Leveraging Data Warehousing and Decision Support Systems for Effective Supply Chain Management

Leveraging Data Warehousing and Decision Support Systems for Effective Supply Chain Management

연구 분야: Databases

학회: 2023 IEEE 8th International Conference on Smart Cloud (SmartCloud)

In today's ever-growing business environment, supply chain management has become progressively complicated and challenging. To succeed and remain competitive, businesses need to be able to make wise and prompt decisions based on real-time data. This is where data warehousing and decision support systems (DSS) can be critical. This is where data warehousing and decision support systems (DSS) come in. Data warehousing provides a centralized repository of data that can be used for analysis and decision-making. Alternatively, DSS are computer-based systems that provide collaborative, user-friendly tools for decision-making, aiding users to make sense of complicated trends and identify patterns and opportunities. Combining data warehousing and DSS can significantly enhance a business's supply chain management capabilities. Organizations can gain comprehensive visibility into their supply chain processes by accessing a wealth of integrated data through the data warehouse. This visibility empowers them to identify bottlenecks, inefficiencies, and areas of improvement. Moreover, DSS tools enable supply chain professionals to monitor critical metrics, such as inventory levels, shipment tracking, and sales opportunities, thus helping them make proactive decisions that drive business growth. For instance, data warehousing and DSS can aid businesses in forecasting demand accurately, optimizing inventory levels, and streamlining logistics, all of which contribute to cost savings and improved customer service. Additionally, these tools can enable companies to identify emerging market trends and adapt their supply chain strategies, positioning them as agile and responsive players in the market. The role of data warehousing and DSS in contemporary supply chain management is vital. These technologies empower businesses to leverage data-driven insights, make informed decisions, and respond promptly to changing market dynamics. By embracing data warehousing and DSS, businesses can gai... Show More