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Step Ahead with Big Data?

"All manufacturing industries in the future will become the terminal business of internet and big data. What the manufacturing industries in the future want is not oil. The biggest resource of future manufacturing industries is big data instead. " - Jack Ma

Big data, also known as high volume of information, refers to the datasets which are so large in scale that we cannot capture, manage, process, or organize for human to interpret within a reasonable time. Given the same total amount of data, when compared to an array of individual analysis of small datasets, big data groups can combine and analyze the individual small datasets all together. This further enables the big data to come up with a lot of additional information and deduce the correlation of the data. These can be used for detecting business trends, judging research quality, avoiding spread of diseases, fighting against crime, or measuring real-time traffic, etc. The above applications provide good reasons for the prevalence of big dataset.

Recently, as big data is being talked about more often, some people say that the era of big data has arrived. "New York Times" had mentioned in a column in 2012 that the era of "big data" has come. No matter whether it is in the commercial, economic, or other fields, decisions will be gradually made basing on information and analysis, rather than human experience and intuition. The accuracy of big data allows companies to make business decisions more confidently while accurate business decisions lead to efficient operations as well as reduction in cost and risks. For example, nowadays, investors can make use of large data without the help of large-scale computer system to immediately track thousands of stocks via their hand-held devices.

Big data has been broadly applied. As long as you are connected to the internet, you are able to stick to the latest information of the company. You can retrieve your company's real-time generated reports which allow you to gain in-depth business insights and grasp the important information for making appropriate decision anytime and anywhere. These systems help reduce lots of unnecessary process and time. Big data is really your good assistant.

In addition, big data can be collected in many different formats, allowing you to report the works with multi-media. In the past, users mainly relied on text-based information to report their works that often caused a lot of confusion and misinterpretation as information was usually incomplete. But now, users can use their mobile devices to capture photos, record sound and video clips at the site, mark the location with GPS as well as uploading the data instantly to the business database. As a result, not only does your data become more meaningful, but it also helps you stay ahead of the industry. It is particularly suitable for industries involving a great deal of field work.

The key to success in the 21st century is the integration of tools, people and processes. With this combination, we can capture and process data as well as obtaining operable business intelligence in order to improve business results. "Speed" is the key to success. After all, you can only achieve the true value of big data if you have a network fast enough for your business intelligence.

To all businesses, the advantages of using big data are obvious. It helps establish a more comprehensive business model and increase the competitiveness of the enterprises. Big data helps to solve major problem of the enterprises via the intelligence. In this ever advancing society, you have to step ahead by using big data which allows you to make business decisions more efficiently. At last, let us conclude the significance of big data with the quote by Jack Ma, “All manufacturing industries in the future will become the terminal business of internet and big data. What the manufacturing industries in the future want is not oil. The biggest resource of future manufacturing industries is big data instead.” It is believed that big data is going to be the highlight in the coming years. Let’s explore more of it!