business Intelligence Services in
Asia Pacific by Forrester (Q4- 2013)
> One of the largest global providers of BI services
> Market leader in the area of consulting and
implementation
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Accenture - SAS Partnership
> 15 year strategic alliance
> CEO to CEO commitment
> 2,500+ SAS-trained
delivery consultants
> 12 joint offerings
> 12+ Accenture centers
with SAS expertise
> 250+ projects
completed
> New commercial
models and flexible
pricing
Shared Vision
Analytics and Big Data
High Performance Computing
Cloud
Internet of things
State of the Art Technology Labs
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SAS and Energy
500 energy customers worldwide
100% of Fortune500 US Utilities
are SAS customers
1976 SAS founded and 2 utilities
among initial customers
Joint Accenture Successes:
Copyright © 2015 Accenture and SAS. All Rights Reserved.
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SAS and EnergyKey Drivers
Aging WorkforceRegulatory Risk (Rates,
Emissions, GHG, Water, Trading)
Need for New Business Models and
Development StrategiesAging Assets IT/OT Convergence
Natural Gas Prices and Market Volatility
Deregulation, Privatization, and
Competitive Markets
Computing Infrastructure
Advancements
Changing Mix. Renewables and
Distributed Generation
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SAS provides Approachable Analytics – Bridging the gap between IT and
business
SAS for Energy Approachable Analytics
Copyright © 2015 Accenture and SAS. All Rights Reserved.
Scalable to all your data
Interactive and Visual Reporting
Analytical Data Exploration
Analytical Modeling
Approachable Analyticswith SAS
®
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Approachable Analytics removes the barriers of traditional approaches
SAS for Energy Approachable Analytics
Copyright © 2015 Accenture and SAS. All Rights Reserved.
Scarcity of analytical skillsThe need to grow analytical talent from within
Disjointed, inefficient workflowHow can you fail fast & learn to refine quickly
Tools that aren’t right for the jobLearning curve to create, share and collaborate
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Approachable Analytics – What does SAS provide and look like today?
SAS for Energy Approachable Analytics
Copyright © 2015 Accenture and SAS. All Rights Reserved.
Influence Relationships
ContributionsData driven
exploration
Eliminating
guesswork with
predictive analytics
Increased
understanding
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SAS for Energy Big Data Modernisation
• Need to leverage data for risk
finance and risk customers
• Risk data aggregation driving data
governance & better stress testing
• Operational risks (external, internal fraud)
driving surveillance & oversight projects
• Analytics COEs trending up
• “Chief Insights Officer”
Moving to Real Time - Event Stream Processing
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SAS for Energy Big Data Modernisation
• Need to leverage data for risk
finance and risk customers
• Risk data aggregation driving data
governance & better stress testing
• Operational risks (external, internal fraud)
driving surveillance & oversight projects
• Analytics COEs trending up
• “Chief Insights Officer”
Event Stream Processing – Sub Second Offer Decisions
Copyright © 2015 Accenture and SAS. All Rights Reserved.
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SAS for EnergyAnalytic Areas of Focus
SAS Customer Intelligence
SAS PMW for SAP HANA
SAS Visual Analytics
SAS Visual Analytics
SAS Visual Statistics
SAS Security Intelligence
SAS Energy Forecasting
SAS BookRunner
SAS Visual Analytics
SAS Asset Performance Analytics
SAS Event Stream Processing
SAS Visual Analytics
ENABLEMENT: IN-DATABASE HADOOP HANA GRID ESP IN-MEMORY CLOUD
Behavioral Analytics
Social & Sentiment Analytics
Channel Optimization
Program / Product Design
Energy Forecasting
Renewables Forecasting
Portfolio Optimization
Trade Risk Management
Revenue Assurance
Billing and Usage Analytics
Work Order and Resource Optimization
Exploration and Production
Reliability Management
Cost Performance Analytics
Fleet and Asset Performance
Predictive Maintenance
D ATA M A N A G E M E N T D ATA M A N A G E M E N TThe Connected
Utility
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SAS for EnergyAccenture Capabilities and Skills
SAS Customer Intelligence
SAS PMW for SAP HANA
SAS Visual Analytics
SAS Visual Analytics
SAS Visual Statistics
SAS Security Intelligence
SAS Energy Forecasting
SAS BookRunner
SAS Visual Analytics
SAS Asset Performance Analytics
SAS Event Stream Processing
SAS Visual Analytics
ENABLEMENT: IN-DATABASE HADOOP HANA GRID ESP IN-MEMORY CLOUD
Behavioral Analytics
Social & Sentiment Analytics
Channel Optimization
Program / Product Design
Energy Forecasting
Renewables Forecasting
Portfolio Optimization
Trade Risk Management
Revenue Assurance
Billing and Usage Analytics
Work Order and Resource Optimization
Exploration and Production
Reliability Management
Cost Performance Analytics
Fleet and Asset Performance
Predictive Maintenance
D ATA M A N A G E M E N T D ATA M A N A G E M E N TThe Connected
Utility
Barcelona
Supply Chain
CoE
Milan Risk CoE
Accenture
Customer
Analytics CoE
Rome VA Factory
Naples BI CoE
Frankfurt
Analytics
Innovation Centre
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Joint Success Shell Downstream BUSINESS ISSUE
• Only 10 percent (7,500,000 out of 75,00,000 customers per week) of Shell customers are signed to its loyalty program, challenging
insight into customer behavior and buying patterns.
• This retail market represents a large profitable opportunity. Shell Downstream International represents two-thirds of Shell’s employees.
• Shell lacked a single customer view and was unable to produce effective real-time offers.
• Outsourced campaign management was resulting to a lack of control.
• Ultimately, lacking significant marginal growth would force Shell to reevaluate and its presence in retail markets and possibly withdrawal
as many of its competitors have.
ENABLING TECHNOLOGY
• SAS® Marketing Automation
• SAS® Marketing Optimization
PARTNER SOLUTION
• Shell will migrate marketing campaigns in-house to regain control, develop a single customer view and enable effective offer
management.
• This project is expected to span 33-36 countries.
• Shell plans to run marketing campaigns with SAS and real-time offers at the pump, utilizing Call Center, email, direct mail and in-store
marketing channels.
• This approach will increase Shell’s retail revenue significantly over the next three years.
• Shell plans to gain competitive advantage and market share.
• This strategy will increase Shell’s customer retention and potential for new business by acquiring retail customers from its competitors.
• ROI to date has been ~$1m per month
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Joint Success Eni SpaBUSINESS ISSUES
• Not able to easily integrate and visualize risk analysis across multiple risk types
• Currently duplicating risk management processes and controls within different business units
• Face high risk of failing to meet regulatory compliance without integrated processes and
comprehensive reporting
• Desired one system to facilitate risk management, including evaluation, stress testing, scenario
analysis and impact on strategic plans
SOLUTION
• SAS® OpRisk Management
• SAS® Visual Analytics
• SAS® Enterprise Miner™
• SAS® Financial Management
• SAS® Grid Manager
RESULTS
• Obtain an enterprise-wide view of risk exposure to improve strategic planning
• Achieve better control of financial performance and improved confidence in achieving financial
targets
• Create a scalable “risk factory” to manage new types of risk and widespread use
• Establish an institutional reporting system through SAS® Visual Analytics and the “risk factory” to
access all information in its “everywhere” mode
“We are an integrated
energy company, active in
85 countries. Using OpRisk
Management and Visual
Analytics is the right way to
make risk management
decisions at the executive
level. We used to think SAS
was complex and difficult
but Visual Analytics makes
SAS easy.”
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Joint Success Aera Energy
BUSINESS GOALS• Increase operational lifetime of low-volume, steam-injected wells
• Maximize production output by improving equipment reliability
• Reduce operational costs and optimize maintenance schedules
• Develop a culture of analytics for more informed decisions
SOLUTION• SAS® Predictive Asset Maintenance
• SAS® Visual Analytics for descriptive analysis, real-time surveillance and predictive analytics
EXPECTED RESULTS• Lower costs through more efficient product and maintenance processes
• Potential to increase production at the rate of $200,000,000 in incremental annual revenue
• Longer production life of mature, resource-intensive wells
• Share insights from real-time surveillance and predictive analytics on mobile devices
“We will monitor and
optimize all assets 24
hours a day, seven days a
week, 365 days a year.”
“Producing an extra one
quarter to half a barrel per
well each day will provide
as much as $200,000,000
a year in incremental
revenue.”
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SAS
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