Research : Predictive BI Financial Health Study
Budget: $30 – $250 CAD
I’m preparing a 25,000-word academic thesis entitled “Developing a Predictive Early Warning System Using Business Intelligence Tools to Monitor Financial Health and Margin Erosion in Project-Based Industries – A Case Study in Window Wall Glazing.”
The backbone of this work will be a comprehensive literature review, followed by a clearly justified methodology, robust data analysis, and well-grounded conclusions. We will model and visualise cash flow, profit margins, and debt levels in Power BI, using predictive techniques to flag margin erosion before it becomes critical. Your blend of research writing skills and hands-on data analytics expertise is therefore essential.
All writing must be original, rigorously referenced in APA or Harvard style, and capable of passing any plagiarism screen used at the postgraduate level.
Deliverables
• Fully edited manuscript (~25,000 words)
• Power BI file with interactive predictive dashboard
• Clean data sets and concise model documentation
• Complete reference list plus plagiarism report
If you have completed similar analytics-driven research, especially within construction or other project-based industries, please share a brief sample or publication link, outline your process, and propose a realistic timeline with milestones. I’m flexible on scheduling and costs as long as the quality meets academic standards.
I look forward to collaborating on this study.
The backbone of this work will be a comprehensive literature review, followed by a clearly justified methodology, robust data analysis, and well-grounded conclusions. We will model and visualise cash flow, profit margins, and debt levels in Power BI, using predictive techniques to flag margin erosion before it becomes critical. Your blend of research writing skills and hands-on data analytics expertise is therefore essential.
All writing must be original, rigorously referenced in APA or Harvard style, and capable of passing any plagiarism screen used at the postgraduate level.
Deliverables
• Fully edited manuscript (~25,000 words)
• Power BI file with interactive predictive dashboard
• Clean data sets and concise model documentation
• Complete reference list plus plagiarism report
If you have completed similar analytics-driven research, especially within construction or other project-based industries, please share a brief sample or publication link, outline your process, and propose a realistic timeline with milestones. I’m flexible on scheduling and costs as long as the quality meets academic standards.
I look forward to collaborating on this study.