Descriptive analytics is based on what has happened and trying to figure out why. Predictive analytics is trying to understand what might happen. Data is per hour or per day or longer=small amount of data. Big Data is per seconds=big amount of data. Companies use big data to identify customers’ preferences to improve the shopping experience. Business intelligence (BI) is a strategy used to review the data and turn it into a business plan to improve. This helps companies improve customer experience and make decisions based on the data. The difference between Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) is the amount of data analyzed in a transaction. OLTP is used in retail to store data in real-time and OLAP stores a summary of data. Supply Chain Management (SCM) is how a company handles the flow of goods. It affects business because if it is done correctly, it will improve trust and collaboration between customers and the company. It will also improve inventory visibility and velocity. Customers will share the food purchased and it will cause the company to sell more of the good.
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Hello Isel,
Great post, I like how you talked about many different things that relate to the way a company collects and uses customer data. I enjoyed reading about the two different processing, Online Transaction Processing and Online Analytical Processing because they also show how companies used the data collected from transactions to better improve their customer experience. Supply Chain Management (SCM) is also important for an organization to properly maintain the flow of goods and services going out and coming in a business. Overall as you said trust and collaboration between customers and organizations is going to affect the relationship between the two in a great way if done correctly.