Big Data to remember 5 lessons

For enterprises, http://www.aliyun.com/zixun/aggregation/8213.html "> Big Data Applications have 5 major lessons to remember."

1, to win the trust of stakeholders

The right analysis of large data is business rather than technology, and it is critical to gain the trust of the business unit before you start deploying large data applications. First, stakeholders will help you get the resources you need, including the team, the money, and the necessary data resources to make your project a success. Second, any data analysis is effective only if it is put into practice. If the main manager is unwilling to improve the business based on the results of large data analysis, all inputs will be wasted.

Enhancing stakeholder confidence will therefore be a priority.

2. Focus on the issues that are critical to the business

For many large organizations or businesses, it is common to have a virtually free cluster database that can be used to archive data and go offline.

If you can migrate unstructured data, it will help the enterprise to save a lot of the cost of purchasing authorization, and the deployment and management of such a system, you need to put into the system architecture, and the savings of the authorization cost can be used to the system architecture costs.

In this case, the advice to midsize companies is not to focus more on return on investment, not too much on cost savings. Getting the most business benefits is a mantra that needs to be focused on.

3. Training data scientists

To put large data applications into practice, the need for talent is the first. This is a difficult problem for large institutions with large resources, especially for midsize enterprises. Numerous market studies have shown that the demand for talent is difficult to solve in a short time. Instead of spending heavily on recruiting, there is no internal potential.

You can pick the business analysts who are passionate about the database Manager (DBA) who are willing to learn and take the appropriate steps to nurture them.

4, the correct use of native analysis technology

Having an enterprise-wide data-processing platform does not mean that the enterprise has the ability to control the meaning data, and it is a great thing to have a large data cluster, but the question is, can you make sure that you can get the business value you expect in the right way?

Despite the high end of large data platforms, many companies find it difficult to access and analyze data. Given that large data has become the focus of the entire IT industry, there will be a variety of product and program vendors in the market, but the effectiveness of these product solutions remains to be seen.

5, collaboration is the mantra

Business unit leaders, sales executives, and functional people who lack the necessary it knowledge will find it difficult to identify the results of large data analysis. It will soon be discovered that, despite unprecedented innovation, the people involved are afraid to put it to use.

By coordinating it and business lines, medium enterprises help to overcome possible roadblocks and avoid pitfalls that hinder success. In this way, not only can the enterprise properly manage the data, but also ensure that the correct data can be obtained at the right time. Data analysis is of vital value, and the data is found and proven to be effective, which will help companies make the right decisions.