Business Systems Analysis And Design For This Project

Business Systems Analysis And Designfor This Project Imagine That You

Business systems analysis and design for this project, imagine that you work for a small brick-and-mortar business specializing in designer clothing, shoes, and handbags. Your business offers discounted designer clothing and accessories for men and women. The store has two full-time employees and three part-time employees. Currently, it only has a basic website with a list of a few products, and customers can only purchase items in-store. The business owner wants to expand by integrating an e-commerce platform to reach more customers and promote growth. She is aware of potential consumer privacy and security concerns and wants to ensure that company data, as well as data managed by suppliers and vendors, are protected. The key technology requirements include integrating online shopping, managing inventory and shipping, providing order status and online payments, facilitating collaboration internally and externally, managing customer contacts, offering reporting tools, and integrating the new technology with existing brick-and-mortar processes. The current lack of efficient customer information management and reporting tools hampers management's ability to make informed decisions. The objective is to analyze three different technologies—Big Data and Knowledge Management, Cloud Computing, and Business Analytics and Business Intelligence—to determine which best supports the company's growth and operational needs. The analysis involves researching how selected competing companies use these technologies, evaluating their benefits, and making recommendations to position the business for successful online expansion.

Paper For Above instruction

Introduction

The small brick-and-mortar business specializing in designer clothing, shoes, and handbags faces a pressing challenge: limited customer reach and inefficient management of operations. Currently operating solely through a basic website and in-store sales, the business struggles to compete with larger retailers with robust e-commerce platforms. The primary problem is the lack of an integrated online sales platform and advanced management tools that would enable the business to attract new customers, streamline operations, and enhance decision-making capabilities. The core objective is to develop a comprehensive e-commerce system that seamlessly integrates with existing physical store processes while safeguarding sensitive data against privacy breaches and security threats. To support this transition, this analysis researches three technologies—Big Data and Knowledge Management, Cloud Computing, and Business Analytics and Business Intelligence—assessing their relevance and application within the industry.

Business Requirements

The undertaking of this project aims to fulfill several objectives aligned with the company's growth strategy. Primarily, the project seeks to enable the business to establish a secure, efficient, and user-friendly online shopping platform. This platform should support real-time inventory management, order processing, payment processing, and shipping logistics, all integrated within a cohesive system. Additionally, the project aims to improve internal collaboration among staff and facilitate external interactions with customers and suppliers through digital channels. The desired outcomes include increased sales volume, expanded customer base, improved operational efficiency, and enhanced decision-making through robust reporting tools. Implementing new technology is crucial for the business owner to remain competitive, meet customer expectations in the digital era, and tap into online revenue streams that are currently inaccessible. The business needs a technology infrastructure capable of handling high-volume data, providing data-driven insights, and ensuring secure communication and transactions.

The key technological requirements span several functionalities. The technology must support online storefront integration, inventory tracking, order and shipping management, secure online payment processing, customer relationship management (CRM), and comprehensive reporting and analytics. Data security and privacy are paramount, requiring encryption, secure authentication methods, and compliance with data protection regulations. Moreover, the system must facilitate collaboration, support scalability for future growth, and be compatible with existing physical store operations to ensure a smooth transition.

Competitors and Technology

Technology One: Cloud Computing

Nordstrom Rack is a prominent national retailer that utilizes cloud computing to manage its extensive online and offline sales channels. Nordstrom employs cloud-based infrastructure to host its e-commerce platform, customer data, and inventory management systems. This approach provides scalability during peak shopping periods, enhances disaster recovery capabilities, and reduces IT infrastructure costs. For example, Nordstrom's use of cloud services allows real-time inventory synchronization across physical stores and online platforms, delivering a unified shopping experience. This integration enhances customer satisfaction and operational efficiency. If the small business adopts cloud computing, it could also benefit from scalable hosting, improved data security, and streamlined inventory and order management—key elements to support its growth ambitions.

Technology Two: Business Analytics and Business Intelligence

Zappos, an online shoe retailer known for its exceptional customer service, relies heavily on business analytics and business intelligence tools to monitor sales trends, customer preferences, and website performance. Zappos leverages data analytics to personalize marketing campaigns, optimize stock levels, and improve customer engagement. For instance, analytics insights enable Zappos to recommend products based on browsing and purchase history, significantly increasing sales conversions. If the small business implements such analytics tools, it could gain valuable insights into customer behaviors, tailor marketing efforts, and make informed inventory decisions—advancing its growth and competitiveness. This technology would also help in identifying underperforming products or areas needing improvement, leading to better resource allocation.

Benefits and Recommendations

Both Nordstrom Rack’s use of cloud computing and Zappos’s implementation of business analytics exemplify how advanced technologies can provide competitive advantages. Cloud computing offers the flexibility and security necessary for a growing e-commerce business, ensuring reliable access to critical systems and data. Business analytics can transform raw data into actionable insights, enabling targeted marketing, efficient inventory management, and improved customer experiences. For the small business in question, adopting a combined approach leveraging cloud infrastructure and business intelligence would create a scalable, secure, and data-driven environment conducive to growth.

In conclusion, evaluating these technologies through the lens of industry competitors reveals their strategic importance. Cloud computing would facilitate operational resilience and scalability, while analytics would inform decision-making and personalize customer interactions. By integrating these technologies, the business can effectively transition from a basic physical presence to a competitive online retail platform, ensuring future growth, enhanced customer satisfaction, and increased profitability.

References

  • George, G., Moller, K., & Watson, R. (2020). Business Analytics and Data Science: A Guide for Professionals and Students. Wiley.
  • Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing — The business perspective. Decision Support Systems, 51(1), 176-189.
  • Rittinghouse, J. W., & Ransome, J. F. (2017). Cloud Computing: Implementation, Management, and Security. CRC Press.
  • Sharda, R., Delen, D., & Turban, E. (2019). Business Intelligence, Analytics, and Data Science: A Managerial Perspective. Pearson.
  • Kaisler, S., Armour, F., Espaillat, S., & Money, W. (2013). Big Data: Issues and Challenges Moving Forward. Proceedings of the Annual Hawaii International Conference on System Sciences, 995-1004.
  • Chong, A. Y. L., Lo, C. K. Y., & Weng, X. (2017). The Business value of IT investments on supply chain agility—The moderating effect of organizational capabilities. International Journal of Production Economics, 192, 120-132.
  • 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.
  • Hashem, I. A. T., et al. (2015). The rise of big data on cloud computing: Review and open research issues. Information Systems, 47, 98-115.
  • Vukovic, V., et al. (2014). Business Intelligence in the Cloud. Procedia - Social and Behavioral Sciences, 109, 644-651.
  • Sharma, A., et al. (2019). Customer Analytics in E-commerce: An Overview. International Journal of Business Analytics, 6(2), 50-72.