Compared with the previous information production methods, big data has three obvious features: large data volume, non-structural and real-time data, which creates an infinite world of possibilities. Enterprises are establishing and applying big data solutions in an unprecedented manner. These solutions not only help them maximize their benefits, but more importantly, they have redefined their relationships with customers.
Why have enterprises become so obsessed? Is big data really so different from the previous large-scale data processing?
? Sample Data Analysis vs full data analysis
Until recently, enterprises have been using statistical sampling data technology to analyze large volumes of data. After a dataset is obtained using this technology, the company analyzes the speculative data and makes predictions based on the speculative results. However, if Big Data technology is used, enterprises can immediately analyze a large amount of data.
Enterprises that use big data are in a favorable position compared with those that use sample data analysis. This method makes the previous information structure useless, it requires new methods and technologies to convert data into information.
? Bring new vigor
In the past, enterprises first collected data and then analyzed it. Currently, data analysis can be performed at any time. Companies that can quickly implement data analysis and adjust strategies can seize a large number of business opportunities. A dynamic company can take immediate actions based on information to expand the value of data analysis, no matter when data is collected.
Any dataset may contain "junk" Information (inaccurate information). This is no longer a new topic. It is one of the problems involved in data collection. This requires enterprises to constantly understand the importance of viewing the data-not only effective swimming information, but also more problems, it even exceeds the valid information it can bring to the Enterprise. With big data technology, a dynamic enterprise can evaluate and quickly analyze potential enterprise problems and respond quickly.
? Data Source Method
Before going back to Big Data, enterprises can only use structured data due to customer restrictions and apply the data to create suitable data for associated databases. The Application of big data technology makes it possible for enterprises to use a large amount of unstructured data in depth: video data, audio data, images, text, tweet, Facebook push information, and other data waiting for creation.
? Cost reduction
For most enterprises, the processing of large-scale data is huge in the past. With the emergence of big data, it provides more equal opportunities for large enterprises and small and medium-sized enterprises. The scalability and growth of big data solutions allow more enterprises to provide services. With the continuous development and progress of technology, big data can provide solutions for the world's 50 million enterprises, rather than Fortune 100 companies.
? Enterprise Architecture
Big data will not change how we use new data for long-term planning for enterprises, but it provides a wider range of space for enterprises to adopt divergent thinking, this space is precisely what many enterprises cannot do regardless of their efforts. Big Data provides unlimited possibilities for enterprise innovation.
Because big data is innovative, it requires the enterprise culture to rethink how big data affects organizational operations, if enterprises want to benefit from big data solutions, they must have a set of solutions that can integrate data usage and information applications in all fields (such as marketing and cross-region cooperation ). The formation of this solution requires enterprises to continuously experiment, innovate development and application methods, and recruit outstanding management talents or even higher level leaders.
? New opportunities
Big Data creates new ways for us to process data and create valid information. Previously, data analysis was one of the ways to discover data and has formed a routine for companies to process data. But big data has changed everything.
IBM explained as follows: "big data cannot be measured in size; it provides an internal opportunity to discover new types and new data and content, it makes your business more dynamic and allows you to answer things you never imagined before. So far, there is no new way to surpass the opportunities brought by big data.
