This article is
about applications of BI in the energy sector.
My goal is to provide perspective on the industry for readers who are
not familiar with it, communicate how BI is used in the various segments of the
energy industry, and provide my
opinion on the opportunities for BI. A brief summary
is difficult There is a lot of information to cover because
of the scope of the industry, the large number of companies in it, and the
different ways in which BI can be applied make a brief summary
difficult (Table 1 presents a typical breakdown of the industry
and its key business issues).
The energy industry,
like most others, is beginning to use business intelligence (BI) technology to
aid management analysis and decision making. Accurate, usable, and timely information is
becoming recognized as an important factor in managing business
operations. We will look at the
business environment, the industry application of BI, and a summary of BI
opportunities for public utilities, oil and gas, and energy services industry
segments.
Public Utilities
Business Environment: Regulatory
requirements have
the most impact on the business environment for public
utilities. Deregulation has slowed
following the California energy crisis, Enron's collapse, and recent
disclosures of manipulation by energy traders, but deregulation it continues to be a business uncertainty
in states where it is being considered but not yet implemented.
Environmental impact
is also a critical factor.
Environmental impact affects emissions control at power stations, new
construction, and waste management for coal ash and nuclear waste. All of these add capital and operating
expense to the generation and distribution of electricity and natural gas.
Industry Application of BI: There
are several applications of BI in public utilities today. The most common are operations-focused
support of finance, customer service, and enterprise reporting. For the most part, utility companies are
using BI to deliver information that shortens reporting times, consolidates
data across the business, improves customer service, and assists overall
business operations.
A few utilities are
applying more advanced BI capabilities used in other industries. Some utilities, according to Brad Davids,
Vice President of Primen, Inc., a subsidiary of EPRI (Electric Power Research
Institute), “integrate customers’ energy patterns with consumer buying
behaviors, analyze data patterns, and determine likely buyers for value-added,
non-commodity products and services” such as green (environmentally friendly)
energy, whole-house surge protection, and other services. Using customer data enrichment and analysis
processes at the Salt River Project identified customers two to four times more
likely to buy “green” energy than the utility’s customer base as a whole.
Another advanced use
of BI is
demand management. Public utilities
such as Keyspan monitor actual and forecasted natural gas usage on a near
real-time basis and post the results.
This allows natural gas providers to adjust the volumes of natural gas
they put into the system. In the
electricity part of the business, this type of demand analysis is being
performed in system operations or network control centers based upon real-time
load analysis. However, industrial
customers continue to look at lowering their energy costs through cogeneration
and other options. Surveys have
indicated that such customers would be willing to have such capacities
dispatched by the utility. In this
situation, demand analysis will become information that affects power
generation.
Rates analysis
(pricing in the deregulated environment) is another application of BI. Regulatory agencies look for information and
analysis to justify changes in rates.
The approval process for rate changes is filled with regulators’
requests for new information and ad hoc analyses. BI is a natural application for this kind of environment. One utility used data from their customer
data warehouse to substantiate their rate request with data and analyses that
documented the impact on service quality.
Combining service data, operational data, financial data, and predictive
analysis is the natural focus of rates analysis.
Summary of BI Opportunities: Overall,
while there are several examples of BI applications, BI is used on a very
limited basis in public utilities. Few
utilities seem to use BI tools and technology on their own and those that do
use it to create operational reports and standard queries. In general, while some companies are using
BI diligently, there are significant opportunities to apply BI in the utility
industry today. Using BI to understand
business operations, control costs, and manage rates and pricing are
applications that can provide value to any public utility.
Oil and Gas
Business Environment: Mergers
and acquisitions have dominated the oil and gas industry over the past several
years. The large oil and gas companies
such as ExxonMobil, Royal Dutch/Shell, and BP have global operations, broad
business operations from exploration and production to distribution and retail
sales, and the challenge of integrating their multinational operations. The business is divided into two categories:
upstream, which includes exploration and production, and downstream, the
refining and distribution of oil and gas products.
Oil and gas products
are commodities and are therefore competitive based on price. This makes the industry cost conscious and
highly dependent upon the price of crude oil, the basic business driver in the
industry and the raw material for production.
The one basic
business factor that drives management is cost containment. Operationally, the refining and distribution
processes are at the heart of the business and, accordingly, there has been a
great deal of attention placed on enterprise resource planning (ERP) and supply
chain management (SCM) systems, especially in the challenge of integrating them
operationally in a multinational business.
This attention is due to two complementary factors: consolidation as a
result of mergers and acquisitions and efforts to minimize costs.
Industry Applications of BI: The
primary application of BI in oil and gas companies is to help management
consolidate operations and cut costs.
The basic goals have been to shorten the time required to create reports
and analyses, improve the accuracy of information, and create a single
information repository. The most common
application areas for BI have been to provide financial reports and analyses and
support business operations with a special focus on ERP.
Integrated financial
reporting and analysis has been a priority for many companies, as they work to
understand their financial situations and take action. This application of BI has shortened the
time required to produce financial reports and provided the ability to perform
ad hoc analyses. However, the problem
of consolidating financial data from subsidiaries and keeping it consistent and
accurate is an ongoing challenge.
This data consolidation
problem also exists in integrating information from ERP systems that support an
enterprise-wide view of individual subsidiaries ERP systems support major aspects of business operations, but
the implementations of ERP are inconsistent among company subsidiaries, even where
the same ERP package is used. Many
companies use the BI capabilities provided by their ERP vendor(s) to support
business operations with reports and analyses using the data embedded in their
ERP system.
Combining ERP and
non-ERP data creates a choice: use the proprietary data warehouse structure
provided by the ERP vendor or create a data warehouse independent of the ERP
vendor designed to meet the company’s information needs. Many companies have chosen the first
alternative,
because it is perceived to reduce costs and leverage the company’s investment
in its ERP system. However, this
approach may have constraints due to a set data structure and/or supporting
software provided by the vendor. The
second alternative is where companies have made major investments in CRM and
SCM applications as well. Rather than
select one major application as the enterprise-wide data warehouse, a BI
approach independent of these major operational applications is used.
Shell Oil took a
different approach to this information integration problem. Shell created software that would map
metadata for each data warehouse to enterprise-level data definitions and
descriptions that were needed for corporate reporting and queries. This metadata mapping allows
enterprise-level reporting incorporating data from subsidiaries whilste subsidiaries use their data
warehouse for their own business needs.
The technical approach worked so well that the software that performs
the information integration was spun off into an independent company, The
Kalido Group.
Summary of BI Opportunities: Oil
and gas is a global, cost competitive business. Technology investment priorities in the industry have been to
improve exploration, oil field recovery, and refinery operations. BI is a technology that can help management
cut costs and consolidate operations effectively, and one
that many oil and gas companies are beginning to take advantage of. The challenge is to integrate information
from across a global business. The opportunities
for using BI are to better understand business operations, control costs,
manage risks inherent in fluctuating crude oil prices, and (for those companies
with convenience stores as well as gas stations) use retail analysis by
category, shopping basket, inventory turns, and customer segment to understand
how best to benefit from this part of the business.
Energy Services
Business Environment: Oil
field services, engineering, and construction provide specialized services,
including outsourcing core business processes, to the rest of the energy
industry. Although specialized, these
firms can be very large, including global companies like Halliburton and
Bechtel. Companies in this industry
segment may specialize in upstream and downstream aspects of the oil and gas
business. They compete for projects
that are usually put out for bid and are therefore focused on cost containment.
Energy trading is
also part of energy services. Energy
traders perform an important function for large industrial energy users: they
help manage the risk associated with fluctuations in energy prices in a
deregulated environment. However, the
collapse of Enron and media stories of the shenanigans of some energy trading
companies have filled the news in recent months, creating a public image
problem for the industry. This creates
uncertainty for the energy trading business, deferring technology investment
plans.
Industry Applications of BI: Oil
field services, engineering, and construction use BI for financial analysis and
control, cost containment, and project tracking. It is important for the upstream services part of the business
(as it is for oil and gas companies) to analyze field production volumes,
production leases, market prices, and production expenses. Downstream services (as with oil and gas
companies) analyze supply chain performance, work management and capital investment strategies.
These companies
deliver services on a projects or contract basis. Financial and project tracking are cornerstones of the business
and BI technology is used mostly for financial analysis. Project tracking, work analysis, and
knowledge management are opportunity areas for BI in the non-trading part of
the energy services industry.
For energy trading,
the core business concern is managing overall financial risk. Using predictive analysis technology,
trading patterns, price fluctuations, and market demand modeling can help
determine risk.
Summary of BI Opportunities: The
energy services industry, like other segments of the energy business, uses BI
on a limited basis. Energy services
companies are entrepreneurial, and the challenge for BI advocates is to provide
BI solutions that enhance entrepreneurial ability and add value to the bottom
line. Industry opportunities for BI
applications include project performance and analysis, work analysis, inventory
analysis, and trading activity analysis.
The energy industry
as a whole is heavy industry at its finest: big money, big facilities, and, for
the most part, global scope.
Information, in general, is not yet widely seen as an essential
management tool that adds value to those who run the business. A critical success factor for those undertaking
BI initiatives in the energy industry is to implement solutions that provide
real payback through cost savings, production optimization, and enhancing
revenues.
Table 1.
Key
Business Issues: The
energy industry consists of finding, producing, and delivering energy in all
its forms: oil and gas; electricity; coal and uranium. The industry is capital-intensive – it takes
a lot of money to find the raw materials, produce, and distribute energy
products. Energy products are
commodities: oil, natural gas and electricity.
The net result is that optimizing production and maximizing return on
invested capital are critical to the industry as a whole.
|
Industry Segment
|
Energy-Related Components
|
Additional Characteristics /
Comments
|
|
Public Utilities
|
Electricity
Generation
|
· Coal
·
Nuclear
·
Hydro
·
Natural Gas
· Renewable (Solar, Wind, Tidal, etc.)
|
|
Electricity
Transmission
|
Independent System
Operators (ISO) – mostly in deregulated states – that get energy from where
it is produced to local distribution points
|
|
Electricity
Distribution
|
Distribution is
the part of the system that brings electricity to individual homes and
businesses
|
|
Gas Distribution
|
Distribution is
the part of the system that delivers natural gas to individual homes and
businesses
|
|
Marketing
|
These are
non-regulated subsidiaries for developing products and services that build on
the utility’s assets as well as independent companies marketing
energy-related products and services
|
|
Mining
|
Coal
|
Coal is the
biggest mining area in the energy industry by far (mining is included here
but not in this report)
|
|
Uranium
|
|
Oil and Gas
|
Exploration and
Production (E&P)
|
These companies
tend to be global in scope of operations and huge in scale. They include all the major oil companies,
refining operations, oil transportation, and so forth
|
|
Fuels
|
|
Gas Transport
|
Major gas pipeline
operations store and deliver natural gas to local gas utilities for
distribution
|
|
Energy Services
|
Oil Field Services
|
Oil field services
range from geological site assessments, securing mineral rights, and managing
oil field leases to equipping and supporting oil field development
|
|
Energy Trading
|
Trading covers
many aspects of energy including energy trading, energy futures trading,
energy price hedging instruments, and emission credits trading
|
|
Engineering
|
Engineering
services design and plan the structures and equipment used by energy
companies
|
|
Construction
|
Construction
companies specialize in building the large, complex structures needed in the
energy business (oil drilling platforms, dams, refineries, power plants, and
so forth)
|
Key Business Issues: The energy
industry consists of finding, producing, and delivering energy in all its
forms: oil and gas; electricity; coal and uranium. The industry is capital-intensive – it takes a lot of money to
find the raw materials, produce, and distribute energy products. Energy products are commodities: oil,
natural gas and electricity. The net
result is that optimizing production and maximizing return on invested capital
are critical to the industry as a whole.
This article was originally published in the August 2002 issue of DM Review (www.dmreview.com), a Thomson Media Group publication focusing on strategic solutions for business intelligence.
Richard Skriletz is the national managing principal for business intelligence and data warehousing at RCG Information Technology, a leading national provider of IT professional services. Skriletz has more than 30 years of experience in information technology and consulting services in the computer, insurance, banking, utilities, telecommunications and manufacturing industries. He passionately believes that business intelligence is a critical success factor for business today and that successful business intelligence requires a focus on improving business results and strategy. Skriletz may be reached via e-mail at rskrilet@rcgit.com.