"Exclusive" Big Data era coming it how to prepare

Whether you are ready or not, the big data age will come. At present, IT managers need to do the following 5 things to meet the challenges of future massive data.

by David Linthicum | InfoWorld

Is your big data plan ready? If not, you may want to start thinking about designing one.

Today, big data is revered or oversold as a key strategic asset in the future-depending on your personal opinion, but that means that it is only a matter of time before any CEO of a company wants to know what it thinks of big data and how to meet the challenge.

So how do you get back to CEOs? To be sure, handling large amounts of data is no novelty for most IT departments. But without hype, analysts say large data analysis does have a distinct difference from previous analyses of data warehousing, data mining, and business Intelligence (BI).

Data is emerging at an unprecedented rate, and unlike the data produced in the past, most of the data now produced is unstructured and native (sometimes called "gray data").

Blogs, social media networks, mechanical sensors, and location-based data form the entire unstructured data system. The ability to capture, manage, and analyze these data quickly can help companies discover facts and patterns that they have not been able to recognize in the past.

"We have collected data for a long time, but the results are limited. Because although we make a lot of data, none of us can tap into the value of that data, "Paul, a leading forum and technology program Director of computer science. "Data is archived and modeled around business processes, rather than providing generic information to the enterprise, which is a significant shift from collection to connectivity," Gustafson said. ”

For example, according to a May report by the McKinsey Global Institute, the health care industry in the United States can improve efficiency and increase productivity through effective use of data such as care, cure rates and quality of service, and patient histories. The report shows that such a large amount of data could create value of more than $300 billion a year; The report also suggests that big data could also lead to an increase in the retail sector's average operating margin of more than 60% per cent.

It is the people who stand at the forefront of the data revolution, "This is a new opportunity: You can walk into the CEO's office and say to him that I can improve the business and provide information that I couldn't reach five years ago in a few seconds," said industry watchers. "said Williams, a CIO at the marketing department.

Williams should know that Katrina maintains a database of up to 2.5PB customer loyalty, which includes more than 190 million dollars of retail data collected through the largest retail chain, which in turn generates coupons and facilitates sales based on the purchase history of the information.

Williams and other industry observers agree that the technology managers must develop their own enterprise information management architecture and culture to support the advanced data storage analysis of terabytes and Pb (or EB and ZB metering potential) data levels to guide the enterprise into the real-time forecasting intelligence age.

"IT managers often say they are doing their best to do big data business because it's an amazing opportunity." "said Williams. So to meet the big data age, it needs to overcome the obstacles that prevent big data from coming.

Early large data technology is still in the initial stage of development, product maturity has not reached a certain level can make IT managers accustomed to the use of professional software tools.

Many of the emerging big data products are rooted in open source technology, although they are available through many commercial channels, but there is still a lack of sophisticated third-party consulting and supportive external environments, just as traditional applications have sophisticated service providers, as Erp,gartner research director Marcus Collins.

More importantly, most IT departments have so far only been building and maintaining a more traditional, structured data warehouse, and there is still a significant gap in large data skills.

Before big data problems become a major problem, companies need to make significant changes from corporate culture and information management practices, Gartner Vice president of information management Mark Baire pointed out.

Bayer and other analysts believe that savvy IT leaders will now arm themselves and the company and make significant changes in due course.

(Responsible editor: The good of the Legacy)