Need to present a discussions on 1.  The author discusses what makes for good analytics and mentions that “garbage in equals garbage out”. Using a minimum of 5 sentences, explain what that means to you and, how garbage in garbage out could impact your reporting and business decisions. Feel free to include other attributes (pages 8-9) for good data. 2.  How has Covid-19 impacted supply chains? How have you been impacted? Covid-19 has impacted supply chains around the world and across all industries. In at least five sentences, explain how you have personally been impacted by supply chain disruptions since the pandemic started. Please exclude toilet paper. Touch on what you learned about supply chain disruptions and how labor and material shortages impact product availability. Note : NO PLAGIARISM Should have minimum of 5 which describes the information about the discussions. Tips: Should be in simple words and no usage of critical words and attached the file to know in detail to write on it. This question is from a Supply chain management subject so that the matter should relate to Supply chain management for sure and should connect to readers.

1. The concept of “garbage in equals garbage out” is a fundamental principle in analytics that highlights the significance of data quality in producing accurate and reliable insights. It implies that if the input data or information used to perform an analysis is of low quality or inaccurate, the output or analysis result is also likely to be of low quality or inaccurate. In other words, the quality of the output is directly dependent on the quality of the input.

When applied to reporting and business decisions, the impact of “garbage in garbage out” can be substantial. For example, if incorrect or incomplete data is used to generate reports or analyze business performance, the resulting reports will provide misleading or inaccurate information. This can lead to wrong conclusions and potentially poor decision-making. Moreover, the ripple effect of using inaccurate data can extend to other areas of the business, such as forecasting, planning, and resource allocation, leading to suboptimal outcomes and wasted resources.

To ensure good analytics and mitigate the impact of garbage in garbage out, several attributes of good data, as mentioned on pages 8-9, should be considered. These attributes include data accuracy, completeness, timeliness, consistency, relevancy, and accessibility. Data accuracy ensures that the information is free from errors and reflects the true state of the phenomena being measured. Completeness ensures that all relevant data points are included, while timeliness ensures that the data is up-to-date and reflects current conditions. Consistency ensures that the data is collected and recorded in a standardized and uniform manner, enabling meaningful comparisons. Relevancy ensures that the data is aligned with the specific objectives of the analysis or reporting. Accessibility refers to the ease of accessing and retrieving the data when needed.

By prioritizing these attributes and implementing data quality control measures, organizations can improve the reliability and validity of their analytics, thereby minimizing the risk of garbage in equals garbage out scenarios. This includes conducting data cleansing and validation processes, implementing data governance frameworks, investing in data management technologies, and promoting a data-driven culture within the organization.

2. The Covid-19 pandemic has had a profound impact on global supply chains, disrupting the flow of goods and materials across industries. Personally, I have experienced supply chain disruptions in various ways since the pandemic started. One significant impact was the shortage of essential goods, such as medical supplies and cleaning products, which became scarce or difficult to procure. This scarcity was mainly due to supply chain bottlenecks caused by lockdown measures, reduced production capacities, and global transportation disruptions.

Additionally, I observed labor shortages affecting the availability of certain products. As factories and manufacturing facilities had to implement social distancing measures and face labor absenteeism due to illness or quarantine, production rates decreased, leading to delays in product delivery. Moreover, the dependence on international suppliers and the interconnectedness of supply chains became apparent, as disruptions in one region quickly affected the availability of products globally.

The material shortages caused by supply chain disruptions also impacted product availability. For example, the shortage of raw materials like semiconductors affected the production of electronic devices, resulting in delayed launches and limited supplies of new products. This, in turn, affected consumers’ ability to purchase these products and impacted the performance of businesses reliant on these products for revenue.

Through these disruptions, I have learned the critical role of resilience and adaptability in supply chain management. The ability to quickly identify alternative suppliers, diversify sourcing options, and implement contingency plans is essential to mitigate the impact of supply chain disruptions. Moreover, maintaining transparent communication channels with suppliers and customers, as well as closely monitoring market dynamics, can help identify potential disruptions and allow for proactive decision-making.

Overall, the Covid-19 pandemic has highlighted the vulnerabilities of global supply chains and emphasized the need for robust supply chain management practices that prioritize flexibility, visibility, and risk mitigation strategies.

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