1. The collections of data by many organizations are still playing catch-up and trying to close our Big Data skills gap (Bernard, 2017). According to the case study, Green Mountain Coffee in Waterbury, Vermont analyzes structured and unstructured audio and text data to learn more about customer behavior and buying patterns (Laudon, 2015). When customers called into the contact center the company is collecting the data from people feedback. This data collected provide how many people are asking questions in specific details about it’s the product and how they were asking for those specific products, which products generated the most questions, and which products and categories created the most confusion (Laudon, 2015). Then in the paragraph
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According in OpsClarity the benefits for business to analyze big data it said to provide fast data powered core customer-facing application, powered analytics and helping with the optimization of internal business processes (DataIQ-TM, 2016). Green Mountain Coffee management is now able to identify issues more rapidly before they create problems for customers because it maintains and properly analyzes big data. AutoZone uses big data to help it adjust inventory and product prices at 5,000 stores (Laudon, 2015). That benefits the company to make the right decisions and be sure the right products are in the right stores at every time therefore maximizing earnings. It used to take Sears six weeks to analyze the efficiency of its selling activities. Now they can do it in a matter of minutes for the reason that it has the big data and better technology to do so. Sometimes in the world being collected big data isn’t synonymous that you are collecting the right data, and it doesn’t mean that it is producing better material, or that individuals will make clever decisions. Countless businesses have hurried to collect big data lacking for the reason and shaping the tangible corporate need for the data. It doesn’t mean that because we have big data analysis we are capable of discover subtle relationships, and it doesn’t equal to the connections to have any worth or
According in OpsClarity the benefits for business to analyze big data it said to provide fast data powered core customer-facing application, powered analytics and helping with the optimization of internal business processes (DataIQ-TM, 2016). Green Mountain Coffee management is now able to identify issues more rapidly before they create problems for customers because it maintains and properly analyzes big data. AutoZone uses big data to help it adjust inventory and product prices at 5,000 stores (Laudon, 2015). That benefits the company to make the right decisions and be sure the right products are in the right stores at every time therefore maximizing earnings. It used to take Sears six weeks to analyze the efficiency of its selling activities. Now they can do it in a matter of minutes for the reason that it has the big data and better technology to do so. Sometimes in the world being collected big data isn’t synonymous that you are collecting the right data, and it doesn’t mean that it is producing better material, or that individuals will make clever decisions. Countless businesses have hurried to collect big data lacking for the reason and shaping the tangible corporate need for the data. It doesn’t mean that because we have big data analysis we are capable of discover subtle relationships, and it doesn’t equal to the connections to have any worth or