assignmentutor-lab™ 为您的留学生涯保驾护航 在代写供应链管理supply chain management方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写供应链管理supply chain management代写方面经验极为丰富，各种代写供应链管理supply chain management相关的作业也就用不着说。

• 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

## 经济代写|供应链管理代写supply chain management代考|INTRODUCTION TO BIG DATA ANALYTICS

Big Data Analytics (BDA) is a term that refers to the processes of investigating large amounts of data with diverse variables to uncover hidden patterns, unknown correlations, and other useful information or knowledge (Zhong et al. 2016).

BDA has many advantages over traditional database management. Lack of information in various manufacturing and service areas has been one of the major challenges for various organizations over the years. By using BDA, organizations can improve their performance and ultimately gain competitive advantages. In the management of the supply chain of large organizations and companies, the flow of information is also large. Information of transactions and activities that are performed throughout the supply chain is invaluable for business owners. This information can help them in future decisions on issues such as demand forecasting, production planning, and so on.

The main purpose of BDA is to help companies make better business decisions, enabling users to analyze large volumes of data from various sources such as databases, the Internet, mobile and location records, as well as information recorded by sensors. To analyze such enormous data which have different formats, there is a wide range of technologies for analyzing Big Data (BD), enormous data that form a set of open-source software frameworks capable of supporting analyzing large amounts of data sets in cluster systems (Zakir, Seymour, and Berg 2015).

Today, the effective and efficient use of BDA is a key factor for the success of manufacturing companies in the global market (Y. Wang and Hajli 2017). The widespread use of digital technologies has led to the emergence of Big Data Business Analytics (BDBA) as an important business capability to give companies a better means to derive value from the increasing volume of data and achieve a powerful competitive advantage. BA is the study of the skills, technologies, and practices used to assess strategies and operations at the organization level to gain insight into and guide the career planning of an organization. These evaluations include evaluation of strategic management, product development, customer service delivery through evidence-based data, statistical analysis and operations, predictive modeling, forecasting, and optimization techniques (H. Chen, Chiang, and Storey 2012). The BDBA comprises two dimensions: BD and Business Analysis (BA). BA refers to the ability to process data with the following characteristics (3V): high velocity, high variety, and high volume. It has more processing capabilities than traditional data management approaches (C. L. P. Chen and Zhang 2014).a

## 经济代写|供应链管理代写supply chain management代考|BARRIERS TO BDA: BACKGROUND

In this section, we will examine the barriers to implementing and using BDA. Many studies have been conducted to identify these barriers and various criteria and subcriteria have been defined for this purpose. Here, we intend to identify and analyze some of these barriers that are more relevant to supply chain management and logistics. Given the importance of BD and BDA, the purpose of this section is to identify and examine the major barriers to BDA adoption in supply chains and logistics.
A study examining organization and technology management practices at 330 state-owned companies in North America revealed that many organizations were not ready to use $\mathrm{BD}$ to improve organizational performance (McAfee and Brynjolfsson 2012), and they needed to overcome several barriers (or challenges) in this regard. These barriers include the need to acquire new skills by employees and upgrade IT infrastructure as well as instill new managerial practices or new organizational culture across the organization (Manyika 2011).

In order to examine the barriers to BDA, we searched for research literature using a variety of keywords, such as the “barriers to BDA,” “challenges of using BDA,” and the like. Few researchers have investigated and identified the barriers to BDA in the supply chain management and logistics. For example, a study was conducted to examine and identify the major barriers to the use and adoption of BDA in manufacturing supply chains in Bangladesh, and these barriers were prioritized based on the literature and experts’ opinions (Moktadir et al. 2019). In another study, techniques for removing barriers to acceptance and use of BDA were also discussed using qualitative analysis (Alharthi, Krotov, and Bowman 2017). A qualitative framework was also used to examine the challenges of using RDA in the telecommunications indusreview articles related to the threats and opportunities of using BDA for international review articles related to the threats and opportunities of using BDA for international to the literature review to accurately examine and identify the barriers to the acceptance and use of BD, and the transient and permanent barriers were categorized and discussed (Brohi, Bamiah, and Brohi 2016).

# 供应链管理代考

## 经济代写|供应链管理代写supply chain management代考|INTRODUCTION TO BIG DATA ANALYTICS

BDA 与传统的数据库管理相比具有许多优势。多年来，各个制造和服务领域缺乏信息一直是各种组织面临的主要挑战之一。通过使用 BDA，组织可以提高绩效并最终获得竞争优势。在大型组织和公司的供应链管理中，信息流也很大。在整个供应链中执行的交易和活动的信息对于企业主来说是非常宝贵的。这些信息可以帮助他们在未来就需求预测、生产计划等问题做出决策。

BDA 的主要目的是帮助公司做出更好的业务决策，使用户能够分析来自各种来源的大量数据，例如数据库、互联网、移动和位置记录，以及传感器记录的信息。为了分析这些具有不同格式的海量数据，有广泛的分析大数据（BD）技术，这些海量数据形成了一套开源软件框架，能够支持分析集群系统中的大量数据集（扎基尔、西摩和伯格 2015）。

## 有限元方法代写

assignmentutor™作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## 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。

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