This week’s article provided a case study approach which highlights how businesses have integrated Big Data Analytics with their Business Intelligence to gain dominance within their respective industry.  Search the UC Library and/or Google Scholar for a “Fortune 1000” company that has been successful in this integration. Discuss the company, its approach to big data analytics with business intelligence, what they are doing right, what they are doing wrong, and how they can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence. Your paper should meet the following requirements: • Be approximately 3-5 pages in length, not including the required cover page and reference page. • Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion. • Support your response with the readings from the course and at least five peer-reviewed articles or scholarly journals to support your positions, claims, and observations.  The UC Library is a great place to find resources. • Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

A company that has successfully integrated Big Data Analytics with Business Intelligence is Amazon. Amazon is a Fortune 1000 company that has revolutionized the retail industry with its data-driven approach. Amazon’s success can be attributed to its ability to collect and analyze vast amounts of data, and then utilize that data to make informed business decisions.

Amazon’s approach to big data analytics with business intelligence begins with the collection of customer data. The company collects data on customer preferences, purchasing habits, and browsing patterns through various channels such as online transactions, customer reviews, and customer interactions. This data is then stored in Amazon’s data warehouses, where it is processed and analyzed using advanced analytics tools.

One of the things that Amazon is doing right is its use of personalized recommendations. Through the analysis of customer data, Amazon is able to provide personalized product recommendations to each individual customer. This increases customer satisfaction and drives sales by offering relevant products that are likely to be of interest to the customer. Amazon’s recommendation engine is continuously learning and improving based on customer feedback, resulting in more accurate and personalized recommendations over time.

Another area where Amazon excels is in inventory management. By analyzing customer data, Amazon is able to predict demand patterns and optimize its inventory levels accordingly. This allows the company to minimize the risk of overstocking or stockouts, leading to improved customer satisfaction and reduced costs.

One of the things that Amazon can improve on is data privacy and security. As a company that handles vast amounts of customer data, it is crucial for Amazon to ensure the privacy and security of that data. There have been instances where Amazon has faced criticism for its handling of customer data, and it should invest more in robust data protection measures to maintain customer trust.

Additionally, while Amazon is using big data analytics effectively, there is still room for improvement in the integration of business intelligence with analytics. Amazon generates large amounts of data, but it can further optimize its use by integrating it with its business intelligence systems. By integrating data from different sources and leveraging it with business intelligence tools, Amazon can gain deeper insights into customer behavior and market trends, enabling more strategic decision-making.

In conclusion, Amazon has been successful in integrating Big Data Analytics with Business Intelligence to gain dominance in the retail industry. Its personalized recommendations and efficient inventory management are examples of what the company is doing right. However, Amazon can improve in areas such as data privacy and security, as well as further integrating business intelligence with analytics. By addressing these areas, Amazon can enhance its implementation and maintenance of big data analytics with business intelligence and strengthen its competitive position in the industry.