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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

The deployment and roll-out follows the same agile principles as the development. Each MVP process scenario is deployed while the existing processes are left to handle the excluded cases. For example, specific insurance claims or purchase requisitions of a manufacturing company, in place. The kind of process execution (using RPA or using the former as-is process) is defined based on a decision table reflecting the current development status of the RPA solution and the enabled processes.

Formal testing, as with any application, is still often a critical necessity to minimize business risk. However, in more and more RPA initiatives, this risk is at least partly mitigated through the immediate execution of the process through users. If issues occur, users can still switch back to the traditional process until the RPA configuration is adjusted. Innovation becomes part of the day-to-day business. This approach is explained in Fig. $8 .$

An important component is the appropriate workforce management, enabling the value realization and ensuring the appropriate processing of exceptions. The handling of a hybrid workforce, including human and digital members, requires appropriate preparation: people need to have clear new roles and expectations and Bots need to be updated and adjusted systematically based on experiences in the ongoing business. The creation of appropriate roles is often a pre-condition to free up people for other activities.

People change management, including information, communication and training, plays a key role (Kirchmer 2017a). This aspect is often underestimated in RPA initiatives since the changing role of humans for exception handling, which in most cases leads to more demanding work, is not considered sufficiently.

## 商科代写|商业建模代写Business Modeling代考|Sustain RPA Benefits and Results

Once an RPA enabled process is executed in the daily business, it is important to keep on managing the value realization and adjust the process as well as the enabling automation components. This management discipline is crucial for the overall success of the new process and the delivery of related benefits. Hence, an appropriate process governance is required. Figure 9 shows a high level example of a process governance organization.

This process governance plays a key role for digitally enabled processes. RPA, as well as other automation approaches, impact different departments and functional organizations. Hence, the decision on changes of the processes and underlying technology requires well defined governance processes and appropriate roles to realize the expected agility, sustainable cost reductions and other benefits (Kirchmer 2018a).
Process governance is part of a larger business process management discipline (BPM-Discipline) that manages the digital transformation of an organization towards value creation and aligns the different improvement initiatives (Kirchmer 2015). This BPM-Discipline, executed through the process of process management, can be set up or expanded during RPA or other automation and improvement initiatives. It should be functional once the first business processes go live using new digital technologies and business practices.

Value-driven RPA is about adding a new process improvement and transformation option to the toolset of the BPM-Discipline. This integrated approach and thinking makes RPA at the end successful.

## 商科代写|商业建模代写Business Modeling代考|Failure and Change Impacts

The work of Langermeier et al. [10] provides a CIA approach based on Enterprise Architecture Models. By means of their approach, which is based on a data-flow analysis technique, it is analyzed which model elements are affected. The algorithm of the authors aims to apply a CIA in context of Enterprise Architecture Models. However, our paper proposes an approach how to apply FIA and CIA taken safety-critical concerns like, e.g., safety and security into account. [16] propose an Eclipse based tool named Chianti and analyzes change impacts of regression or unit tests. By means of the execution behavior a set of affected changes is determined for each affected test. Chianti does not analyze change impacts on models but on Java code. Such as [10], Ren et al. [16] don’t consider safety-critical aspects in their approach in order to enable a maximum degree of safety and security by means of the CIA. The paper of Hanemann et al. [5] dealing with resource failures, which might endanger service level agreements by influencing services. Therefore, [5] presents an approach, which identifies the effect of resource failures with respect to the corresponding services and service level agreements. In addition to those effects, a technique is proposed in order to improve services and to provide them. Such as $[10]$ and [16], Hanemann et al. [5] also do not take safety-critical issues into account. In summary, each of the presented scientific publications provide either a FIA or a CIA but there is no combination of them. Furthermore, all publications do not consider the topic of safety-critical systems.

## 商科代写|商业建模代写Business Modeling代考|Failure and Change Impacts

Langermeier 等人的工作。[10] 提供了一种基于企业架构模型的 CIA 方法。通过他们基于数据流分析技术的方法，可以分析哪些模型元素受到影响。作者的算法旨在将 CIA 应用于企业架构模型的上下文中。然而，我们的论文提出了一种如何应用 FIA 和 CIA 的方法，考虑到安全关键问题，例如安全和安保。[16] 提出了一个名为 Chianti 的基于 Eclipse 的工具，并分析了回归或单元测试的变化影响。通过执行行为，为每个受影响的测试确定一组受影响的更改。Chianti 不分析更改对模型的影响，而是分析对 Java 代码的影响。如[10]，任等人。[16] 在他们的方法中不考虑安全关键方面，以便通过中央情报局实现最大程度的安全和保障。Hanemann 等人的论文。[5] 处理资源故障，这可能会通过影响服务而危及服务水平协议。因此，[5] 提出了一种方法，该方法可以识别资源故障对相应服务和服务级别协议的影响。除了这些效果之外，还提出了一种技术以改进服务并提供服务。如 它确定了资源故障对相应服务和服务水平协议的影响。除了这些效果之外，还提出了一种技术以改进服务并提供服务。如 它确定了资源故障对相应服务和服务水平协议的影响。除了这些效果之外，还提出了一种技术以改进服务并提供服务。如[10]和 [16]，Hanemann 等人。[5] 也没有考虑安全关键问题。总而言之，所呈现的每一个科学出版物都提供了 FIA 或 CIA，但没有它们的组合。此外，所有出版物都没有考虑安全关键系统的主题。

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。