Project Details

Sales Report & Finance Report for AtliQ Hardware Sales Report : Project objective: Create a customer performance report and Conduct a comprehensive comparison between market performance vs sales targets.
Purpose of sales analytics: Empower businesses to monitor and evaluate their sales activities and performance.
Importance of analyzing sales data: Identify sales patterns and track key performance indicators (KPIs).
Role of reports: Determine effective customer discounts, facilitate negotiations with consumers, and identify potential business expansion opportunities in promising countries.

Project Details

This Power BI project for AtliQ Hardware aims to enable data-driven decision-making across key business areas such as finance, sales, marketing, and supply chain. The company, experiencing rapid growth and expanding globally, recognized the need to leverage data analytics to remain competitive. The project focuses on answering key stakeholder questions, optimizing report performance, and providing actionable insights. Key techniques learned include data modeling, creating calculated columns and measures using DAX, conditional formatting, and publishing reports to Power BI Services for collaboration. The dashboard addresses business-critical metrics like Gross Price, Net Sales, Gross Margin, COGS, and profitability analysis. It empowers AtliQ Hardware to make informed decisions, monitor financial health, and improve operational efficiency. By implementing these insights, AtliQ aims to overcome challenges faced by competitors investing in advanced analytics, driving the company's growth.

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Project Details

This project applies Excel-based financial and operational analysis to solve various business scenarios. It includes evaluating investment viability using NPV and IRR, optimizing production with linear programming, and analyzing equipment leasing vs. purchasing decisions. The project also covers calculating retirement savings to estimate monthly annuity payments and assessing patent value by determining the present value of future cash inflows. Key techniques used include financial modeling, Excel Solver for optimization, and discounted cash flow analysis. The outcomes guide investment choices, production planning, equipment decisions, retirement savings, and patent valuation, providing valuable insights for strategic decision-making.

Project Details

This project focuses on understanding travel comfort levels and frequencies after travel restrictions are lifted. By analyzing survey data, the project examines how soon individuals feel comfortable traveling to different destinations, such as nearby regions, other provinces, or internationally. Using Microsoft Excel, data was cleaned, transformed, and analyzed to determine patterns in how frequently people travel (e.g., a few times a year, once a month, never) and how these frequencies correlate with comfort levels in traveling again. Insights from the analysis aim to help businesses in the travel and tourism industry tailor their services according to customer preferences and behavior post-pandemic.

Project Details

This comprehensive analysis highlights critical insights into regional dynamics, workforce trends, and sector performance, focusing on emerging cities like Austin and Minneapolis. Key findings include robust growth in Security, Health, and Logistics industries, contrasted by challenges in Media and Retail due to digital disruptions. The report offers strategic recommendations for businesses to leverage automation, invest in high-growth sectors, and optimize operations in emerging regions. Policymakers are guided to incentivize regional growth, reskill the workforce, and support industry diversification. By addressing these opportunities and challenges, the project aims to drive sustainable growth, innovation, and resilience.

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