Recent news about big data is everywhere, and such reports never stop until now. Relying on the large amount of available data, we can do more than we thought a decade ago, but for big data, we also need to face another problem-enterprises are now facing great risks.
It is hard to imagine that we are talking about such a huge amount of data. As said in an article, "in 2011 alone, 1.8 megabytes (0.18 billion bytes) of data will be created, equivalent to three Tweets per minute written by every American citizen for 26976 years." By 2020, this number is expected to increase by 50 times.
This is a huge amount of data. While providing many advantages, big data also brings about some risks. We will analyze them one by one as follows:
Risk 1: loss of Sensitivity
In a typical large organization, data storage adopts a multi-layer mode. Transaction data, mail data, analysis data, and so on. The management hopes that people can quickly locate, analyze, and ultimately make decisions based on the data. However, in today's ever-changing business environment, if data is not well evaluated, organized, and stored, key information may be hard to be found-on the battlefield of a mall pursuing efficiency, the speed at which opportunities are seized is crucial.
Risk 2: loss of compliance
Questions about how long companies need to retain data, how they retain data, and where they need to be retained have become increasingly complicated legally. There are both general regulations and rules set by the industry and specific institutions. Generally, random audits are determined based on a company's data and their policies for actually managing data. A reduction in compliance may result in a major penalty or damage to reputational risks.
Risk 3: Security loss
Compared with the past, data can be stored in more different places. But it also greatly increases the method of data intrusion. Security vulnerabilities may cause theft, fraud, fines ......, Reputation Loss. No company is willing to appear on the front page of The Wall Street Journal because they have been hacked.
Risk 4: money loss
With the increase in data volume, people simply put this problem on new servers. After all, the storage cost is cheaper, isn't it? But if I think about it again: I once worked with a customer who needed a completely new data center to store data. After research on sungard's availability service, they found that their company not only does not need a new data center, but actually only needs half of the existing data, because they do not manage their data well. At first glance, the server seems very cheap, but never considers the storage cost low.
Big Data is a good thing, and there is no doubt about it. But the risks of big data are very bad. Today's companies need to manage their data to minimize their risks. This involves the development of policies that comply with management standards, the process covering all emergencies, the latest retention period, and a long-term evaluation of which data is necessary for the normal operation of the company..
The more efficiently the company stores, manages, and stores data, the more agile, compatible, secure, and cost-effective the company's operations.
But without big data, we will be at a greater risk.
(Note: This article is compiled by the OCCS software Cloud Factory. For more information, see the source)
