The rapid development of informatization in modern society, Internet technology, information technology, and big data technology are all around us. All work and life will be connected to information and data, and we must cultivate our own awareness of data. So what is at the heart of data awareness? Simply put, you want to figure out the goal and push back the data you need in the process of disassembling the goal. Today we will give an example of this problem.
Suppose your purpose is to increase your salary income, often the level of wages and the strength of their own ability have a lot to do. The stronger your abilities, the higher the salary. Strong ability requires the improvement of self-ability, which depends to some extent on your learning time. In this way, a simple backwards system is formed, from your initial target income, backwards to increase the learning time to achieve step by step ability improvement, and then from the ability to achieve a salary income increase.
After decomposing the target, you can quantify these tiny nodes. For example, if you spend a few hours a day studying, it is possible to improve one of your abilities. And your relentless learning improves this ability, which in turn improves your competitiveness in the workplace. It is possible to double your salary income. So you can see that one of the core data indicators is your learning time, and paying attention to and optimizing the learning time can gradually get closer to your goal.
We must learn to often dismantle this small goal of work and life, through the dismantling, analysis, summary, induction of these events and projects, over time we can cultivate your own characteristics of the data awareness, through these data awareness you to look at the problem and analyze the problem, will be more profound and transparent.