SlideShare uma empresa Scribd logo
1 de 2
Baixar para ler offline
Utilities
Big & Fast Data: The Rise of Insight-Driven Business
Capgemini view
This industry is facing game-changing market disruptions. Changing attitudes in
energy consumption and major pending infrastructural changes are negatively
affecting both top and bottom lines. Consumers are becoming both producers
and competitors.
In this dynamic environment, the large established companies are threatened
by new niche players who are more agile and better at customer experience,
and have lower operating costs. The successful utility of tomorrow will be an
energy services company – a producer, gatherer and exchanger of information,
products and services that can significantly affect the lives of consumers.
Big data is highly pertinent to utilities because they increasingly need the ability
to convert the deluge of data from (for example) smart meters into insights that
will drive both short-term efficiency initiatives and long-term business value
creation. Three areas are critical: (1) improving customer satisfaction and building
new customer relationships; (2) achieving operational excellence by capturing
and analyzing the data needed to plan, build and operate assets on a near real-
time basis; and (3) developing new business models for energy conservation and
storage, as opposed to generation, together with ecosystems to shape related
revenue streams.
In addition, companies hope big data will help them address many of the
challenges associated with smart rollouts, including aging assets, difficult grid
operations, field services, and regulatory reporting.
Big data is highly
pertinent to utilities
because they
increasingly need the
ability to convert the
deluge of data into
insights
About
Capgemini
With almost 145,000 people in
over 40 countries, Capgemini
is one of the world’s foremost
providers of consulting,
technology and outsourcing
services. The Group reported 2014
global revenues of EUR 10.573
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 ExperienceTM
, and draws
on Rightshore®
, its worldwide
delivery model.
Learn more about us at
www.capgemini.com/insights-data
or contact us at
insights@capgemini.com
The information contained in this document is proprietary. ©2015 Capgemini.
All rights reserved. Rightshore®
is a trademark belonging to Capgemini.
Perception of big data as a disruptor
Given the changes described above, it is not surprising that in our study the utilities
industry stood out for its above-average experience and expectation of disruption
from new competitors moving in from other industries. In the past three years, 37%
of utilities respondents noted this disruption compared with 24% across all industries.
More surprisingly, in the next three years the difference was less marked, with 32%
of utilities expecting disruption compared with an average of 27%.
Awareness of big data opportunities
The utilities industry has a strong perception of the opportunities associated with big
data and is much more likely than average to agree strongly that big data provides
new business opportunities (42% strongly agreed compared with an average
of 32%).
Our experience confirms this finding. Though traditionally considered a conservative
adopter of technology, the utilities sector has a tremendous interest in big data as an
enabler of new revenue streams and a driver for operational transformation. It also
sees big data as a way to transform networks, improve generation performance,
drive operational excellence, and foster customer intimacy. There is increasing
interest from regulators and governments to ensure efficiencies and stability, and to
de-risk disruption to utilities, with big data being a key capability.
Techniques like data-driven predictive analytics and stochastic modeling are needed
to support smart rollout.
Implementation approach
Utilities companies were slightly behind the average in rolling out big data technology,
with 68% at some phase of implementing big data technology, compared with 71%
average overall. Our experience is that utilities vary a great deal in their maturity of big
data adoption, from those that are rolling out data lakes to those that are waiting for
feedback from early adopters.
However, 63% of utilities (versus an average for all industries of 56%) expected to
increase investment in big data over the next three years, suggesting that they may
soon forge ahead. Another sign of commitment was that utilities were more likely
than average to have restructured to exploit big data opportunities.
In our work with utilities companies, we see big data use cases from both IT and
business. The demand from the business arises from the drive for customer insights,
faster decision-making, and support for the smart grid infrastructure – since a truly
smart grid depends on suppliers’ ability to make sense of data in order to route
energy efficiently to the places where it is needed most. From IT come cost-based
use cases for offloading data from traditional database technologies to Hadoop, as
well as interest in consolidating legacy systems into a data lake.
37%of utilities respondents
noted this disruption
compared with 24%
across all industries

Mais conteúdo relacionado

Destaque

Smart Meter Data Analytic using Hadoop
Smart Meter Data Analytic using HadoopSmart Meter Data Analytic using Hadoop
Smart Meter Data Analytic using Hadoop
DataWorks Summit
 
Big Data big deal big business for utilities vesion 01
Big Data big deal big business for utilities vesion 01Big Data big deal big business for utilities vesion 01
Big Data big deal big business for utilities vesion 01
Marc Govers
 
Predictive maintenance
Predictive maintenancePredictive maintenance
Predictive maintenance
James Shearer
 

Destaque (11)

Energy and utilities
Energy and utilitiesEnergy and utilities
Energy and utilities
 
Smart Meter Data Analytic using Hadoop
Smart Meter Data Analytic using HadoopSmart Meter Data Analytic using Hadoop
Smart Meter Data Analytic using Hadoop
 
Predictive maintenance withsensors_in_utilities_
Predictive maintenance withsensors_in_utilities_Predictive maintenance withsensors_in_utilities_
Predictive maintenance withsensors_in_utilities_
 
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?
 
High Resolution Energy Modeling that Scales with Apache Spark 2.0 Spark Summi...
High Resolution Energy Modeling that Scales with Apache Spark 2.0 Spark Summi...High Resolution Energy Modeling that Scales with Apache Spark 2.0 Spark Summi...
High Resolution Energy Modeling that Scales with Apache Spark 2.0 Spark Summi...
 
[Tutorial] building machine learning models for predictive maintenance applic...
[Tutorial] building machine learning models for predictive maintenance applic...[Tutorial] building machine learning models for predictive maintenance applic...
[Tutorial] building machine learning models for predictive maintenance applic...
 
Big Data big deal big business for utilities vesion 01
Big Data big deal big business for utilities vesion 01Big Data big deal big business for utilities vesion 01
Big Data big deal big business for utilities vesion 01
 
Predictive maintenance
Predictive maintenancePredictive maintenance
Predictive maintenance
 
Medical University of South Carolina: Using Big Data and Predictive Analytics...
Medical University of South Carolina: Using Big Data and Predictive Analytics...Medical University of South Carolina: Using Big Data and Predictive Analytics...
Medical University of South Carolina: Using Big Data and Predictive Analytics...
 
Big Data Analytics in Energy & Utilities
Big Data Analytics in Energy & UtilitiesBig Data Analytics in Energy & Utilities
Big Data Analytics in Energy & Utilities
 
What is Big Data?
What is Big Data?What is Big Data?
What is Big Data?
 

Mais de Capgemini

Commercial Banking Trends book 2022
Commercial Banking Trends book 2022Commercial Banking Trends book 2022
Commercial Banking Trends book 2022
Capgemini
 
Top Trends in Payments 2022
Top Trends in Payments 2022Top Trends in Payments 2022
Top Trends in Payments 2022
Capgemini
 
Top Trends in Wealth Management 2022
Top Trends in Wealth Management 2022Top Trends in Wealth Management 2022
Top Trends in Wealth Management 2022
Capgemini
 
Retail Banking Trends book 2022
Retail Banking Trends book 2022Retail Banking Trends book 2022
Retail Banking Trends book 2022
Capgemini
 
Top Trends in Commercial Banking: 2021
Top Trends in Commercial Banking: 2021Top Trends in Commercial Banking: 2021
Top Trends in Commercial Banking: 2021
Capgemini
 
Top Trends in Retail Banking: 2021
Top Trends in Retail Banking: 2021Top Trends in Retail Banking: 2021
Top Trends in Retail Banking: 2021
Capgemini
 
Top Trends in Retail Banking: 2020
Top Trends in Retail Banking: 2020Top Trends in Retail Banking: 2020
Top Trends in Retail Banking: 2020
Capgemini
 

Mais de Capgemini (20)

Top Healthcare Trends 2022
Top Healthcare Trends 2022Top Healthcare Trends 2022
Top Healthcare Trends 2022
 
Top P&C Insurance Trends 2022
Top P&C Insurance Trends 2022Top P&C Insurance Trends 2022
Top P&C Insurance Trends 2022
 
Commercial Banking Trends book 2022
Commercial Banking Trends book 2022Commercial Banking Trends book 2022
Commercial Banking Trends book 2022
 
Top Trends in Payments 2022
Top Trends in Payments 2022Top Trends in Payments 2022
Top Trends in Payments 2022
 
Top Trends in Wealth Management 2022
Top Trends in Wealth Management 2022Top Trends in Wealth Management 2022
Top Trends in Wealth Management 2022
 
Retail Banking Trends book 2022
Retail Banking Trends book 2022Retail Banking Trends book 2022
Retail Banking Trends book 2022
 
Top Life Insurance Trends 2022
Top Life Insurance Trends 2022Top Life Insurance Trends 2022
Top Life Insurance Trends 2022
 
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーです
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーですキャップジェミニ、あなたの『RISE WITH SAP』のパートナーです
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーです
 
Property & Casualty Insurance Top Trends 2021
Property & Casualty Insurance Top Trends 2021Property & Casualty Insurance Top Trends 2021
Property & Casualty Insurance Top Trends 2021
 
Life Insurance Top Trends 2021
Life Insurance Top Trends 2021Life Insurance Top Trends 2021
Life Insurance Top Trends 2021
 
Top Trends in Commercial Banking: 2021
Top Trends in Commercial Banking: 2021Top Trends in Commercial Banking: 2021
Top Trends in Commercial Banking: 2021
 
Top Trends in Wealth Management: 2021
Top Trends in Wealth Management: 2021Top Trends in Wealth Management: 2021
Top Trends in Wealth Management: 2021
 
Top Trends in Payments: 2021
Top Trends in Payments: 2021Top Trends in Payments: 2021
Top Trends in Payments: 2021
 
Health Insurance Top Trends 2021
Health Insurance Top Trends 2021Health Insurance Top Trends 2021
Health Insurance Top Trends 2021
 
Top Trends in Retail Banking: 2021
Top Trends in Retail Banking: 2021Top Trends in Retail Banking: 2021
Top Trends in Retail Banking: 2021
 
Capgemini’s Connected Autonomous Planning
Capgemini’s Connected Autonomous PlanningCapgemini’s Connected Autonomous Planning
Capgemini’s Connected Autonomous Planning
 
Top Trends in Retail Banking: 2020
Top Trends in Retail Banking: 2020Top Trends in Retail Banking: 2020
Top Trends in Retail Banking: 2020
 
Top Trends in Life Insurance: 2020
Top Trends in Life Insurance: 2020Top Trends in Life Insurance: 2020
Top Trends in Life Insurance: 2020
 
Top Trends in Health Insurance: 2020
Top Trends in Health Insurance: 2020Top Trends in Health Insurance: 2020
Top Trends in Health Insurance: 2020
 
Top Trends in Payments: 2020
Top Trends in Payments: 2020Top Trends in Payments: 2020
Top Trends in Payments: 2020
 

Último

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 

Último (20)

08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 

Big & Fast Data The Rise of Insight-Driven Business - Utilities

  • 1. Utilities Big & Fast Data: The Rise of Insight-Driven Business Capgemini view This industry is facing game-changing market disruptions. Changing attitudes in energy consumption and major pending infrastructural changes are negatively affecting both top and bottom lines. Consumers are becoming both producers and competitors. In this dynamic environment, the large established companies are threatened by new niche players who are more agile and better at customer experience, and have lower operating costs. The successful utility of tomorrow will be an energy services company – a producer, gatherer and exchanger of information, products and services that can significantly affect the lives of consumers. Big data is highly pertinent to utilities because they increasingly need the ability to convert the deluge of data from (for example) smart meters into insights that will drive both short-term efficiency initiatives and long-term business value creation. Three areas are critical: (1) improving customer satisfaction and building new customer relationships; (2) achieving operational excellence by capturing and analyzing the data needed to plan, build and operate assets on a near real- time basis; and (3) developing new business models for energy conservation and storage, as opposed to generation, together with ecosystems to shape related revenue streams. In addition, companies hope big data will help them address many of the challenges associated with smart rollouts, including aging assets, difficult grid operations, field services, and regulatory reporting. Big data is highly pertinent to utilities because they increasingly need the ability to convert the deluge of data into insights
  • 2. About Capgemini With almost 145,000 people in over 40 countries, Capgemini is one of the world’s foremost providers of consulting, technology and outsourcing services. The Group reported 2014 global revenues of EUR 10.573 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 ExperienceTM , and draws on Rightshore® , its worldwide delivery model. Learn more about us at www.capgemini.com/insights-data or contact us at insights@capgemini.com The information contained in this document is proprietary. ©2015 Capgemini. All rights reserved. Rightshore® is a trademark belonging to Capgemini. Perception of big data as a disruptor Given the changes described above, it is not surprising that in our study the utilities industry stood out for its above-average experience and expectation of disruption from new competitors moving in from other industries. In the past three years, 37% of utilities respondents noted this disruption compared with 24% across all industries. More surprisingly, in the next three years the difference was less marked, with 32% of utilities expecting disruption compared with an average of 27%. Awareness of big data opportunities The utilities industry has a strong perception of the opportunities associated with big data and is much more likely than average to agree strongly that big data provides new business opportunities (42% strongly agreed compared with an average of 32%). Our experience confirms this finding. Though traditionally considered a conservative adopter of technology, the utilities sector has a tremendous interest in big data as an enabler of new revenue streams and a driver for operational transformation. It also sees big data as a way to transform networks, improve generation performance, drive operational excellence, and foster customer intimacy. There is increasing interest from regulators and governments to ensure efficiencies and stability, and to de-risk disruption to utilities, with big data being a key capability. Techniques like data-driven predictive analytics and stochastic modeling are needed to support smart rollout. Implementation approach Utilities companies were slightly behind the average in rolling out big data technology, with 68% at some phase of implementing big data technology, compared with 71% average overall. Our experience is that utilities vary a great deal in their maturity of big data adoption, from those that are rolling out data lakes to those that are waiting for feedback from early adopters. However, 63% of utilities (versus an average for all industries of 56%) expected to increase investment in big data over the next three years, suggesting that they may soon forge ahead. Another sign of commitment was that utilities were more likely than average to have restructured to exploit big data opportunities. In our work with utilities companies, we see big data use cases from both IT and business. The demand from the business arises from the drive for customer insights, faster decision-making, and support for the smart grid infrastructure – since a truly smart grid depends on suppliers’ ability to make sense of data in order to route energy efficiently to the places where it is needed most. From IT come cost-based use cases for offloading data from traditional database technologies to Hadoop, as well as interest in consolidating legacy systems into a data lake. 37%of utilities respondents noted this disruption compared with 24% across all industries