本次澳洲代写主要为Excel商业数据分析相关的assignment

ECON1555评估3-业务报告

评估详情

1.设置场景

客户与位于墨尔本的一家咨询公司,即Data Centric Consulting(DCC)Pty。Ltd.进行了有关澳大利亚创新活动现状的咨询项目。原因是客户对确定澳大利亚企业的创新来源感兴趣。客户也有兴趣了解创新的主要障碍,并根据澳大利亚政府的观点认为创新需要改进,因为创新对于在澳大利亚创造经济和社会机会至关重要。客户希望对澳大利亚所有企业的创新活动和创新壁垒有“高水平”的了解,并特别关注中小企业(SME)。

DCC的负责合作伙伴(即Luke Berryman先生)选择了您,他是一位具有数据分析,研究和商业经验的顾问,来管理此咨询项目。这是因为客户是高级业务主管,对业务数据分析和良好的研究方法有一定了解。此外,客户有兴趣分析不同的数据集并确定需要关注的领域,特别(但不是唯一)关注中小企业。客户还希望该项目使用良好的研究方法。客户表示需要一份针对研究方法内的数据分析的报告。

2.使用良好的研究方法规划数据分析项目

作为具有研究经验的顾问,您了解了好的研究方法包括以下几个阶段:

描述项目的背景
制定研究的目标和预期结果
提出研究问题,以指导研究实现目标
确定适当的方法来回答研究问题
使用方法论进行研究并回答研究问题
总结研究结果,确定优势和需要改进的地方
确定局限性和/或可能需要进行的其他研究

3.制定研究计划

本节提供了一些与研究方法有关的有用评论。

3.1。研究背景

以下是背景信息,总结了为什么这个项目很重要。

创新对于提高国民经济绩效和创造就业机会以改善社会生活水平至关重要。澳大利亚政府(澳大利亚2030:通过创新实现繁荣)强调指出,创新将在2030年前改变澳大利亚人的生活。澳大利亚政府意识到创新对澳大利亚未来的重要性,于2016年成立了澳大利亚创新与科学委员会(ISA)。 ISA的2030年愿景是,澳大利亚将跻身于创新国家的顶级行列。

数据和数字技术(例如人工智能,数据分析等)为企业创新提供了新的机会。尤其是,澳大利亚的《技术未来报告》(2018)指出:“收集和分析数据并不是一件新鲜事,但是企业和消费者用来快速与多个来源的数据进行交互的工具正在迅速变化。排名前七的工具全球有10家公司依靠他们收集的数据来提供服务和创造价值。”该报告讨论了数据的重要性,以及数据被认为对企业有价值的机会。它可以提供更好,更紧密联系的服务,改进的政策和决策制定以及新技术,产品和服务的开发。

ECON1555 Assessment 3 – Business Report

Assessment Details

1.  Setting the scene

A consulting firm based in Melbourne, namely Data Centric Consulting (DCC) Pty. Ltd., has been approached by a client to do a consulting project on the current situation of innovation activity in Australia. The reason for this is that the client is interested in identifying sources of innovation in Australian businesses. The client is also interested in understanding the key barriers to innovation and identifying areas of improvement in alignment with the Australian Government’s view that innovation is critical for creating economic and social opportunities in the country. The client wants a ‘high-level’ view of innovation activity and barriers to innovation across all businesses in Australia, and with an additional focus on Small Medium Enterprises (SMEs).

The responsible partner of DCC (i.e., Mr Luke Berryman) has selected you, a consultant with data analytics, research, and business experience, to manage this consulting project. This is because the client is a senior business leader with some understanding of business data analytics and good research methodology. Besides, the client is interested in analysing different datasets and identifying areas that need attention, with a special (but not exclusive) focus on SMEs. The client also wants the project to use a good research methodology. The client has indicated that a report focusing on data analytics within a research methodology is required.

2.  Planning the data analytics project using a good research methodology

As a consultant with research experience, you learnt that a good research methodology includes the following stages:

  • Describe the background to the project
  • Develop the objective and expected outcomes from the research
  • Develop research questions that will guide the research to achieve the objectives
  • Decide on appropriate methodology to answer the research questions
  • Conduct the research using the methodology and answer the research questions
  • Develop findings from the research and identify strengths and areas for improvement
  • Identify limitation(s) and/or possible additional research required

 

3.  Developing a research plan

Some helpful comments are provided in this section related to research methodology.

3.1.  Background to the research

The following is background information that summarises why this project is important.

Innovation is essential for boosting national economic performance and creating jobs to improve the living standards in a society. The Australian Government (Australia 2030: Prosperity through innovation) emphasises that innovation will change Australians’ lives for the better by 2030. Recognising the importance of innovation for Australia’s future, the Australian Government established the Innovation and Science Australia (ISA) Board in 2016. ISA’s vision for 2030 is that Australia will be counted within the top tier of innovation nations.

Data and digital technologies (such as Artificial Intelligence, Data Analytics, etc.) provide new opportunities for innovation in businesses. In particular, the Australia’s Tech Future Report (2018) has stated that: “Collecting and analysing data is not a new thing, but the tools businesses and consumers use to quickly interact with data from multiple sources are changing rapidly. Seven out of the top 10 companies in the world rely on the data they collect to deliver services and create value.” The report has discussed about the importance of data and the opportunities given that data is considered as valuable for businesses. It enables better, more connected services, improved policies and decision making, and the development of new technologies, products, and services.


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