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RESEARCH UPDATE | Real-Time Analytics Case Studies

A “Smart” Approach to Big Data
in the Energy Industry
CenterPoint Energy’s widely acclaimed smart grid delivers energy information in real time to improve
safety, lower costs and raise customer satisfaction.
BY JOE MULLICH

I

n 2009, long before the term “big data” had entered the business lexicon, CenterPoint Energy
launched an initiative to dramatically increase its stores of information—and ramp up the types

of insights it could glean from those huge stockpiles of customer data.

CenterPoint
Energy at a Glance

CenterPoint, which serves more than five million
metered electric and gas customers in the southeastern

}  eadquarters:
H
Houston, TX
}  ervices: Electrical
S
transmission and
distribution, natural gas
distribution, interstate
pipelines and field
services
}  ervice Areas: Arkansas,
S
Louisiana, Minnesota,
Mississippi, Oklahoma
and Texas
}  et income:
N
$1.357 billion
}  mployees: 8,600
E

United States, implemented an aggressive multi-year

www.centerpointenergy.com

technology has become a showcase for how big data

Source: CenterPoint Energy

smart grid plan. A smart grid provides unprecedented
amounts of information about the health and energy
efficiency of the grid—the meters, transformers,
switches and other technology that are needed to
provide electricity today.
The original pilot program found that consumers could
control their home energy use as a result of the usage
information provided to them by the smart meters.
But as the number of smart meters has swelled, the
and analytics can transform an entire industry with

Top 10 North American Utilities in
Smart Grid Maturity
Utility	                              Average       State	
                             Maturity	
	
		
CenterPoint Energy	
4.2	
TX	
Pacific Gas  Electric	
4.2	
CA	
San Diego Gas  Electric	 4.2	
CA	
Southern California	
4.0	
CA	
Edison

  Electric 	
Customers

Arizona Public Service	
Burbank Water  Power	
Commonwealth Edison	
EPB		
Florida Power  Light	
Oklahoma Gas  Electric	

1,100,000
53,000
4,000,000
174,000
4,600,000
833,000

3.6	
3.6	
3.6	
3.6	
3.6	
3.6	

AZ	
CA	
IL	
TN	
FL	
OK	

2,280,000
5,100,000
1,400,000	
1,100,000

Source: “The Utility Smart Grid Outlook in North America 2013,”
GTM Research

information insights not available before. CenterPoint
was recently cited as having one of the most mature

As a result, the company estimates it has resolved six

smart grid deployments in North America, providing

million service orders without having the need to visit the

“utilities across the globe a yardstick by which to set

location of the issue. Additionally, the company service

goals and measure best practices” that are needed to

fleet reduced fuel consumption by 600,000 gallons

develop a successful smart grid plan.

and fuel emissions by 5,400 metric tons. Although the

1

financial impact has been impressive, Pratt says some
Dr. Steven Pratt, IT-corporate technology officer at

of the other benefits of big data and analytics have been

Houston-based CenterPoint, notes the real-time

even more important.

information provided by the intelligent meters has
significantly improved efficiency and reduced costs
at the utility. “We used to read 88,000 meters a day

“Our number-one objective in implementing a smart grid

manually and now can gather 221 million readings a day

is to drive real-time solutions to ensure the safety of our

electronically,” he says. “We have dramatically reduced

customers and employees,” Pratt says. “We are dealing

time to diagnosis. We can tell if an incident, such as a

with electricity, which can injure or kill someone. Our

power outage, is related to something inside a customer’s
1. “CenterPoint Energy, PGE and SDGE
at Top of the Smart Grid Class in North
America.” greentechgrid:, April 24, 2013.
http://goo.gl/U4MDGb

The Real-Time Advantage

ability to diagnose issues in real time is critical. Now, we

house that they are responsible for—or if it’s something

can quickly determine if a power line is down and fix a

on our side of the meter that we need to address.”

live wire on the street before someone touches it.”

OCTOBER 2013 | © Copyright 2013. Bloomberg L.P. All rights reserved.
RESEARCH UPDATE | Real-Time Analytics Case Studies

CenterPoint uses in-memory computing, which can
aggregate and analyze huge volumes of data from many

CenterPoint Energy’s Big Data Mandate

different sources much more quickly than traditional

} mprove employee and customer safety
I

technology. This computing power, together with

} dentify issues faster—often before customers
I

visualization and business intelligence software, is

realize them

necessary for analyzing many complex problems, such

}  se workforce time and resources more efficiently
U

“The value of data

as addressing the deceptive nature of power outages.

}  aise customer satisfaction, conserve energy and
R

mining is finding out

If an area loses power, the assumption might be that

what you don’t intuitively

the issue is a circuit breaker or transformer. However, a

know.”

faulty transformer could hide a broader problem.

eliminate “information disconnects”

CenterPoint’s IT Solutions
} mplemented a smart grid to gather information in
I

“When you are looking at this situation manually, without

—
­ DR.  STEVEN PRATT,
CENTERPOINT ENERGY

smart devices, you can’t quickly diagnose when a problem
is indicative of a bigger issue,” Pratt says. “The value of
data mining is finding out what you don’t intuitively know.”
Big data and analytics enable CenterPoint to anticipate
problems. By immediately gathering and analyzing

real time
}  dopted big data analytics and visualization
A
technology to troubleshoot problems faster and
improve customer service
}  reated the Customer Vision Platform to segment
C
customers better and provide more personalized
customer service

power usage information, ultimately the utility may shed
electricity load when appropriate, without impacting
critical facilities. The smart grid can also alert the utility

For example, in the past, CenterPoint gauged its level

to small fluctuations that go unnoticed in a person’s

of service using customer surveys, but the response

house but signal a power loss may be imminent.

rate for the surveys was so low that it was difficult to get

“Before, we didn’t know about a problem until a

a clear picture. Now, the utility is turning to new tools,

customer called,” he says.

like customer sentiment analysis, which enables it to
analyze comments from customers on the Web. For

Along those lines, the utility is using external information

example, the company’s Customer Vision Platform—an

such as weather forecasts to augment its big data

integrated services application now in development—will

collection. This weather data is needed to predict future

pull data from different areas of the business and enable

events; for example, determining the likely magnitude

analysis of the customer experience from multiple

of an outage if a storm occurs based on historical data,

angles. Ultimately, the platform will streamline customer

the age of the equipment in the area and other factors.

interactions across all channels in the company’s natural

“That allows us to have the right resources in place even

gas distribution, electric transmission and distribution,

before the storm comes through,” Pratt says.

and Home Service Plus businesses.2

As a result, the utility is able to ensure service is restored as

In time, CenterPoint hopes to leverage the Customer

quickly as possible while using resources more efficiently.

Vision Platform to segment customers and market to
them in a more personalized way based on their actual

Better Service Through Analytics

needs. “If we can provide specific energy services that

As the use of smart grid technology grows, Pratt says

will truly make our customers’ lives easier, we know we

the industry will need to focus more on how analytics

are using the data to serve them better,” Pratt says.

can improve customer service. “There has been a lot of

“And that’s what big data and analytics is all about.” •

hype around big data, so you need to identify use cases
for your company,” he says. “You may need a different
2. “CenterPoint Energy Orders New
Customer Vision Platform.” Transmission 
Distribution World, April 10, 2013.
http://goo.gl/FqbJ48

2 |

set of technology, applications and capabilities than the
company right next door.”

Bloomberg Businessweek Research Services

Joe Mullich is a freelance business and technology
writer based in Sherman Oaks, Calif.
This research project was funded by a grant from SAP.
SPONSOR’S STATEMENT

Big Data Analytics Delivers Real-Time
Insights for Energy, Process Industries

N

ew research, qualitative interviews and the

Are you able to manage your assets efficiently? Are

report from Bloomberg Businessweek

you able to deliver the right insight to your internal

Research Services clearly show that energy

stakeholders to support decision-making and

and process industries struggle to leverage big data

customer service? Second, define your vision for the

and analytics today to improve profitability, mitigate

future. For example, how will your customer needs

risk and increase expectations for returns on

change? How will your company’s offerings need to

investments in these technologies.

change? How will you deliver products and services
to your future customers? Finally, consider taking a

SAP’s Recipe for
Success

Many companies face inflexible legacy systems,

}  AP HANA platform
S
handles your big data
challenges and delivers
real-time insights
}  AP BusinessObjects
S
Business Intelligence
suite enables every
individual in the
organization to
make fact-based
decisions via easily
accessible and relevant
information whenever
and wherever needed
}  AP Lumira is an agile
S
data visualization
solution that helps
decision-makers
easily discover unique
insights
}  AP Predictive
S
Analysis empowers
business users
with predictive and
advanced analytics
}  AP Solutions for
S
Social Media is for
analyzing social data
and improving business
customer experience
}  AP Services help
S
you differentiate
your company and
make more profitable
business decisions

volumes of a wide variety of data (structured, semi-

The most immediate value SAP HANA and

structured and unstructured). This creates what is

analytics can provide utility companies—

known as the big data problem. SAP’s energy and

independent systems operators (ISOs) that must

process industry team discusses how technology

handle large quantities of data every day—is to

innovations and real-time insights can help energy

keep the power markets functioning, detect fraud

and process industry companies overcome these

and theft, and identify unbilled accounts. Energy

challenges and drive business results—including

and process companies are also starting to realize

better ways to reach customers, better asset

savings by using analytics to prioritize capital

maintenance and better risk mitigation.

investments in equipment and to integrate sales

gradual approach to your transformation.

lack of enterprise-wide analytic tools and large

and operations planning that support real-time
How do technology innovations solve the challenges

what-if simulations and social collaboration.

faced by most energy and process companies today?

In addition, by analyzing data from smart

A fast analytical platform that can handle large

meters, utilities can gain a better understanding of

amounts of transactional and process data quickly

customers’ consumption behavior.

and effectively in real time is the foundation
solution. The in-memory computing platform

Select a line of business or a region as a test bed and

called SAP HANA® is built to store and analyze big

implement an integrated, real-time reporting and

data from multiple systems. It helps companies

analytics solution. Using SAP HANA, energy and

achieve a more comprehensive—and instant—

process companies will quickly discover how the

view of their assets, customers and business

sheer speed and flexibility of the platform provide

performance. The solution from SAP consists of

immediate value to business users. Then adopt an

the SAP BusinessObjects Business Intelligence

enterprise-wide analytics strategy that includes big

platform, agile data visualization by SAP Lumira

data. The SAP BusinessObjects Business Intelligence

and the ability to leverage sophisticated models

suite will support that strategy. It is a simple,

and algorithms to predict customer behavior with

one-stop solution that supports big data, real-time

SAP Predictive Analysis.

insights, agile visualization and predictive analytics.

What can energy and process companies do to

For more information please visit this Web site:

derive real-time insights?

www.sap.com/appliedanalytics/

To start with, a company needs to assess its current
status. For example, are you able to maximize return
on capital invested? Are you able to keep up with
dynamic markets, customer needs and regulations?

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A “Smart” Approach to Big Data in the Energy Industry

  • 1. RESEARCH UPDATE | Real-Time Analytics Case Studies A “Smart” Approach to Big Data in the Energy Industry CenterPoint Energy’s widely acclaimed smart grid delivers energy information in real time to improve safety, lower costs and raise customer satisfaction. BY JOE MULLICH I n 2009, long before the term “big data” had entered the business lexicon, CenterPoint Energy launched an initiative to dramatically increase its stores of information—and ramp up the types of insights it could glean from those huge stockpiles of customer data. CenterPoint Energy at a Glance CenterPoint, which serves more than five million metered electric and gas customers in the southeastern } eadquarters: H Houston, TX } ervices: Electrical S transmission and distribution, natural gas distribution, interstate pipelines and field services } ervice Areas: Arkansas, S Louisiana, Minnesota, Mississippi, Oklahoma and Texas } et income: N $1.357 billion } mployees: 8,600 E United States, implemented an aggressive multi-year www.centerpointenergy.com technology has become a showcase for how big data Source: CenterPoint Energy smart grid plan. A smart grid provides unprecedented amounts of information about the health and energy efficiency of the grid—the meters, transformers, switches and other technology that are needed to provide electricity today. The original pilot program found that consumers could control their home energy use as a result of the usage information provided to them by the smart meters. But as the number of smart meters has swelled, the and analytics can transform an entire industry with Top 10 North American Utilities in Smart Grid Maturity Utility Average State Maturity CenterPoint Energy 4.2 TX Pacific Gas Electric 4.2 CA San Diego Gas Electric 4.2 CA Southern California 4.0 CA Edison Electric Customers Arizona Public Service Burbank Water Power Commonwealth Edison EPB Florida Power Light Oklahoma Gas Electric 1,100,000 53,000 4,000,000 174,000 4,600,000 833,000 3.6 3.6 3.6 3.6 3.6 3.6 AZ CA IL TN FL OK 2,280,000 5,100,000 1,400,000 1,100,000 Source: “The Utility Smart Grid Outlook in North America 2013,” GTM Research information insights not available before. CenterPoint was recently cited as having one of the most mature As a result, the company estimates it has resolved six smart grid deployments in North America, providing million service orders without having the need to visit the “utilities across the globe a yardstick by which to set location of the issue. Additionally, the company service goals and measure best practices” that are needed to fleet reduced fuel consumption by 600,000 gallons develop a successful smart grid plan. and fuel emissions by 5,400 metric tons. Although the 1 financial impact has been impressive, Pratt says some Dr. Steven Pratt, IT-corporate technology officer at of the other benefits of big data and analytics have been Houston-based CenterPoint, notes the real-time even more important. information provided by the intelligent meters has significantly improved efficiency and reduced costs at the utility. “We used to read 88,000 meters a day “Our number-one objective in implementing a smart grid manually and now can gather 221 million readings a day is to drive real-time solutions to ensure the safety of our electronically,” he says. “We have dramatically reduced customers and employees,” Pratt says. “We are dealing time to diagnosis. We can tell if an incident, such as a with electricity, which can injure or kill someone. Our power outage, is related to something inside a customer’s 1. “CenterPoint Energy, PGE and SDGE at Top of the Smart Grid Class in North America.” greentechgrid:, April 24, 2013. http://goo.gl/U4MDGb The Real-Time Advantage ability to diagnose issues in real time is critical. Now, we house that they are responsible for—or if it’s something can quickly determine if a power line is down and fix a on our side of the meter that we need to address.” live wire on the street before someone touches it.” OCTOBER 2013 | © Copyright 2013. Bloomberg L.P. All rights reserved.
  • 2. RESEARCH UPDATE | Real-Time Analytics Case Studies CenterPoint uses in-memory computing, which can aggregate and analyze huge volumes of data from many CenterPoint Energy’s Big Data Mandate different sources much more quickly than traditional } mprove employee and customer safety I technology. This computing power, together with } dentify issues faster—often before customers I visualization and business intelligence software, is realize them necessary for analyzing many complex problems, such } se workforce time and resources more efficiently U “The value of data as addressing the deceptive nature of power outages. } aise customer satisfaction, conserve energy and R mining is finding out If an area loses power, the assumption might be that what you don’t intuitively the issue is a circuit breaker or transformer. However, a know.” faulty transformer could hide a broader problem. eliminate “information disconnects” CenterPoint’s IT Solutions } mplemented a smart grid to gather information in I “When you are looking at this situation manually, without — ­ DR. STEVEN PRATT, CENTERPOINT ENERGY smart devices, you can’t quickly diagnose when a problem is indicative of a bigger issue,” Pratt says. “The value of data mining is finding out what you don’t intuitively know.” Big data and analytics enable CenterPoint to anticipate problems. By immediately gathering and analyzing real time } dopted big data analytics and visualization A technology to troubleshoot problems faster and improve customer service } reated the Customer Vision Platform to segment C customers better and provide more personalized customer service power usage information, ultimately the utility may shed electricity load when appropriate, without impacting critical facilities. The smart grid can also alert the utility For example, in the past, CenterPoint gauged its level to small fluctuations that go unnoticed in a person’s of service using customer surveys, but the response house but signal a power loss may be imminent. rate for the surveys was so low that it was difficult to get “Before, we didn’t know about a problem until a a clear picture. Now, the utility is turning to new tools, customer called,” he says. like customer sentiment analysis, which enables it to analyze comments from customers on the Web. For Along those lines, the utility is using external information example, the company’s Customer Vision Platform—an such as weather forecasts to augment its big data integrated services application now in development—will collection. This weather data is needed to predict future pull data from different areas of the business and enable events; for example, determining the likely magnitude analysis of the customer experience from multiple of an outage if a storm occurs based on historical data, angles. Ultimately, the platform will streamline customer the age of the equipment in the area and other factors. interactions across all channels in the company’s natural “That allows us to have the right resources in place even gas distribution, electric transmission and distribution, before the storm comes through,” Pratt says. and Home Service Plus businesses.2 As a result, the utility is able to ensure service is restored as In time, CenterPoint hopes to leverage the Customer quickly as possible while using resources more efficiently. Vision Platform to segment customers and market to them in a more personalized way based on their actual Better Service Through Analytics needs. “If we can provide specific energy services that As the use of smart grid technology grows, Pratt says will truly make our customers’ lives easier, we know we the industry will need to focus more on how analytics are using the data to serve them better,” Pratt says. can improve customer service. “There has been a lot of “And that’s what big data and analytics is all about.” • hype around big data, so you need to identify use cases for your company,” he says. “You may need a different 2. “CenterPoint Energy Orders New Customer Vision Platform.” Transmission Distribution World, April 10, 2013. http://goo.gl/FqbJ48 2 | set of technology, applications and capabilities than the company right next door.” Bloomberg Businessweek Research Services Joe Mullich is a freelance business and technology writer based in Sherman Oaks, Calif. This research project was funded by a grant from SAP.
  • 3. SPONSOR’S STATEMENT Big Data Analytics Delivers Real-Time Insights for Energy, Process Industries N ew research, qualitative interviews and the Are you able to manage your assets efficiently? Are report from Bloomberg Businessweek you able to deliver the right insight to your internal Research Services clearly show that energy stakeholders to support decision-making and and process industries struggle to leverage big data customer service? Second, define your vision for the and analytics today to improve profitability, mitigate future. For example, how will your customer needs risk and increase expectations for returns on change? How will your company’s offerings need to investments in these technologies. change? How will you deliver products and services to your future customers? Finally, consider taking a SAP’s Recipe for Success Many companies face inflexible legacy systems, } AP HANA platform S handles your big data challenges and delivers real-time insights } AP BusinessObjects S Business Intelligence suite enables every individual in the organization to make fact-based decisions via easily accessible and relevant information whenever and wherever needed } AP Lumira is an agile S data visualization solution that helps decision-makers easily discover unique insights } AP Predictive S Analysis empowers business users with predictive and advanced analytics } AP Solutions for S Social Media is for analyzing social data and improving business customer experience } AP Services help S you differentiate your company and make more profitable business decisions volumes of a wide variety of data (structured, semi- The most immediate value SAP HANA and structured and unstructured). This creates what is analytics can provide utility companies— known as the big data problem. SAP’s energy and independent systems operators (ISOs) that must process industry team discusses how technology handle large quantities of data every day—is to innovations and real-time insights can help energy keep the power markets functioning, detect fraud and process industry companies overcome these and theft, and identify unbilled accounts. Energy challenges and drive business results—including and process companies are also starting to realize better ways to reach customers, better asset savings by using analytics to prioritize capital maintenance and better risk mitigation. investments in equipment and to integrate sales gradual approach to your transformation. lack of enterprise-wide analytic tools and large and operations planning that support real-time How do technology innovations solve the challenges what-if simulations and social collaboration. faced by most energy and process companies today? In addition, by analyzing data from smart A fast analytical platform that can handle large meters, utilities can gain a better understanding of amounts of transactional and process data quickly customers’ consumption behavior. and effectively in real time is the foundation solution. The in-memory computing platform Select a line of business or a region as a test bed and called SAP HANA® is built to store and analyze big implement an integrated, real-time reporting and data from multiple systems. It helps companies analytics solution. Using SAP HANA, energy and achieve a more comprehensive—and instant— process companies will quickly discover how the view of their assets, customers and business sheer speed and flexibility of the platform provide performance. The solution from SAP consists of immediate value to business users. Then adopt an the SAP BusinessObjects Business Intelligence enterprise-wide analytics strategy that includes big platform, agile data visualization by SAP Lumira data. The SAP BusinessObjects Business Intelligence and the ability to leverage sophisticated models suite will support that strategy. It is a simple, and algorithms to predict customer behavior with one-stop solution that supports big data, real-time SAP Predictive Analysis. insights, agile visualization and predictive analytics. What can energy and process companies do to For more information please visit this Web site: derive real-time insights? www.sap.com/appliedanalytics/ To start with, a company needs to assess its current status. For example, are you able to maximize return on capital invested? Are you able to keep up with dynamic markets, customer needs and regulations?