Analysis of SAP in Australian energy infrastructure

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An analysis of SAP in Australian energy infrastructure

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In 2009 the Australian Government allocated $4.5 billion in support of renewable energy technologies with a target of 20% share of the entire energy market by 2020 (i.e. An increase from 20 terawatt hours to 60 terawatt hours). Ten years ago, during the nation’s era deregulation, natural gas reserves were more than doubled from 19.4 trillion cubic feet (Tcf) in 1998 to 44.6 (Tcf) in 1999. At present, new liquefied natural gas (LNG) and gas-to-liquids (GTL) facilities, pipelines are core in national energy sales both in Australia and abroad. During the first several years, supplies of natural gas outpaced domestic demand. Much effort was put into enterprise systems (ES) as a strategy of change management, toward better operational control of facility and infrastructure as the industry ramped up to its present position in the energy market. Of particular utility was the development of optimized software application programs (SAP) integration into network systems management protocols employed to monitor and track reserve infrastructure.

Origin Energy, the leading Australian supplier of natural gas reserves is the subject of this enterprise systems investigation. A fossil fuel, natural gas is exceptional as a generator of volume baseload electricity with big environmental payoffs in an approximately 50% reduction to the greenhouse emissions. Natural gas incorporation into the national ‘energy suite’ is part of Origin Energy’s lead partnership in the Australian government’s policy of ‘upstream developments, processing facilities and infrastructure’ (Australian Competition and Consumer Commission 2010). A production, power generation and energy retailing company, Origin Energy’s capacity to meet consumer demand as projected by national strategy is nothing short of a mega supply chain feat, as operations proving the ‘cluster development’ theory of risk; where companies are conjoined at certain nodes in the supply chain sharing infrastructure, power, and feed (Australia Daily). Performance to Origin Energy’s efforts in these areas is evidenced in the Company’s competitive market prospectus (Appendix A).

In the energy field, SAP is relevant to SCADA systems as software building blocks for control of industrial systems through remote sensing of raw data and commands out of control centers. Conduits for monitoring and sending commands to valves and switches, the data managed by these systems controls regulate flow rates and pressures in distribution. Analysis of data generated from SCADA operations feeds SAP databases at Origin; constituting a substantial IT systems activity in ES operations; instrumental to the integrated scope of service facilitation and operational oversight.

Where ‘zero’ inventory overload strategies are in effect, SAP has become inextricable in value to just-in-time delivery in the organizational supply chain. This is especially pertinent to energy supplier facility, as channel operations are at any time subject to a number of circumstantial or environmental hazards that can prove to be both costly and dangerous. Measures designed to handle automatic allocation of natural gas reserves, for example, do not account for interruptions in effluent cycles where chemical intrusions or technical errors are a factor. While risk assessment and management protocols may be standard in terms of industry specification, without SAP emergency control of such issues by companies like Origin at a systems operations level would be virtually impossible.

When Origin Energy’s stakes in energy supply began to climb during the natural gas advancement in the Australian and global market, strategic renewal of older prospectus to systems management as a strategy for sustainable growth impacted decision making about the Company’s future. Strategic renewal was found in the energy project integration management (PIM) concept of enterprise systems (ES) development or,

“large-scale, real-time, integrated application-software packages that use the computational, data storage, and data transmission power of modern information technology to support processes, information flows, reporting, and business analytics within and between complex organizations.”

Definition of ES here references all application of strategic resources where a network benefits from the planning, implementation and execution of standard systems approaches. Those solutions include: enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM), data warehousing, and software platforms on which those systems database applications are built (i.e. SAP). Legacy architecture existed at Origin and SAP useful in reconfiguration of ES networks to the extent that streamlined protocols; allowing new suppliers and systemic functions to be incorporated in response to technology updates and the Company’s own service capacity increases.

Organizational leaders in the energy field look to Origin Energy’s success, and ask: how did Australia’s lead energy corporation know that an SAP-based renewal strategy was in order? Since the mid-twentieth century, organizational theorists have looked to strategists like Kurt Lewin (1951) whom articulated an early process model of change management. Lewin’s dynamic still holds important insights for corporations like Origin Energy today, as they attempt to source issues impinging upon organizational growth, as illustrated in Table 1.

Table 1


1. Determine what needs to change

Organizational Survey (SAP)

Understand why change has to take place.

2. Ensure there is strong support from upper management

Use Stakeholder Analysis and Stakeholder Management to identify and create feedback system of support

Frame issues as one of organization-wide importance (IT systems integration)

3. Create the need for change

Craft a compelling message on why change has to occur

Vision and strategy to build evidence

Communicate the vision of change

Emphasize the “why.”

4. Manage and understand the doubts and concerns

Remain open to employee concerns related to change.


1. Communicate often

Consistency in communication during change cycle

Describe the benefits

Explain the effects


2. Dispel rumors

Answer questions openly and honestly

Deal with problems immediately

Iterate change as operational necessity

3. Empower action

Encourage employee involvement

Line managers offer direction

4. Involve people in the process

Generate short-term successes to reinforce the change

Negotiate with external stakeholders (i.e. unions)


1. Anchor the changes into the culture

Identity what supports the change

Identify barriers to sustained change

2. Develop ways to sustain the change

Ensure leadership support

Create a reward system

Establish feedback systems

Adapt the organizational structure

3. Provide support and training

Ongoing communications and inclusion

Table 1. Lewin’s change management model (Kritsonis, 2005)

In Seddon and Calvert’s study on ES systems collected data on 126 customer presentations at the SAP 2003 and 2005 Sapphire conferences, the scope of Lewin’s model is clarified in the 21st century business environment, where ‘unfreeze,’ ‘change,’ and ‘refreeze’ are an inherent process to the analysis, planning and implementation of SAP-based ES. The change management solutions described within the study’s outcomes are expressed as: 1) short-term factors established upon ‘live’ enactment of new IT systems platforms to the benefit of optimized logistics capacity at each decoupling point; whereas 2) long-term advances improved multi-scale enhancements to the organization in general. The findings indicated that all six (6) factors mentioned in the software simulations were found to be significant to organizational integration; and verified by participating senior management respondents on behalf of those organizations.

Shared diagnosis on multi-project ES implementation puts PIM at the nexus of decision making where communications on new information related to the variables in Origin’s change strategies, built organizational benefits from ES (OBES) into those projects. Incremental methodologies which comprise the framework to project management depend largely on coordinated development of systems over time; with variation in logistics and management functions according to geographic location and timeframe. An example of a simple two-part PIM ES strategy model where SAP systems upgrade is targeted is illustrated in Figure 1.

Figure 1

Figure 1. OBES Model (Seddon and Calvert, 2010).

The two-part segmentation of the OBES model is divided by short-term factors on the right side of the model, supporting the hypothesis that: 1) functional fit; and 2) overcoming organizational inertia are the key to success the first few years after a projects goes live. The left hand side represents long-term factors where integration, process optimization, and improved access to information, along with on-going ES improvement projects take place in the duration of the system life. Ranked prioritization of objectives is established according to temporal planning, and as the system integrates, optimizes, and improves networked access to information, real-time processes are translated through the abductive logics of artificial intelligence; making possible smoother administrative, logistics and operations activities. Representation of three (3) ES integration concepts are shown in Figure 2.

Figure 2

Figure 2. Three Models of ES integration and their outcomes (Seddon and Calvert, 2010).

Results from the ES project integration model in Figure 2 offer improvements to the value chain of channel operations. When Origin Energy shifted its focus to increased deployment of natural gas reserves, an ES model would have been necessary to ensure,

“better management decision making; improved financial management; faster, more accurate transactions; cost reduction; improved inventory and asset management; ease of expansion/growth and increased flexibility; and cycle-time reduction” (Seddon and Calvert, 2010).

Cost amortization is also assumed in the planning, as ES theory proposes that completion of the implementation cycle mechanizes organizational benefit as processes optimize operations; offsetting initial fiscal expenditures. Consideration of ES design is based on ‘functional fit,’ and almost always in service to existing processes. According to Seddon and Calvert, functional fit is as the first of six (6) drivers in a series of organizational forces. Functional fit is so critical to integration that tools advancement in this area is extensive. Data-flow diagrams, event driven process chains, and business process execution language (i.e. OASIS 2007) have all been designed to meet functional fit requirements as an aspect of IT systems capabilities. Standardized SAP used for command structures in logistics operations exemplifies the importance of the functional fit in relationships of distribution. Added value in the configuration of program codes is now industry specific, and infrastructure architectures within the energy sector are substantial as targets for exploitation of this programming capacity. Attendant to operations SAP, in everything from dashboards to retail operations inventory (ROI) systems, visual process composition tools further the concept of universality where ‘user friendly’ functional fit is required by support staff.

The second key benefit driver to OBES is the effect of overcoming organizational inertia with assimilation of updated inputs into systems management. Integration is the third driver and distinguishes ES from other strategic planning models. Integration leads to the fourth driver in outcomes represented by four (4) factors in the network strategy: 1) simplification of data used in human interface; 2) end-to-end visibility in real-time process optimization; 3) reduction of decision time; and 4) immediacy in front end user interface (Seddon and Calvert, 2010).

Process optimization (PO) constitutes the fifth driver to ES as process improvements increase. Six-Sigma experts look to process improvement as core competency to sustainable organizations, reflected in IT industry indexes where PO is first priority. Improved access to information substantiates the sixth driver, illustrated in the combined effect of SAP process optimization on information flows in Figure 3.

Figure 3

Figure 3. Process Optimization as final driver to OBES (Seddon and Calvert, 2010).

At Origin Energy, Australia, innovative enterprise-wide business intelligence solutions offered immediacy where other strategies to control of overflow of supply could not be sufficiently achieved in a short time span. This included implementation of a Lewin change model for ‘total’ integration of new administrative and logistical systems management. Equations in an ES costing exorbitant levels of investment finance each day the distributor did not meet levels of market demand by consumers for the ‘new’ energy resource. SAP offered one ready solution to the problem. Embedded analytics better facilitated transactional applications, so that the maturation of Origin’s ES systems offered management a viable mechanism from which to sustain growth.

With costly up front expenditures justified as the high risk loss exceeded market capacity, Origin Energy’s functional approach to its international business is one well supported by the accountability measured enabled by a well thought out multi-scale capacity building strategy as the PIM IT projects focused on in part to this discussion. Global investment in ES is extensive, and reaching upwards to the tens of billions in national capital investment. Despite cost and assimilation difficulties, the models proposed by software corporations in SAP and Sapphire have done exceptional business on large systems consolidation projects with large conglomerate energy entities. With the Kyoto Protocol’s 2020 emissions reductions goals in sight, it is likely that Australia and its partners in the energy field will continue to seek feasible and productive solutions wherever future improvements mitigate risk.

Appendix A

Australia’s Competitive Energy Market Landscape

KEY: Best of Group. Companies listed are Top Competitors.

Key Numbers

Origin Energy

AGL Energy

International Power

Santos Ltd.

Annual Sales ($ mil.)










Market Cap ($ mil.)



Origin Energy

AGL Energy

International Power

Santos Ltd.



Gross Profit Margin





Pre-Tax Profit Margin







Net Profit Margin







Return on Equity







Return on Assets







Return on Invested Capital








Origin Energy

AGL Energy

International Power

Santos Ltd.



Price/Sales Ratio




Price/Earnings Ratio





Price/Book Ratio




Price/Cash Flow Ratio





Origin Energy

AGL Energy

International Power

Santos Ltd.



Days of Sales Outstanding







Inventory Turnover





Days Cost of Goods Sold in Inventory





Asset Turnover







Net Receivables Turnover Flow







Effective Tax Rate






Origin Energy

AGL Energy

International Power

Santos Ltd.



Current Ratio







Quick Ratio







Leverage Ratio







Total Debt/Equity







Interest Coverage



Per Share Data ($)

Origin Energy

AGL Energy

International Power

Santos Ltd.



Revenue Per Share




Fully Diluted Earnings Per Share

from Total Operations





Dividends Per Share







Cash Flow Per Share




Working Capital Per Share




Long-Term Debt Per Share



Book Value Per Share




Total Assets Per Share





Origin Energy

AGL Energy

International Power

Santos Ltd.



12-Month Revenue Growth







12-Month Net Income Growth






12-Month EPS Growth






12-Month Dividend Growth





36-Month Revenue Growth







36-Month Net Income Growth





36-Month EPS Growth





36-Month Dividend Growth





A Guide to the Project Management Body of Knowledge (PMBOK® Guide) (2004).Third Edition, Paperback. Newtown Square, PA: Project Management Institute.

Davis, B.J. (2005). Prepare: seeking systemic solutions for technological crisis management. Knowledge and Process Management, 12(2), 123-131.

Kritsonis, A. (2005). Comparison of Change Theories. International Journal of Scholarly Academic Intellectual Diversity 8 (1).

Origin Energy (2010). Retrieved from:

Origin Energy (2010). Hoovers. Retrieved from:

Nelson, J. And McCormac, J. (2003). Structural Analysis: Using Classical and Matrix Methods. Surrey: John Wiley & Sons.

Seddon, P.B. And Calvert, C. (2010). A Multi-Project Model of Key Factors Affecting Organizational Benefits from Enterprise Systems. MIS Quarterly, 34(2), June 2010: 305-A11.

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