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My Instructions for writing my business intelligence research proposal, follow strictly + attached study guide:
1.\tmake sure to do in-text citations use relevant sources like peer review journals, books, dissertations, thesis, articles, semi-scholarly professional publications etc. from google scholar and other relevant source using Harvard style referencing with sources from 10 years ago up to now.\n
2.\tmake sure to follow a type of literature review map concept for critical aspects related to the topic of study, e.g. indicating the definitions, main theories relating to the topic, as well as the components, factors or building blocks of the topic, and the possible outcomes, consequences, or implications of the topic that is explored, \n
3.\timportantly follow best practices for a research proposal, \n
4.\tfollow my recommendations of how long each section should be where I indicated a length in the research proposal structure in brackets. \n
My research proposal structure to be followed:\n
1\tTitle\t\n
2\tKeywords\t\n
3\tIntroduction (1 page in length)\n
4\tProblem statement (1 page in length)\n
5\tLiterature review (3 pages in length)\n
6\tResearch questions (1/2 page in length)\t\n
6.1\tGeneral research question\t\n
6.1.1\tSpecific research questions\t\n
7\tResearch objectives (1/2 page in length)\t\n
7.1\tGeneral research objective\t\n
7.1.1\tSpecific research objectives\t\n
8\tResearch Design (1 page in length)\n
8.1\tResearch approach\t\n
8.2\tResearch setting\t\n
8.3\tResearch procedure\t\n
8.4\tSampling (1/2 page in length)\t\n
8.5\tData collection methods (1 page in length)\t\t\n
8.6\tRecording of data\t\n
8.7\tData analyses (1 page in length)\t\t\n
8.8\tStrategies to ensure quality of data (1 page in length)\t\t\n
9\tEthical considerations (1/2 page in length)\t\t\n
10\tChapter Division\t\n
11\tTime frame\t\n
12\tReferences\t\n
My research proposal topic and other important details:\n
Research topic:\n
Best Practices for Effective Business Intelligence Implementation in Small to Medium-Sized \r
Enterprises in Namibia and Internationally
(why I think this topic is important)
Business Intelligence (BI) is a crucial topic in modern business because it enables organizations to collect, analyse and present data that supports decision-making and improves business outcomes. BI can provide a competitive advantage, cost savings, improved customer experience and effective strategic planning. Thus, BI is a critical business competency, and research on this topic can help businesses gain insights, stay ahead of competition, and make informed decisions.\n
Problem statement:\n
The business world is becoming increasingly complex, and businesses of all sizes are generating large amounts of data from various sources. Business Intelligence (BI) is a crucial tool for processing and analyzing this data to support decision-making and improve organizational performance. However, despite the many benefits of BI, many businesses still struggle to implement it effectively.\n
In many cases, businesses lack the expertise or resources to effectively collect, analyze, and present data in a way that is useful for decision-making. As a result, they may miss out on opportunities to gain a competitive advantage, reduce costs, improve the customer experience, or make better long-term strategic decisions. Additionally, businesses may face challenges in integrating and managing data from different sources and systems, resulting in incomplete or inaccurate data analysis.\n
The problem of ineffective BI implementation has significant negative impacts on businesses and their stakeholders. In particular, businesses that are unable to leverage data effectively may fall behind their competitors and struggle to survive in the long term. This can have ripple effects throughout the economy, leading to lost jobs, reduced productivity, and decreased innovation.\n
There is a need for research that can help businesses overcome the challenges of implementing effective BI strategies. This research can benefit a wide range of stakeholders, including business leaders, managers, analysts, and IT professionals. By improving BI implementation, businesses can make better decisions, improve performance, and ultimately, contribute to a stronger and more competitive economy.\n
The aim of this research is to identify best practices and strategies for effective BI implementation in businesses. Some of objectives of the research include:\n
•\tAnalyzing the challenges and barriers to effective BI implementation in businesses. \n
•\tIdentifying best practices and success factors for implementing BI in businesses. \n
•\tEvaluating the impact of effective BI implementation on business performance and outcomes.\n
The proposed solution will involve a comprehensive review of the existing literature on BI implementation, as well as case studies of businesses that have successfully implemented BI strategies. The research will also involve surveys, questionnaires and perhaps interviews with business leaders, managers, or IT professionals to gather insights into their experiences and perspectives on BI implementation. The findings of this research can be used to develop guidelines and recommendations for businesses looking to implement or improve their BI strategies, ultimately contributing to a more competitive and successful business landscape.\n
Research questions:\n
1.\tWhat are the key challenges and best practices for effective BI implementation in businesses?\n
2.\tHow can effective BI implementation impact business performance and outcomes?\n
3.\tHow can businesses measure the success and ROI of their BI implementation efforts?\n
4.\tWhat are the ethical and legal considerations that businesses should be aware of when collecting and using data for BI purposes?\n
5.\tWhat are the emerging trends and innovations in BI, and how can businesses stay ahead of the curve in adopting new technologies and tools?\n
6.\tHow can businesses address the challenges of integrating and managing data from different sources and systems, while ensuring the accuracy and completeness of their data analysis?\n
Research objectives:
1.\tTo identify the key challenges and best practices for effective BI implementation in businesses, and provide recommendations for overcoming common barriers and roadblocks.\n
2.\tTo evaluate the impact of effective BI implementation on business performance and outcomes, and identify the key metrics and benchmarks for measuring success and ROI.\n
3.\tTo explore the ethical and legal considerations that businesses should be aware of when collecting and using data for BI purposes, and provide guidelines for responsible data management.\n
4.\tTo analyze emerging trends and innovations in BI, and identify opportunities for businesses to stay ahead of the curve in adopting new technologies and tools.\n
5.\tTo investigate the challenges of integrating and managing data from different sources and systems, and provide recommendations for ensuring the accuracy and completeness of data analysis.\n
6.\tTo develop a set of guidelines and best practices for businesses to select and implement BI software and tools, taking into account factors such as cost, usability, and functionality.\n
How feasible is this study that you want to undertake?\n
This study on Business Intelligence is quite feasible, there is a vast amount of existing literature on this topic, and it is a relevant and important subject in today’s business world. The research questions that I came up with are well-defined and feasible to answer through various research methods, including literature reviews, case studies, surveys, questionnaires, and interviews. Additionally, there are various organizations and experts in the field who can provide valuable insights and perspectives on the topic. However, the scope and depth of the study will depend on various factors, such as the availability of data, resources, and time. Overall, with proper planning and execution, this study is feasible and has the potential to contribute to the existing body of knowledge on Business Intelligence.\n
What is the envisaged knowledge contribution of your research? (You may refer to related theories, scholarly articles or books):
The envisaged knowledge contribution of this research is to advance the understanding of effective Business Intelligence implementation and its impact on business performance and outcomes. This research seeks to contribute to the existing body of knowledge on Business Intelligence by addressing the following aspects:\n
Building upon existing literature on Business Intelligence implementation, this study will provide a comprehensive overview of the key challenges and best practices for effective implementation, as well as ethical and legal considerations.\n
\n
By evaluating the impact of effective BI implementation on business performance and outcomes, this study will contribute to the understanding of the factors that drive BI success and the metrics that businesses should use to measure the ROI of their BI initiatives.\n
By analyzing emerging trends and innovations in BI, this study will provide insights into the latest developments in the field and the opportunities they present for businesses to stay ahead of the curve in adopting new technologies and tools.\n
By investigating the challenges of integrating and managing data from different sources and systems, this study will provide practical recommendations for ensuring the accuracy and completeness of data analysis.\n
The research will contribute to the existing body of knowledge on Business Intelligence by synthesizing and building upon existing theories, scholarly articles, and books. Some of the relevant literature includes:\n
•\tKimball, R., Ross, M., Thornthwaite, W., Mundy, J., & Becker, B. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. Wiley.\n
•\tLarose, D. T., & Larose, C. D. (2014). Discovering Knowledge in Data: An Introduction to Data Mining. Wiley.\n
•\tEckerson, W. W. (2010). Performance Dashboards: Measuring, Monitoring, and Managing Your Business. John Wiley & Sons.\n
•\tChaffey, D., & White, G. (2010). Business Information Management: Improving Performance Using Information Systems. Pearson.\n
•\tLaudon, K. C., & Laudon, J. P. (2016). Management Information Systems: Managing the Digital Firm. Pearson.\n
•\tRouse, M. (2019). What is business intelligence (BI)? – Definition from WhatIs.com. Retrieved from https://searchbusinessanalytics.techtarget.com/definition/business-intelligence-BI\n
By synthesizing and building upon the knowledge presented in sources such as these, this research aims to make a significant contribution to the field of Business Intelligence.\n
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