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The new generation of digital technology represented by mobile Internet, cloud computing, big data, AI and artificial intelligence is subverting people's proction and life style and reshaping everything. New technology gives birth to new business models and new economic forms, and promotes the transformation and upgrading of traditional economies. Digital transformation has become the core strategy of a large number of enterprises. Some data show that 67% of the global top 1000 enterprises and 50% of China's top 1000 enterprises will take digital transformation as their strategic core

strategic transformation, talents first. In the digital transformation of enterprises, human resources department should not be a passive participant, but a promoter and leader. The first thing that the human resources department should do well is the digital transformation of its own talent management, that is, digital talent management. What is digital talent management? As the name suggests, talent management should be digitized. First of all, effective data should be collected, such as data of organizational climate, data of engagement satisfaction, data of talent ability / potential, data of performance, quantitative data of leadership behavior, data of instry benchmarking, etc. Secondly, it is necessary to establish an analysis model for these data, using correlation analysis, cross analysis, regression analysis, comparative analysis and other analysis methods. Through the analysis of the data, we can find the parts that can not be touched by experience, drive deeper insight into talent management, and get more forward-looking talent management suggestions and more scientific talent management decisions

so how to do the digital transformation of talent management

technology layer

technology layer is divided into two parts, one is it technology, namely big data, AI human intelligence, cloud computing and other core technologies, as well as PAAS and SaaS system platforms. The other part is the professional technology of talent management, including various index database, model database, question database, norm database, scale database and so on. These two parts together form a strong technical base to support the overall digital talent management

tool layer

technology layer be transformed into usable means? Yicai has developed a large number of talent management tools from three levels of organization diagnosis, talent evaluation and learning development, including engagement satisfaction survey, organization atmosphere survey, quality assessment, 360 degree assessment, AC evaluation center, various workshops, personal IDP, etc., forming a tool layer

application layer

for enterprises, it is more concerned by managers to effectively solve the enterprise pain points. The application layer is the actual landing of the tool layer to solve the practical problems in enterprise talent management, such as recruitment and selection, talent inventory, echelon construction, high potential identification, etc

the decision-making level

the decision-making level should solve the problems of organization and indivial. From the perspective of organization, how to achieve talent matching? Including: person post matching, team matching, person and strategy matching, etc. From a personal point of view, how to do better self-awareness, play advantages, clear career path and so on

What's the future of Java? First of all, let's take a look at the salary of java development at present:

this is the salary of Java in Beijing. If you learn Java and find a job in Beijing, Shanghai and Guangzhou, the salary is generally about 7-15k. If you have more than three years of development experience, The salary is about 10-50k. From the literal expression, you can understand that Java has a very good prospect, and Java has been developed for many years in my life, and it is very mature. After you learn Java, you can find a job in the first tier, second tier and third tier cities. You don't have to worry that you can't find a job in the second tier and third tier cities, because this language is very mature, unlike python, At present, python can only work in the first tier cities, but basically can't find a job in the second tier cities. The development is very immature, and the salary is relatively low. Moreover, the speculation in the past two years is fierce

to answer your second question, how to learn zero basis self-study:

first of all, it's not easy for a beginner to change his career to learn Java. Java itself is difficult. Although interest can make us not tired, how many people learn because of interest, Or how many people know what their interests are? So I tell you very clearly that learning is a very painful thing, and not many people are willing to learn. But maybe you are a fresh student now, or you have no development in your own job and want to change your career, so you must force yourself to learn anything, otherwise you may not be able to learn anything, I read the answers of other respondents. Personally, I don't think that those professional terms are good for zero basis, because they can't understand them at all. My vernacular can give zero basis students a clear learning direction and what they should do at the beginning< Most Java learners are definitely looking for a job, so as a novice with zero foundation, you must know what standard you need to reach when looking for a job, so your first direction is to look at the recruitment confidence on various recruitment websites, which is your learning goal

2. Java needs a step-by-step and systematic learning plan. Don't think about the quick way of falling pie in the sky. Make a half year learning plan for yourself. Whether you can learn success depends on your execution in the half year. Make up the new knowledge you learn every day, and then use some cases and exercises to consolidate the new things you learn every day, otherwise you will forget

3. Learning Java is not the way we learn math and Chinese in school, so there must be a set of learning methods when learning Java. As a beginner, you will inevitably take many detours, and what you have to do is to try to cross the detours that the "predecessors" have gone through, and do not repeat meaningless things

4. According to my learning experience, learning programming needs a guide. Many problems can't be solved as beginners, which is a waste of time. For example, many beginners can use one day's time to configure JDK, so we don't need to waste time in this aspect. Let us know and remember next time, So there must be someone to guide you in learning programming

5. Systematic learning tutorial, self-learning Java, is definitely the main video and sub book, because most people can't read the book, so the video should be novel, systematic, not messy and not refined. The only recommended book for beginners is Java core technology

let me briefly talk about training:

many people don't recommend training. I personally maintain a neutral attitude, because training is like going to school. It's much better if someone takes it with him, but you must be clear that learning is always your own business. If you don't work hard after class, everything will be wasted, If the conditional can choose to train, the probability of learning will be high. If the condition is general, you can choose self-study, as long as you can insist on the whole every day, you can get a return in the end. This is certain. I am self-study, but I also know the pain of self-study, so I want to answer here. I also hope novices can avoid too many detours and give up

learning points:

1. In the case of no one to teach you, you will not know a lot of things, so the first point is the code specification. I have seen that many people write code in the top grid, so they go wrong at the beginning and are easy to give up

3. Try to solve the problem by yourself first, but you really can't understand it. Go to other people to solve the problem and exercise your ability to solve the problem

4. To improve learning efficiency, don't care about a problem for too long. Just plan what you do every day and finish it. Remember my elder brother's words: you can't chew too much

well, I won't say too many professional terms, so novices can't understand them. The above are some suggestions for me to learn java with zero basis. According to my previous years, including my current work, beginners can do what I said above. They don't have any problems finding a job. If they have any problems, they can consult me at any time. If they think it's good, they hope to give me some praise and add some attention

the most important thing is the ability of data governance and data analysis

in recent years, with the rapid development of big data instry, enterprises and governments have a new understanding of the value of their own data assets. Unfortunately, the data itself can not directly generate value. When we want to use data to generate value, many problems will be exposed, such as: lack of data standards, unclear data source, lack of supervision of data quality, etc. This requires us to have a unified data standard and good data quality to form the basis of data value realization. And data governance is just to ensure the existence of this foundation