Five things marketers need to know in the big Data age

Most marketers are agreeing with the idea that big data is not only a technical challenge, but also a great boon for more effective market activity.

As long as the company has deployed marketing and promotional strategies, professionals are aware that they are more likely to achieve good results through better understanding of their customers ' information and motivations and an assessment of the efforts they have made.

So, as a marketing person, once you've crossed the early stages of how to collect big data, you need to understand how to manage and measure that data and how important they are to business development. To help with the development of such an emerging information field, here are a list of five things marketers need to know about managing and using large data:

Define how to Http://www.aliyun.com/zixun/aggregation/17326.html "> Store data. Most importantly, you need to be clear about where and how to store the data before you collect it, which is mainly about the format of the data and the physical location of the storage. So can the data be stored using cloud computing technology and accessed from multiple locations? If not, can it be stored locally and how to back it up? In addition, can the data be encrypted? There are many solutions to these challenges, It is therefore necessary to take into account the various factors before making a final decision.

Determine what should be measured. Most of the time, customer data is our main collection and analysis, because there will be many datasets on the customer subset, so we have to determine which datasets need to be evaluated and cross the list. Identifying these things early on will make it easier to match customer relationship data with predetermined data to get useful results.

Make sure your data is accurate. It seems like something that doesn't need our attention, but many times we give too much credence to the numbers we get. As with other things, we need to check some of the data in the dataset carefully to make sure that the data is completely accurate. With this kind of verification, you can confidently assume that the information you are collecting is exactly what you want, and that the calculations are very accurate. If the results are biased, it may be the process of error, which requires a high degree of attention. At the same time, it is important to ensure that the information transmitted to others for analysis or thinking before the audit work.

Learn how data should be propagated. As a marketing person, once you have the data and related results, you have to send it to more people. But you have to have a complete understanding of the data and what it supports, and know how best to present the data in order to digest it thoroughly. This requires that there be more than one way of presenting data, but in any case ultimately it is back to the recommended action. This is the concept we are going to cover next.

Understanding and implementation of action programmes. After analysis, be fully aware of the logic behind the recommended actions, and get the support of the data (from various angles, if possible). Then, the action plan is worked out by the concise steps, and the results are forecasted. This is the application of large data, but also the market personnel must do the best place!

(Responsible editor: The good of the Legacy)