The benefits that big data brings to the business

Many companies are now more active than ever to capture digitized information. According to IDC statistics, globally, the annual production of a Chak-ze (1000 trillion megabytes) of data. This massive data is driven by more than 5 billion handsets worldwide, 3 trillion per month on Facebook, 2 trillion internet searches per month, and millions of network sensors connected to mobile phones, cars, containers, retail packages and so on, speeding up the data explosion. Large data is a platform that converts all this data into operable projects that facilitate business decision-making.

Barriers that block big data analysis are shrinking rapidly. Large data cloud services, such as Amazon's resilient MapReduce and Microsoft's Windowsazurehadoop distribution, allow companies to deploy large data projects without upfront infrastructure costs and allow them to quickly respond to outward-scaling requirements. Support from commercial vendors such as Cloudera can accelerate development and deliver more value from large data projects. Bundled server options such as Oracle's large data devices provide quick set-up and outward-extending solutions. Finally, modular datacenter design is an emerging way to effectively manage hardware and scale and expand quickly and cost-effectively.

The greatest benefits that the following enterprises can derive from large data analysis:

Supply chain, logistics and manufacturing manufacturing-using RFID sensors, handheld scanners, on-board GPS and cargo tracking, logistics and manufacturing processes generate a wealth of information to provide important insights to optimize logistics routing, save costs, and improve operational efficiency.

Online Services and web analytics--internet companies have invented the process of dealing with large data-processing information for large-scale implementation on the Internet. Now, implementing these analytics platforms allows small online service companies to provide leading-edge advertising, customer intelligence, capacity planning, and more. Businesses that do not offer online services, but at the same time have E-commerce or other online transactions will benefit from understanding customer behavior and buying patterns, queue analysis, and other advanced analytics through the click Stream.

Financial services--financial markets generate huge amounts of stock market and bank transaction data that can help companies maximize trading opportunities or identify potential fraudulent fees, as well as various other uses. The new regulations also require detailed financial records to maintain longer periods of time.

Energy and utilities-intelligent instruments such as "smart grids" and electronic sensors connected to machinery, oil pipelines and equipment generating incoming data streams must be stored and quickly analyzed to identify and address potential problems that could lead to costly and even catastrophic failures.

Media and telecoms-streaming media, smartphones, tablets, browsing behavior and text messages are captured around the world, and user behavior and tastes are a growing potential treasure trove.

Medical care and life sciences-the electronic medical record system data is the world's most densely sensitive system data, all of which provide patient treatment options and clinical research data, and have a significant impact on individual patients ' treatment programmes and public health management and policy formulation.

Retail and consumer products-retailers can analyze a large number of sales transaction data, tap user behavior patterns and monitor consumer brand awareness, and use social networking data to understand consumers ' propensity to consume.

(Responsible editor: The good of the Legacy)