Five key points for large data project development

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; The world is "roaming" in the Big data! As large data impact increases, projects involving large data are growing rapidly. According to a recent survey, almost one-third of enterprises are investing in large data projects, but not all of the investment has been rewarded, so how to ensure the successful development of large data projects has become the biggest concern of the major enterprises.

The following small series will introduce you to ensure that large data projects successfully developed five key issues.

1, clear the goal of large data projects

Large data projects are not just collecting data and information, but most importantly, capturing the value of the enterprise from these massive data messages. So before you make a big data project, you have to have a clear goal, and then analyze what information you need to collect in large data projects, and which information is more important.

2. Decision based on data

This seems a bit superfluous, but some businesses often make decisions based on intuition rather than data. So the data collected must be good to use, or large data items will lose the meaning of existence.

3, choose the right person to use large data items

Interpreting and analyzing large data requires a lot of skill and expertise, so people who use large data projects must be selective (preferably with some relevant experience) to avoid bad decisions that cause huge losses to the business.

4, with the right equipment

The vast amount of data produced around the world is difficult to artificially control, and in order for these massive data to really play their part and to be better understood by the human brain, companies need to use the latest automation technology to process this information. The right equipment can not only guarantee the computer security, protect these valuable data, but also can effectively prevent the possible security threats.

5. Rational use of social media data

Corporate users are more likely to be using social media, from social media to get more data, such as what customers think, and he may be doing something in some way. Through social media data, businesses can learn more about customers and provide more appropriate products and services for their customers.

The above is only a few tips, large data project development requires a lot of skills and resources, but also inseparable from OLAP, data visualization, data analysis and other development tools.