Final Project Week 8

Background:

GreenTech Innovations, a pioneer in sustainable technology solutions, has experienced stagnant growth over the past year. With emerging competitors and rapidly changing market dynamics, the company is at a crossroads. As the lead business analyst, you’re tasked with spearheading a data-driven strategy to revitalize the company.

Objective:

Utilize the analytical tools, techniques, and frameworks covered in the course to develop a comprehensive business strategy for GreenTech Innovations. The goal is to bolster growth, enhance operational efficiency, and solidify the company’s position as an industry leader.

Data & Resources Provided:

Excel Files: Containing sales, expenses, and operational data over the past five years.

Power BI Dashboard: Showcasing market trends, competitor analysis, and customer feedback.

Probability Models: Highlighting potential market scenarios – economic boom, stability, and recession.

Feedback Survey: Responses from stakeholders, including employees, customers, and partners.

Tasks:

Descriptive Analysis:

Use Excel to analyze the provided datasets. Understand the distribution of variables and summarize key metrics.

Identify trends, anomalies, and potential areas of concern or opportunity.

Relationship Exploration:

Determine correlations between different datasets. For instance, does increased marketing spend relate to sales growth?

Use pivot tables to segment and analyze data efficiently.

Business Intelligence Insights:

Dive deep into the Power BI dashboard. Extract insights regarding market dynamics and competitor strategies.

Identify areas where GreenTech Innovations has a competitive edge and where it lags.

Probability & Decision Frameworks:

Based on the probability models, evaluate potential strategies under different market scenarios.

Utilize decision-making frameworks like Maximax, Maximin, Criterion of Realism, and Minimax Regret to guide strategic choices.

Stakeholder Feedback Integration:

Analyze the feedback survey to understand stakeholder perceptions and needs.

Use this feedback to refine and enhance the proposed strategy.

Strategy Presentation:

Compile your findings and recommendations into a comprehensive strategy document.

Present your data-driven strategy to GreenTech’s leadership, using visualizations, probability outcomes, and decision frameworks to support your recommendations.

Evaluation Criteria:

Your strategy will be evaluated based on:

Analytical Rigor: The depth and accuracy of your analysis.

Holistic Approach: Integration of various tools, techniques, and frameworks covered in the course.

Innovation: Creative solutions and strategies proposed.

Stakeholder Alignment: How well the strategy aligns with stakeholder feedback and company values.

Feasibility: The practicality of implementing the proposed strategy.

This case study serves as a culmination of everything you’ve learned over the course. By weaving together various analytical tools and decision-making frameworks, you’re not just proposing a strategy but showcasing the power and potential of data-driven decision-making. Good luck, and may the data be with you!

Attachments

competitor_analysis_data.xlsx

customer_feedback_data.xlsx

expenses_data.xlsx

market_trends_data.xlsx

operational_data.xlsx

probability_models_data.xlsx

sales_data_GreenTech.xlsx