2298 Finance, Analytics and Strategy Individual Strategic Report Coursework 2

Assignment Task

• Element - Coursework 2 
• Description - An individual 2,000-word written strategic report.  
• Weighting – 60% 

Task Guidance

The finance sector is undergoing unprecedented changes, driven by globalization, technological advancements,  regulatory shifts, and market volatility. In this dynamic landscape, contemporary managers face multifaceted challenges that necessitate a strategic approach supported by robust data analysis. This assignment delves into the intricate relationship between contemporary managerial challenges and the application of data analysis techniques, particularly in the context of financial data, to inform systematic strategic decisions in finance analytics and strategy. 

Assignment Structure

• For additional guidance on this assignment, please access the assignment vodcast available on Canvas. 

Introduction – An outline of the assignment (Approx 100 words): A brief section setting the scene in the subject area with a summary of key areas that will be explored and reported on.

Section 1: Contemporary Managerial Challenges (Approx. 400 words): Explore the challenges faced by modern managers in the finance sector. Discuss the impact of globalization, regulatory changes,  technological disruptions, and market volatility. Analyze how these challenges create an environment where strategic decision-making becomes imperative for organizational success.

Section 2: Finance Analytics and Its Relevance (Approx. 400 words): Examine the significance of finance analytics in addressing contemporary challenges. Explore the role of analytics in decision-making processes.  Discuss the types of analytics - predictive, descriptive, and prescriptive - and their application in gaining insights crucial for navigating the complexities of the financial landscape.

Section 3: Data Analysis Techniques in Finance (Approx. 500 words): Delve into various data analysis techniques applicable to finance. Discuss the importance of financial data analysis, covering both quantitative and qualitative methods. Illustrate the application of techniques such as regression analysis,  trend analysis, and risk modeling in extracting meaningful insights from financial data. 

Section 4: Systematic Strategic Decision-Making (Approx. 400 words): Connect data analysis to systematic strategic decision-making in finance. Explore how insights derived from data analysis can guide decision-makers in formulating effective strategies. Discuss the concept of evidence-based decision-making and its relevance in crafting strategies that withstand the uncertainties of the financial landscape.