Ox Network:
An analysis of SAP in Australian energy infrastructure
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
Unfreeze
1. Determine what needs to change
Organizational Survey (SAP)
Understand why change has to take place.
2....
Data Warehousing Data Warehouse technology has changed the way that global organizations conduct business. Many have found it impossible to create a business strategy without a data warehouse. The purpose of this discussion is to research and explain the importance of data warehouse management. We will begin by defining data warehouse and describing the business uses for the technology. Our discussion will then focus of data warehouse management. We will examine the
Data Warehousing and Data Mining Executive Overview Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline
Similarly, the Air Force needed no only some intelligent reporting capabilities, but a way that Air Force personnel, government employees, and civilian IT contractors would work together in the evaluation of applications and reports in a more robust and real-time manner. "The intent was to provide the Keystone user community the ability to do more complex financial analysis and reporting on a "self-service" basis to reduce overall system maintenance and
because the system is designed to be able to handle complex queries for information much faster than are traditional databases, designing and implementing such an attack becomes more difficult and complex (Warigon, 1997). At the same time, the ease with which information in a data warehouse can be manipulated creates more significant problems than a traditional database should unauthorized access be obtained (TechFaq, 2010). While no database or information
In addition, the support of multiple taxonomies is also critical for a data warehouse, and to the extent the architects have created a database architecture that will provide for metadata definition and re-defining of taxonomies is the extent to which the data warehouse will have greater use in the organization. Without a strong focus on these aspects of data agility, a data warehouse can quickly become outmoded and only
Since poor data quality within a system often results in poor business decisions being made from this data, it is very important that each administrator or system architect look at each customer or end-user differently, in their own unique light. Since each end-user is different, and the needs of the customer often stem from the warehouse's ability to accurately store quality information, a system that dates back to the 1970's
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