The Reasoning for a Center of Excellence (CoE)

September 5, 2017 Tim Reimer 0 Comments

testThe adoption and implementation of the concept of a center of excellence (CoE) has become very popular in recent years within IT organizations. The push comes most often from software vendors who provide a large suite of applications such as ERP systems [1]. The purpose is to establish an organizational unit of experts within IT that is able to provide in greater depth cross-functional support of such applications to the business. The advantage of this approach is that the pooled resources of functional and technical experts are able to develop and solve business and technical problems faster, quickly adjust to changing business requirements, and provide the corporation with a new agility to manage their application landscape according to changing market demands.

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Business Process Mining: The Enterprise Monitoring Framework Part 3

August 2, 2017 Tim Reimer 0 Comments

testFollowing the discussion of monitoring business processes and services, the focus now shifts to a reference architecture that would provide the environment for collecting measurements in order to meet the objectives of BDIM, process mining, and general monitoring support. A monitoring reference architecture provides the framework to build an enterprise monitoring architecture. There have been various research studies conducted on monitoring frameworks for different environments and applications [1, 2, 4, 6]. Kanstrén and Savola [3] describe the fundamental requirements of a monitoring framework as being scalable, secure, correct, adaptive, and intrusive. As computing and application landscapes must support interoperability to function and exchange data and information, so do monitoring environments. Interoperability therefore is another significant requirement that a monitoring landscape needs to support.

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Business Process Mining: The opportunity to improve business process performance Part 2

July 4, 2017 Tim Reimer 0 Comments

testThe life cycle of a business process is managed through an overall activity called business process management, which has the following five distinct phases: business process design, development, execution, monitoring, and improvement. The same idea is applied by Dumas et al. [1] using similar phases. In contrast, the presented model places more emphasis on collecting metrics, monitoring the process, and using the generated data in a subsequent step for process mining. For the longest time, the emphasis has been on business process discovery, design, and implementation. The subsequent phases of business process management tended to be neglected because of budgetary constraints, because there was no infrastructure in place to collect and measure the performance of business processes, and because there was a lack of general awareness about the importance of doing so.

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Business Process Mining: The opportunity to improve business process performance Part 1

June 6, 2017 Tim Reimer 0 Comments

testThe computing landscapes of enterprises are experiencing a significant change through virtualization and cloud computing. This is increasing the complexities of sustaining and maintaining these landscapes. The ease by which virtual servers can be created or cloned has moved the problem of “server sprawling” from the hardware level to the virtualization level. Resource limitations imposed are only driven by the actual server hardware capacity. Adding cloud computing to the equation, which proposes computing as utility and postulates theoretically unlimited resource access, expands the server-sprawling problem. Today it is not unusual for IT to add hardware or software resources in flight without disruption of services to the business. Not only that, but virtual servers can be temporarily moved to different data centres to take advantage of better pricing models. Should a business process experience degradation in performance, virtualization allows resources to be added to address the temporary bottleneck.

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