Preparing and using Cymbal Retail’s data for analysis
1. Preparing and using Cymbal Retail’s data for analysis
Let’s begin by exploring the role of a Professional Data Engineer in preparing and analysing data for Cymbal Retail. The management at Cymbal Retail understands that data becomes most useful when it can be used to make decisions. They have employed advances in data based decision-making for several decades. The company's leaders need analytics and decision support systems to be flexible, agile, and customizable to their needs. One of your key responsibilities as a Professional Data Engineer is to help support the business in effectively using data to make decisions. As much as up-to-date analytics is useful for Cymbal Retail, the management realizes that their partners would benefit from it too. You need to ensure data is shared in a secure, limited way. Partner-specific reports are available. These partner accounts are controlled for access and granularity by the data engineering team. Industry and government bodies frequently request data from Cymbal Retail, which the company is obliged to provide in a short turnaround duration. Any data access is limited strictly on a need to know basis. As a Professional Data Engineer, your role also involves supporting Cymbal Retail’s goals of advancing its machine learning technologies. Fine-tuned predictions in estimating demand and individual customer behavior has helped reduce inventory while increasing sales. The adoption of the latest machine learning and artificial intelligence technologies has been key to this development. As Cymbal Retail is investing more in the adoption of relevant machine learning technologies, data engineering must process the data to make it usable to build machine learning models and build such models.2. Let's practice!
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