Have you ever heard that data is an asset that generates value?
If the answer is yes, try asking your interlocutor the following question: "can you tell me how much your company's data is worth?"
This book aims to find an answer to that question to help all those data managers who need to convince their organization how relevant it is to consider data as an asset, and as such, to value it.
Good data management starts with the question: what do I want the data for? Thus, the first step is to understand the company's objectives and then analyze how these general objectives are translated into business metrics, for whose improvement a fundamental lever is the uses we make of the data that we have been patiently, expensively, and carefully storing, cleaning and organizing (modeling). After this reflection, from strategy to information, we should decide what technology to acquire, what talent to hire, and what governance model to implement.
The Strategic Relevance Method for calculating the Value of Data helps you identify the key levers that will help you implement a successful Data Strategy.