Energy Sector Joint Value and Case Studies November 2015

Transcription

1 Energy Sector Joint Value and Case Studies November 2015

2 Accenture and SAS The Best in the Business Accenture s business solutions, powered by SAS pioneering analytics, help clients advance on the journey to ROI > 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 > 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

3 Accenture - SAS Partnership > 15 year strategic alliance > CEO to CEO commitment Shared Vision Analytics and Big Data > 2,500+ SAS-trained delivery consultants > 12 joint offerings > 12+ Accenture centers with SAS expertise High Performance Computing Cloud > 250+ projects completed > New commercial models and flexible pricing Internet of things State of the Art Technology Labs

4 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:

5 SAS and Energy Key Drivers Aging Workforce Regulatory Risk (Rates, Emissions, GHG, Water, Trading) Need for New Business Models and Development Strategies Aging Assets IT/OT Convergence Natural Gas Prices and Market Volatility Deregulation, Privatization, and Competitive Markets Computing Infrastructure Advancements Changing Mix. Renewables and Distributed Generation

6 SAS for Energy Approachable Analytics SAS provides Approachable Analytics Bridging the gap between IT and business Scalable to all your data Approachable Analytics with SAS Interactive and Visual Reporting Analytical Data Exploration Analytical Modeling

7 SAS for Energy Approachable Analytics Approachable Analytics removes the barriers of traditional approaches Scarcity of analytical skills The need to grow analytical talent from within Tools that aren t right for the job Learning curve to create, share and collaborate Disjointed, inefficient workflow How can you fail fast & learn to refine quickly

8 SAS for Energy Approachable Analytics Approachable Analytics What does SAS provide and look like today? Influence Relationships Increased understanding Eliminating guesswork with predictive analytics Contributions Data driven exploration

9 SAS for Energy Big Data Modernisation Moving to Real Time - Event Stream Processing 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

10 SAS for Energy Big Data Modernisation Event Stream Processing Sub Second Offer Decisions 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

11 SAS for Energy Analytic Areas of Focus Energy Forecasting Renewables Forecasting Portfolio Optimization Trade Risk Management Revenue Assurance Billing and Usage Analytics Work Order and Resource Optimization Exploration and Production SAS Energy Forecasting SAS BookRunner SAS Visual Analytics D A T A M A N A G E M E N T Behavioral Analytics Social & Sentiment Analytics Channel Optimization Program / Product Design The Connected Utility SAS Visual Analytics SAS Visual Statistics SAS Security Intelligence D A T A M A N A G E M E N T Reliability Management Cost Performance Analytics Fleet and Asset Performance Predictive Maintenance SAS Customer Intelligence SAS PMW for SAP HANA SAS Visual Analytics SAS Asset Performance Analytics SAS Event Stream Processing SAS Visual Analytics ENABLEMENT: IN-DATABASE HADOOP HANA GRID ESP IN-MEMORY CLOUD

12 SAS for Energy Accenture Capabilities and Skills Barcelona Supply Chain CoE Energy Forecasting Renewables Forecasting Portfolio Optimization Trade Risk Management Revenue Assurance Billing and Usage Analytics Work Order and Resource Optimization Exploration and Production Rome VA Factory Naples BI CoE Milan Risk CoE SAS Energy Forecasting SAS BookRunner SAS Visual Analytics SAS Visual Analytics SAS Visual Statistics SAS Security Intelligence D A T A M A N A G E M E N T The Connected Utility D A T A M A N A G E M E N T Accenture Customer Analytics CoE Behavioral Analytics Social & Sentiment Analytics Channel Optimization Program / Product Design Reliability Management Cost Performance Analytics Fleet and Asset Performance Predictive Maintenance Frankfurt Analytics Innovation Centre SAS Customer Intelligence SAS PMW for SAP HANA SAS Visual Analytics SAS Asset Performance Analytics SAS Event Stream Processing SAS Visual Analytics ENABLEMENT: IN-DATABASE HADOOP HANA GRID ESP IN-MEMORY CLOUD

13 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 countries. Shell plans to run marketing campaigns with SAS and real-time offers at the pump, utilizing Call Center, , 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

14 Joint Success Eni Spa BUSINESS 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.

15 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.

16 Our Team Key Contacts We have a strong global team ready to support you Global and EALA: UKI: Americas: APAC: Offerings: Enablement: SAS Remco den Heijer (remco.den.heijer@sas.com) Joe Hegarty (joseph.hegarty@sas.com) Brian O Rourke (brian.orourke@sas.com) Ron Fonseca (ron.fonseca@sas.com Eric Kong (eric.kong@sas.com) Steven Smith (steven.smith@sas.com) Cynthia Rowe (cynthia.rowe@sas.com) Accenture David Schwartz (david.schwartz@accenture.com)