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Essay / Analysis of the book “Winning with Data” by Tomasz Tungez and Frank Bien
Management is the process of pursuing organizational objectives by planning, organizing, controlling and directing with the objective of efficiency and 'efficiency. Often, consumers look to management to ensure their needs are met as they desire. As the world becomes faster and more advanced, businesses and businesses face the challenge of keeping their products modern and up to date. As businesses progress, it is the responsibility of management and leaders to introduce change and have the means to adapt. Generally speaking, change is sometimes vital to ensure that the organization remains competitive. Change is defined as creating or becoming different. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essay In “Winning with Data” by Tomasz Tungez and Frank Bien, examine how using and understanding large amounts of data can help drive business transformation. It helps individuals and business owners adapt their organization to get the most out of data usage. Changes in technology (data) drive culture change. Businesses want to be able to maximize the benefits of using and understanding daily changes in data, this optimizes all aspects of the business, improves decision making and transforms business strategy. In Chapter 4, “Achieving Data Enlightenment,” the authors spend time explaining how tracking customer behavior and satisfaction at each stage of the purchasing journey can be used to complement price elasticity and transform the perception of the company. Price elasticity is the measure of customer demand or supply responsiveness to price changes. In the book, they used an NPS (Net Promoter Score) survey, which is primarily used to measure customer loyalty. Using this data along with customer insights, customer trends help marketing and human resources teams better serve the company's customers. Using data will help organizations understand who their customers are and what they like. How can we request the data, what do we do with the data we request, and how will the data benefit “us” or “our companies”? Conclusions and decisions can be made about products using the data. The data usually used is generally generated and collected from consumer feedback. There are various forms of data such as self-reported data, enhanced data, web data, social media and more commonly used transactional data. Amazon's success lies in its use of data. Amazon used data collected from its customers' browsing history as well as their purchasing habits to rationalize which products they thought would be popular based on the data they respected to persuade you to buy products. Tunguz and Bien point out that “product managers record user actions down to the millisecond to understand exactly which customer journeys maximize revenue and where in the product customers are becoming confused or abandoning (2).” Amazon has won people over with its ability to offer low prices and a simple, efficient customer experience. Amazon's use and implementation of the data collected is what.