Faced with a new thing many people in the first time hard to accept, and "big data" has also been taken as the target of attack. However, it is undeniable that big data has brought a lot of power to IT, and how to effectively use data to promote business success has become a part of the national strategy.

Many people have expressed their opinions and understanding of big data, and it's all a matter of course for readers in the IT industry. But it is these well-known truths that are usually too important to ignore. In the following, we will reintroduce the "pitfalls" of Big Data and discuss how we can avoid failing to utilize Big Data.

Whether you really need a lot of data

It has been said that as long as there is a certain amount of data, the results of the analysis will not make a big difference, regardless of the amount of data. If this is true, one can't help but wonder why big data exists at all. These views make one feel the contradiction faced by big data. It is expected that analyzing big data will lead to new discoveries that have not been recognized before, but sometimes the result is just the facts that are already known.

Is there a problem with the "quality" of the data

Who maintains the large amounts of data? How can the "quality" of the data be guaranteed? Although it's customer data, it's not just customer data. When it comes to big data, there's a lot of data outside the organization that needs to be processed. However, the "quality" of the data, such as whether the data is up-to-date and how accurate it is, is very important. There is no point in analyzing data whose provenance is unknown. If customer data is not readily maintained, it is of no value.

Are you neglecting the motivation of your employees

While focusing on business growth, you should also be working to develop data scientists and improve the ability of your field staff to analyze data. If the people who have direct contact with customers in the field, such as at the front of the store, become "good with numbers," and if they are able to think about things and make judgments based on data more often than not, the business will be stronger.

The increase in sales from the field may be small compared to the sales figures that can be generated using big data, and the analytical power is far less than that of a data scientist. But even so, by expanding this approach horizontally to other sites, the numbers accumulated can be significant. And, most importantly, this approach improves the motivation of employees in the field.

These points mentioned above are important for big data, and still and used for the entire information system, the IT industry has long been looking forward to big data, want to make big data growth and development, you need to work hard, do not be bound by the magnificent appearance of fiddling, I hope that you carefully consider the above points.