[Big Data Business Forecast]
If you look at the big data business, we've used less expensive storage devices and high-performance processes to focus on collecting and storing data. In the future, the focus will be on collecting the most relevant data from one data to another in order to get the real information needed for big data analytics. In order to resolve the conflict between privacy laws and the drive for big data, we will focus on collecting data where it relates to the performance of the business in which the enterprise pursues.
Companies are trying to increase their opportunities to purchase products by connecting with the actions of consumers and people close to them. Collecting relevant information alone helps connect these behaviors. Going forward, organizations will be looking for data that focuses more on business outcomes, collects more relevant data, and gives insight that they did not have before.
[Big Data opportunity]
With the emergence of the Internet of Things and wearable devices, businesses have more machine data available. The potential for big data business is to acquire as much machine data as possible, and to provide distributed development and delivery, to health care, to reuse non-product resources, industrial automation, and to agriculture. Big data will bring new business opportunities in the form of new automation and innovation for all economies based on machine-generated data.
[Big Data Business Direction]
Over the next 12 months, more companies are expected to face security challenges, such as hacking or privacy concerns. How do we keep our uncontrolled mobile apps and big data safe? Will the key areas be encrypted only in part? Or will it encrypt every sector? The data security challenges you are doing should be part of your big data business.
An analysis in the B2B sector needs to be more individualized. Many companies have not realized enough personalized marketing to enable consumers to act and purchase. We need to target those companies and create the value of big data by upgrading their analytics.
It should also consider driving a self-service business model that empowers and charges developers, data scientists, and data analysts directly in the cloud.
Look for a new business model through the evolution of the existing open-source software model and the partnership of Hadoop companies.
Improved Hadoop technology by enterprise architects creates a platform that includes elements of high availability and business continuity in the requirements of big data applications, integrating Hadoop with differences in each platform into the data center.
Steve(JongMyoung) Park, Ph.D.
Ph.D. in Business Administration
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