Data for Decision-Making in Starbucks, Amazon, and Google

Data dominates business leaders in organizations large and small, and the most effective leaders delve into data analytics to find ways to drive their business to the next step. Today’s largest and most successful companies use data to their advantage when making critical business decisions. You can now search the web for success stories of well-known companies.
What types of data do Starbucks, Amazon, and Google (Alphabet, Inc.) use to make important decisions?
Do you see similarities in the types of data needed to make these big decisions?
what’s the difference?

Decision-making data for Starbucks, Amazon, and Google

Different business units rely on key information to make long-term decision-making tenure decisions. Starbucks developed a technology platform to help him analyze locations. It uses data such as traffic patterns, population density, and median income to identify areas for its new business (Shirdastian et al., 2019). Amazon uses data from Audible audiobooks, home security cameras, e-commerce marketplaces, fitness trackers, Kindle e-readers, video and music platforms to make informed decisions (West, 2019). Google uses its data technology from performance reviews and employee surveys to make decisions (Li et al., 2019). The company believes that data drives every direction and every step. Specifically, the three companies invest in data management, tracking and collection to make fundamental decisions that drive the company’s success.

There are similarities in the types of data each company uses in its decision-making. As each entity struggles to expand, they rely on similar data, such as population density and performance ratings. Again, income information is standard as most companies use it for investment purposes across different groups of people. Google conducts continuous relationship research on its employees (Li et al., 2019). And e-commerce market data………

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