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Herding Cats in the 
Digital World 
David DuCharme, Victor Jimenez 
Mike Swatek 
Oracle OpenWorld | 29 September 2014
Copyright © 2014 Capgemini. All Rights Reserved 2 
Presenters 
David DuCharme, VP NA Utilities, Capgemini 
David leads the Utility practice in North America for Capgemini. He brings many years of 
experience in the energy industry covering a wide range of initiatives including multi-state 
utility mergers, the reorganization of several state run utilities, the rollout of smart meter/ 
smart grid across North America and most recently operational excellence. 
Mike Swatek, Enterprise Information Architect, Pacific Gas and Electric 
Mike joined PG&E to lead Enterprise Information Architecture in 2012 after developing and 
implementing an Information Management and Business Intelligence strategy for Bank of 
Hawaii that contributed to substantial performance improvements across the bank, helped 
to minimize the impact of the banking crisis of 2008 to Bank of Hawaii, and contributed to 
Bank of Hawaii being chosen as the Nation's Best Bank by Forbes Magazine in 2009 and 
2010 and number two in 2011. 
Victor Jimenez, Energy & Utilities Executive, Capgemini 
Victor has 20 years of experience in the utility industry. In his current role, Mr. Jimenez leads 
Capgemini’s utility analytics and Oracle solutions. Prior to joining Capgemini, Mr. Jimenez 
held positions as an executive at Oracle and senior technology roles at a utility.
Copyright © 2014 Capgemini. All Rights Reserved 3 
Agenda 
Digital Utilities Transformation 
Challenges 
Analytics 
PG&E Story
Digital Utility Transformation (DUT): 
The changing digital relationships at two ends of the utility value chain 
Transformation Transformation 
Customer and 
External Market 
Copyright © 2014 Capgemini. All Rights Reserved 4 
Rationalization 
Assets and 
People Backoffice 
= Application Count Across the Value Chain 
Companies that embrace 
digital transformation 
financially outperform their 
peers by 26% - Digital 
Transformation Study 
Conducted by Capgemini 
and MIT 
Enterprise Wide Data Layer
Copyright © 2014 Capgemini. All Rights Reserved 5 
Some industries are more mature than others… 
Average 
industry 
maturity* 
* Average maturity of industries for which we 
received at least 20 survey responses 
Telecomm 
High Technology 
Retail Banking 
Travel and 
hospitality 
Consumer 
Packaged Goods 
Pharmaceuticals 
Insurance 
Utilities 
Manufacturing 
Telecomm 
High Technology 
Retail Banking 
Travel and 
hospitality 
Consumer 
Packaged Goods 
Pharmaceuticals 
Insurance 
Utilities 
Manufacturing 
FASHIONISTAS DIGIRATI 
BEGINNERS CONSERVATIVES 
Digital 
intensity 
Transforma>on 
management 
intensity
Copyright © 2014 Capgemini. All Rights Reserved 6 
Every Industry has Digital Leaders 
“Utilities are in great majority 
conservatives" 
“There is a great consensus 
around the transformative 
potential of Digital 
Technologies, although with 
limited hope for significantly 
increasing revenue"
Copyright © 2014 Capgemini. All Rights Reserved 7 
Key messages from the Utilities sample 
1) Utilities have only started adopting digital 
technologies in specific areas such as the 
customer experience. Our European retail benchmark shows 
that customer satisfaction and optimized channel mix (3 at the most) 
are necessary for reaching low cost to serve 
2) Analytics is not widely used in either customer or 
operational applications 
3) Untapped opportunities may exist in worker 
enablement and process digitization 
4) Data and integration issues may present 
challenges in other areas 
5) Utilities’ digital transformation management 
practices are relatively more mature than their use 
of digital technologies
Copyright © 2014 Capgemini. All Rights Reserved 8 
Digital transformation opportunities for Energy retailers 
Proactive 
listening to the 
market 
Digital 
Processes 
Customer 
Behavior 
understanding 
Customer Self 
services 
Personalization 
of services 
Correlating competitor 
rates against churn and 
monitoring social media 
Improve Internal 
experiences that 
enhance customer 
engagement Analytically led service 
Collaborative working 
with the customer in the 
field 
Consumption through 
smart metering and 
design specific offerings 
Field 
Staff 
Back 
Office 
Customer
5 major technology trends drive the digital transformation with composite 
solutions addressing business opportunities 
Copyright © 2014 Capgemini. All Rights Reserved 9 
Internet Collaboration 
Appification 
BPM 
Intelligent devices 
BPMS Big data 
Cloud 
Mobility 
Composite Digital 
Solutions 
Customer 
Experience 
Business 
model 
Operational 
Process
acwceilethra tyinog u 
Analytics
Governance 
Agile Interaction Layer 
Channel Service 
Personalization & 
Interaction Layer Insight Layer 
Orchestration & Integration Layer Layer 
Speed 
Value 
Industrialization 
Cost reduction 
Copyright © 2014 Capgemini. All Rights Reserved 11 
Capgemini’s H-model Architecture is fundamental for DUT: 
Enabling Speed of Digital Innovation 
Security 
Layer 
Application & Data Layer 
Robust Application 
Layer 
Overall 
Objectives 
Systems of 
Innovation 
Systems of 
Differentiation 
Systems of Records 
Speed 
Value 
Industrialization 
Cost reduction 
The H-model distinguishes the robust application layer and the agile interaction.
Copyright © 2014 Capgemini. All Rights Reserved 12 
Oracle Utilities Study – Revisited 
Enablers Barriers 
Cloud 
Readiness 
Customer Value 
Data Required 
1. Meter 
2. Outage 
3. SCADA 
4. Customer 
Operational Value 
Skills 
Source: Oracle Study 2013 “Utilities and Big Data: Accelerating the Drive to Value”
Governance and Change 
Management has emerged as a key 
requirement 
Copyright © 2014 Capgemini. All Rights Reserved 13 
Study Revisited – Where are we now? 
Drivers 
Use cases and data sources define 
value proposition of analytics 
solutions especially when resulting 
in operational efficiency 
Smart Meter programs are a 
catalyst for change but others have 
emerged (assets, pricing, customer, 
cross-functional) 
DW Enrichment 
Big data does not replace DW but is 
complementary. Tools 
Centers of Excellence and new 
analytics organizations (business 
and IT) are emerging 
Big Data 
Definition has changed for utilities – 
mostly focused on hadoop 
implementations and Information 
Management maturity 
Trends 
Visualization, self-services, Data 
Lake, predictive, real-time and 
operational / events 
Skill barriers are still there although 
mitigated by technology: cloud, 
engineered systems, data models. 
Enablers Barriers 
Cloud 
Readiness 
Customer Value 
1. Meter 
2. Outage 
3. SCADA 
4. Customer 
Operational Value 
Skills 
Data Required 
People
Copyright © 2014 Capgemini. All Rights Reserved 14 
Enablers – Big Data 
Big Data Appliance is 
Engineered for Savings 
Big Data SQL 
It’s not just about a hadoop implementation
Transformation Transformation 
Copyright © 2014 Capgemini. All Rights Reserved 15 
Enabling DUT (analytics) across the value chain 
Customer and 
External Market 
Rationalization 
Assets and 
People Backoffice 
Enterprise Wide Data Layer 
Generation Procurement Electric Gas Customer Corp Services 
How do we solution across all business units? 
How do we minimize data silos? 
How do we fund the enterprise solution?
Copyright © 2014 Capgemini. All Rights Reserved 16 
How do we proceed? 
People and Transformation 
! Develop an analytics strategy 
! Center of Excellence, analytics organization 
Big Data initiatives 
! Smart Grid or Smart Meter 
! Pilots and POCs 
1 0 
0 1 
1 1 0 
1 0 0 1 0 
0 1 
Data warehouse enrichment 
! BI technology upgrades to achieve strategic goals 
! Rationalize BI technology components 
1 0 1 1 
0 0 1 1 1 0 1 
0 1 0 0 1 1 0 1 
1 0 1 0 1 1 0 0 
1 0 1 1
acwceilethra tyinog u 
PG&E Story
0 1 
1 1 0 
Copyright © 2014 Capgemini. All Rights Reserved 18 
PG&E Analytics Journey 
We’re starting with … 
! Hundreds of data silos, thousands of data files, 
tens of thousands of Excel workbooks. 
! No data inventory, metadata, business glossary 
! Data is not integrated or correlated 
! Poor quality, unreliable, often late data 
! Limited analytics tool expertise 
! Basic BI is very manual and labor intensive 
! BI, analytics and data are not trusted; opinion 
drives decisions 
But we want … 
! Real-time situational awareness 
! Situational Intelligence 
! Predictive asset management 
! Grid & pipeline risk modeling 
! Predictive outage alerting 
! Volt/VAR control & optimization 
! Short/Medium/Long-term demand forecasting 
! Emergency response modeling 
! Reduce operating and project costs 
! Accelerate time to market 
1 0 
1 0 0 1 0 
0 1
Copyright © 2014 Capgemini. All Rights Reserved 19 
The Digital Utility 
Data is the life-blood of the Digital Utility
Analytics 
Center for 
Excellence 
Copyright © 2014 Capgemini. All Rights Reserved 20 
Analytics Vision 
! Develop competency in 3 Core 
Capabilities for Analytics Success 
! Align Roles of Business and IT 
– IT’s Role: Provide trusted 
data and analytics tools to 
the Business 
– Business’ Role: Develop and 
apply information to high-value 
decisions and processes 
! Establish Analytics Center for 
Excellence 
! Establish Enterprise Information 
Governance 
Enterprise 
Information 
Governance 
Data 
Management 
& Analytics 
Business 
IT 
Today Target 
Information-driven 
Culture 
Information 
Factory 
Data 
Management 
PEOPLE PROCESS TECHNOLOGY 
Analytics 
Developers 
Business 
IT
Copyright © 2014 Capgemini. All Rights Reserved 21 
Where are we now? 
Underway … 
! Data Management and Analytics Strategy 
! Strategic plans are gaining support 
! Influencing some key projects: 
! STAR 
! GOSI 
! IKON 
! STDF 
! Data Management & Analytics Organization 
! Analytics Center for Excellence 
! Enterprise Information Governance 
On the horizon… 
! Inventory our data and data stores 
! Consolidate into a few core platforms 
! Virtualize to accelerate delivery 
! Analytics sandboxes 
! Monitor, measure, & assure data quality 
! Advance our analytics skills and maturity 
! Introduce new tools and methods 
! Pervasive Intelligence 
! Enterprise funding model
Copyright © 2014 Capgemini. All Rights Reserved 22 
Contact Information 
Dave 
DuCharme 
VP NA Utilities Leader 
david.ducharme@capgemini.com 
Victor 
Jimenez 
Utilities Executive 
victor.jimenez@capgemini.com 
Mike 
Swatek 
Enterprise Information Architect 
mike.swatek@pge.com
www.capgemini.com 
The information contained in this presentation is proprietary. 
Copyright © 2014 Capgemini. All rights reserved. 
Rightshore® is a trademark belonging to Capgemini. 
About Capgemini 
With almost 140,000 people in over 40 countries, Capgemini is one of the world's 
foremost providers of consulting, technology and outsourcing services. The Group 
reported 2013 global revenues of EUR 10.1 billion. 
Together with its clients, Capgemini creates and delivers business and technology 
solutions that fit their needs and drive the results they want. A deeply multicultural 
organization, Capgemini has developed its own way of working, 
the Collaborative Business Experience™, and draws on Rightshore®, its worldwide 
delivery model. 
Learn more about us at www.capgemini.com.

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Herding Cats in the Digital World

  • 1. with you Herding Cats in the Digital World David DuCharme, Victor Jimenez Mike Swatek Oracle OpenWorld | 29 September 2014
  • 2. Copyright © 2014 Capgemini. All Rights Reserved 2 Presenters David DuCharme, VP NA Utilities, Capgemini David leads the Utility practice in North America for Capgemini. He brings many years of experience in the energy industry covering a wide range of initiatives including multi-state utility mergers, the reorganization of several state run utilities, the rollout of smart meter/ smart grid across North America and most recently operational excellence. Mike Swatek, Enterprise Information Architect, Pacific Gas and Electric Mike joined PG&E to lead Enterprise Information Architecture in 2012 after developing and implementing an Information Management and Business Intelligence strategy for Bank of Hawaii that contributed to substantial performance improvements across the bank, helped to minimize the impact of the banking crisis of 2008 to Bank of Hawaii, and contributed to Bank of Hawaii being chosen as the Nation's Best Bank by Forbes Magazine in 2009 and 2010 and number two in 2011. Victor Jimenez, Energy & Utilities Executive, Capgemini Victor has 20 years of experience in the utility industry. In his current role, Mr. Jimenez leads Capgemini’s utility analytics and Oracle solutions. Prior to joining Capgemini, Mr. Jimenez held positions as an executive at Oracle and senior technology roles at a utility.
  • 3. Copyright © 2014 Capgemini. All Rights Reserved 3 Agenda Digital Utilities Transformation Challenges Analytics PG&E Story
  • 4. Digital Utility Transformation (DUT): The changing digital relationships at two ends of the utility value chain Transformation Transformation Customer and External Market Copyright © 2014 Capgemini. All Rights Reserved 4 Rationalization Assets and People Backoffice = Application Count Across the Value Chain Companies that embrace digital transformation financially outperform their peers by 26% - Digital Transformation Study Conducted by Capgemini and MIT Enterprise Wide Data Layer
  • 5. Copyright © 2014 Capgemini. All Rights Reserved 5 Some industries are more mature than others… Average industry maturity* * Average maturity of industries for which we received at least 20 survey responses Telecomm High Technology Retail Banking Travel and hospitality Consumer Packaged Goods Pharmaceuticals Insurance Utilities Manufacturing Telecomm High Technology Retail Banking Travel and hospitality Consumer Packaged Goods Pharmaceuticals Insurance Utilities Manufacturing FASHIONISTAS DIGIRATI BEGINNERS CONSERVATIVES Digital intensity Transforma>on management intensity
  • 6. Copyright © 2014 Capgemini. All Rights Reserved 6 Every Industry has Digital Leaders “Utilities are in great majority conservatives" “There is a great consensus around the transformative potential of Digital Technologies, although with limited hope for significantly increasing revenue"
  • 7. Copyright © 2014 Capgemini. All Rights Reserved 7 Key messages from the Utilities sample 1) Utilities have only started adopting digital technologies in specific areas such as the customer experience. Our European retail benchmark shows that customer satisfaction and optimized channel mix (3 at the most) are necessary for reaching low cost to serve 2) Analytics is not widely used in either customer or operational applications 3) Untapped opportunities may exist in worker enablement and process digitization 4) Data and integration issues may present challenges in other areas 5) Utilities’ digital transformation management practices are relatively more mature than their use of digital technologies
  • 8. Copyright © 2014 Capgemini. All Rights Reserved 8 Digital transformation opportunities for Energy retailers Proactive listening to the market Digital Processes Customer Behavior understanding Customer Self services Personalization of services Correlating competitor rates against churn and monitoring social media Improve Internal experiences that enhance customer engagement Analytically led service Collaborative working with the customer in the field Consumption through smart metering and design specific offerings Field Staff Back Office Customer
  • 9. 5 major technology trends drive the digital transformation with composite solutions addressing business opportunities Copyright © 2014 Capgemini. All Rights Reserved 9 Internet Collaboration Appification BPM Intelligent devices BPMS Big data Cloud Mobility Composite Digital Solutions Customer Experience Business model Operational Process
  • 11. Governance Agile Interaction Layer Channel Service Personalization & Interaction Layer Insight Layer Orchestration & Integration Layer Layer Speed Value Industrialization Cost reduction Copyright © 2014 Capgemini. All Rights Reserved 11 Capgemini’s H-model Architecture is fundamental for DUT: Enabling Speed of Digital Innovation Security Layer Application & Data Layer Robust Application Layer Overall Objectives Systems of Innovation Systems of Differentiation Systems of Records Speed Value Industrialization Cost reduction The H-model distinguishes the robust application layer and the agile interaction.
  • 12. Copyright © 2014 Capgemini. All Rights Reserved 12 Oracle Utilities Study – Revisited Enablers Barriers Cloud Readiness Customer Value Data Required 1. Meter 2. Outage 3. SCADA 4. Customer Operational Value Skills Source: Oracle Study 2013 “Utilities and Big Data: Accelerating the Drive to Value”
  • 13. Governance and Change Management has emerged as a key requirement Copyright © 2014 Capgemini. All Rights Reserved 13 Study Revisited – Where are we now? Drivers Use cases and data sources define value proposition of analytics solutions especially when resulting in operational efficiency Smart Meter programs are a catalyst for change but others have emerged (assets, pricing, customer, cross-functional) DW Enrichment Big data does not replace DW but is complementary. Tools Centers of Excellence and new analytics organizations (business and IT) are emerging Big Data Definition has changed for utilities – mostly focused on hadoop implementations and Information Management maturity Trends Visualization, self-services, Data Lake, predictive, real-time and operational / events Skill barriers are still there although mitigated by technology: cloud, engineered systems, data models. Enablers Barriers Cloud Readiness Customer Value 1. Meter 2. Outage 3. SCADA 4. Customer Operational Value Skills Data Required People
  • 14. Copyright © 2014 Capgemini. All Rights Reserved 14 Enablers – Big Data Big Data Appliance is Engineered for Savings Big Data SQL It’s not just about a hadoop implementation
  • 15. Transformation Transformation Copyright © 2014 Capgemini. All Rights Reserved 15 Enabling DUT (analytics) across the value chain Customer and External Market Rationalization Assets and People Backoffice Enterprise Wide Data Layer Generation Procurement Electric Gas Customer Corp Services How do we solution across all business units? How do we minimize data silos? How do we fund the enterprise solution?
  • 16. Copyright © 2014 Capgemini. All Rights Reserved 16 How do we proceed? People and Transformation ! Develop an analytics strategy ! Center of Excellence, analytics organization Big Data initiatives ! Smart Grid or Smart Meter ! Pilots and POCs 1 0 0 1 1 1 0 1 0 0 1 0 0 1 Data warehouse enrichment ! BI technology upgrades to achieve strategic goals ! Rationalize BI technology components 1 0 1 1 0 0 1 1 1 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 1 0 0 1 0 1 1
  • 17. acwceilethra tyinog u PG&E Story
  • 18. 0 1 1 1 0 Copyright © 2014 Capgemini. All Rights Reserved 18 PG&E Analytics Journey We’re starting with … ! Hundreds of data silos, thousands of data files, tens of thousands of Excel workbooks. ! No data inventory, metadata, business glossary ! Data is not integrated or correlated ! Poor quality, unreliable, often late data ! Limited analytics tool expertise ! Basic BI is very manual and labor intensive ! BI, analytics and data are not trusted; opinion drives decisions But we want … ! Real-time situational awareness ! Situational Intelligence ! Predictive asset management ! Grid & pipeline risk modeling ! Predictive outage alerting ! Volt/VAR control & optimization ! Short/Medium/Long-term demand forecasting ! Emergency response modeling ! Reduce operating and project costs ! Accelerate time to market 1 0 1 0 0 1 0 0 1
  • 19. Copyright © 2014 Capgemini. All Rights Reserved 19 The Digital Utility Data is the life-blood of the Digital Utility
  • 20. Analytics Center for Excellence Copyright © 2014 Capgemini. All Rights Reserved 20 Analytics Vision ! Develop competency in 3 Core Capabilities for Analytics Success ! Align Roles of Business and IT – IT’s Role: Provide trusted data and analytics tools to the Business – Business’ Role: Develop and apply information to high-value decisions and processes ! Establish Analytics Center for Excellence ! Establish Enterprise Information Governance Enterprise Information Governance Data Management & Analytics Business IT Today Target Information-driven Culture Information Factory Data Management PEOPLE PROCESS TECHNOLOGY Analytics Developers Business IT
  • 21. Copyright © 2014 Capgemini. All Rights Reserved 21 Where are we now? Underway … ! Data Management and Analytics Strategy ! Strategic plans are gaining support ! Influencing some key projects: ! STAR ! GOSI ! IKON ! STDF ! Data Management & Analytics Organization ! Analytics Center for Excellence ! Enterprise Information Governance On the horizon… ! Inventory our data and data stores ! Consolidate into a few core platforms ! Virtualize to accelerate delivery ! Analytics sandboxes ! Monitor, measure, & assure data quality ! Advance our analytics skills and maturity ! Introduce new tools and methods ! Pervasive Intelligence ! Enterprise funding model
  • 22. Copyright © 2014 Capgemini. All Rights Reserved 22 Contact Information Dave DuCharme VP NA Utilities Leader david.ducharme@capgemini.com Victor Jimenez Utilities Executive victor.jimenez@capgemini.com Mike Swatek Enterprise Information Architect mike.swatek@pge.com
  • 23. www.capgemini.com The information contained in this presentation is proprietary. Copyright © 2014 Capgemini. All rights reserved. Rightshore® is a trademark belonging to Capgemini. About Capgemini With almost 140,000 people in over 40 countries, Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. The Group reported 2013 global revenues of EUR 10.1 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business Experience™, and draws on Rightshore®, its worldwide delivery model. Learn more about us at www.capgemini.com.