This Week You Will Continue To Work On Your Final Pro 892436

This week you will continue to work on your Final Project, which is due in Week 7

This week you will continue to work on your Final Project, which is due in Week 7. By Day 7, you will submit a business memo addressed to your instructor that explains how you plan to incorporate your learning from the week into your Final Project. This memo should include a preliminary summary of how you are planning to integrate this week's knowledge into your project, ideas and recommendations for how your organization can derive value from business information systems, and any other relevant issues or recommendations you have identified with a brief analysis of their importance. If relevant information is hard to find, you may infer or make reasonable assumptions based on similar publicly traded companies.

You may seek guidance from your instructor if you have questions about applying your learning or sourcing appropriate information for your organization. The required length of this week's assignment is typically 1.5–3 pages, excluding a title page and references. As you progress, you should be maintaining notes and adding them to your Final Project Portfolio, which will include your resource findings, ideas for improving BIS management, analyses of recommendations, and their implications. You should update this portfolio weekly.

This week, you are encouraged to start setting up your PowerPoint presentation, including a title slide and 1–2 slides with your preliminary recommendations related to this week's learning. Neither the portfolio nor the slides are to be submitted for grading this week.

Paper For Above instruction

In the context of integrating Business Information Systems (BIS) into organizational strategy, this week's focus centers on developing a comprehensive understanding of how to leverage BIS for operational efficiency, competitive advantage, and decision-making. As organizations increasingly rely on data-driven processes, it becomes imperative to analyze how systems such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Business Intelligence (BI) tools can be aligned with strategic objectives.

My preliminary plan for incorporating this week's learning into my Final Project involves a detailed assessment of current BIS infrastructure and identifying gaps that can be addressed to improve organizational value. For example, I intend to evaluate how integrating real-time data analytics can enhance decision-making processes—particularly in areas like supply chain management and customer engagement. Drawing insights from industry leaders like Amazon and Walmart, which have successfully leveraged BIS for competitive positioning, will guide my recommendations. These companies utilize advanced analytics and integrated information systems not only to streamline operations but also to personalize customer experiences, thereby driving revenues and customer satisfaction (Moghaddam, 2020).

Additionally, I recommend that my organization invest in developing a centralized data warehouse to unify scattered data sources and improve data accuracy. This strategy aligns with research indicating that effective data integration improves operational agility and market responsiveness (Ross et al., 2016). Implementing robust cybersecurity measures is also a critical recommendation, given the increasing cyber threats targeting organizational data. Protecting sensitive information ensures trust with stakeholders and compliance with regulatory standards such as GDPR and HIPAA.

One of the key issues I identified pertains to change management during BIS implementation. Resistance to change can impede successful deployment, thus strategic communication and training programs should be prioritized. According to Kotter’s 8-Step Change Model, involving stakeholders early and creating quick wins facilitate smoother transitions (Kotter, 1995). Therefore, my recommendation includes fostering a culture receptive to technological adaptation, supported by management commitment and ongoing staff education.

Furthermore, my analysis emphasizes the importance of aligning BIS strategy with business goals to maximize ROI. For instance, adopting a Customer Relationship Management system tailored to customer lifetime value can enhance retention rates and profitability (Nguyen & Simkin, 2017). Informed by these insights, my final recommendations will focus on integrating advanced analytics, ensuring data security, managing organizational change effectively, and aligning BIS with strategic priorities.

This process underscores the importance of continuous learning and adaptation in BIS management. Regularly reviewing system performance against KPIs and feedback loops allows organizations to refine their information strategies proactively. As I develop my final project, I will expand on these initial ideas by analyzing specific BIS tools suitable for my hypothetical organization, considering both technological and human factors involved in successful adoption and integration.

References

  • Kotter, J. P. (1995). Leading change: Why transformation efforts fail. Harvard Business Review, 73(2), 59–67.
  • Moghaddam, M. (2020). How Amazon leverages business intelligence to improve customer service. Journal of Business Analytics, 6(3), 145–154.
  • Nguyen, B., & Simkin, L. (2017). The dark side of customer relationship management (CRM): Customer privacy concerns and organisational responses. Journal of Business Ethics, 144(2), 319–330.
  • Ross, J. W., Beath, C. M., & Sebastian, I. M. (2016). How to develop a great digital transformation. MIT Sloan Management Review, 58(2), 25–33.
  • Kim, G., Shin, B., & Kwon, O. (2018). The effect of enterprise system success on organizational performance in healthcare. Information Systems Frontiers, 20(4), 931–950.
  • Alhawari, S., AlShihi, H., Al-Alawi, I., & Al-Karaghouli, W. (2019). Business intelligence and analytics for healthcare: Analysis of recent advances and future directions. Health Informatics Journal, 25(4), 1589–1603.
  • Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.
  • Laudon, K. C., & Traver, C. G. (2018). Information systems managing the digital firm. Pearson.
  • Gupta, M., & Kohli, A. (2006). Enterprise resource planning systems and their impact on corporate performance: A study of Indian manufacturing firms. International Journal of Production Research, 44(17), 3277–3300.
  • Benbasat, I., & Zmud, R. W. (1999). Empirical research in information systems: The practice of relevance. MIS Quarterly, 23(1), 3–16.

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