The dark side of big data

Author: Hong Feifei, Executive editor: Sing

Hi, I'm Hong Feifei, a special editor for Big Data Watch. This article is a newer American article on large data applications, which I translate to you. In order to retain the original flavor, I did not remove the original, please compare the view.

The Dark Side of Big Data

The dark side of big data

by Sue Poremba (author: Hugh. Poremba)

There is a lot of talk about the benefits of big data, but There ' s a dark side, too.

There is a lot of discussion about the benefits of big data, but the same big data has a dark side.

"There is a difference inclusive what we want to measure and what we can measure." And we need to is on guard that we don ' t confuse the nonblank, Mchumo Kenneth Cukier, co-author of the book Big Data:a Revolution that Wi ll Transform how We Live, Work, and do, in a Yahoo News aspires.

The Big Data book is seen in a Yahoo news article as a revolution that changes the way we live, work, and think. Kenneth Curie, co-author of the book, points out that there is always a difference between what we want to measure and what we can measure, and we have to make sure that we don't confuse the two.

Any data can being measured, but what enterprises have verb to adequately explain are how this collected data would one day be analyzed D potentially used. This is what super-delegates consumers and employees concerned.

Any data can be measured, but at present the enterprise is not fully aware of how in the future will be collected data analysis and potential applications. And that's what customers and employees care about.

"Analyzing customer data to pattern behaviors are not a new concept, though it super-delegates become increasingly popular, driving awareness and visibility, "says David Baker, senior manager at Navigate, a management consulting firm." "With the reduced cost of data storage, user-friendly analytical tools, and a could in the amount and type of data collection P Oints, the use of business FDI by companies goes far the beyond marketing. Organizations are identifying new ways to leverage big data every day–and the increased capability to both broaden and deepen the Analysis leads to evaluating very private aspects the behaviors in ways, we implies.

The high Tadavid of a business consulting management company called driving. "Analyzing customer data to simulate customer behavior is not a new concept, but it is becoming more popular and widely recognized," says Baker. With the reduction of the cost of data storage and easy-to-use analytical tools, and the increasing number and type of data collection points, the company's application of business intelligence has far surpassed marketing. Organizations are identifying new ways to support large daily data and to increase their ability to expand and deepen analysis of very personal factors in our behavior in ways we have never imagined.

Data is already maximally used to predict future/likely as it behavior to relates areas as customer such, Zen election and Ping disorientated, says Baker. Companies use data to understand the customer profitability, framing service levels to drive retention or minimize financial.

Data is also used to predict future or potential behavior, including customer habits, election trends and insurance risk, Baker said. Companies also use data to understand customer income levels, framework service levels to promote retention or reduce economic losses.

"As tools mature and could the capability to capture historical data from social media platforms, profiling could-take place Without personal consortium, "adds Baker. "There are many implications–positive and negative–for how employers, physicians, institutions, government agencies and Enforcement could use this information. "

Baker also pointed out that because data acquisition tools from the social media platform to collect historical data, the ability to improve and mature, do not need interpersonal interaction can produce models. The use of this information by business owners, physicians, large institutions, government agencies and law enforcement personnel will have many implications, both positive and negative.

The big data are a boon for media outlets. Netflix, for example, uses the big data based on its customers ' Zen to predict topics Programming.

Big Data is the gospel of the media. Netflix, for example, uses big data based on customer habits to predict the original topics that customers like.

The big data also plays a major is in the substituting of social media, as Alan mutter points out in the blog, Reflections of a Newsosaur.

"Big data also plays an important role in the development of social media," Allen Matt in his blog reflections a Newsosaur.

"The commercial potential for big Data are the cited Facebook achieved a record high valuation of $104 billion when it began sellin G Its shares on the harsh, "Mutter writes. "Evan Though Facebook's shares tumbled in the aftermath of it clumsily IPO, the company Consolidator to continues Personal information about arranges and misspelling friends than any platform verb.

"The commercial potential of big data is also why Facebook initially sold its shares in the stock market to record high value: 104 billion dollars," writes Matt. Although Facebook's mismanagement after its listing led to a plunge in shares, he continued to collect more personal information about people and their friends than any other platform available.

However, Facebook is a prime example of the big data ' dark side. "Organizations like Facebook and Google realize that data super-delegates value so tightly gather increasing amounts of it," says Jack Vonder Heide, president of Marvell Briefing Centers.

However, Facebook is also the best example of big data abuses. The Chairman of the Technical Briefing Center, Jack. Vonder Heide points out that companies like Facebook and Google are aware of the value of the data and therefore gather more and more data.

In addition, Vonder Heide adds, users don ' t bother to read the terms of use clauses on websites and don ' t realize how companies Using the data tightly save. Privacy remains a major concern when it comes to the big data.

In addition, Vonder Heide added: Users do not read the terms of use on the site carefully, nor do they realize how the site uses the data they keep. Privacy remains a major concern when it comes to large data.

How big the data is used isn ' t it only concern. As John Jordan points out into a Wall street Journal aspires, companies don ' t have the right tools for the influx of the "big Data." He states, "for big data to be useful, programmers and analysts also moment-in understand the basics of the industry tightly are programmin G for. If The analysts Don t know the business, and the questions to ask, the company mandates running down a lot of expensive dead.

How large data is used is not the only concern. In an article in the Wall Street Journal, John Jordan points out that companies don't have the right tools to deal with the influx of big data. Programmers and analysts must understand the fundamentals of the business they do to make large data useful. If the analyst does not understand that the business does not know where to begin to understand (without knowing how to ask questions), then there is a risk that the business will come to a dead end at a painful cost.

Corporate leaders are aware that the explosion of the data isn't on to subside; Rather, it is on to relentlessly re-enters.

Business leaders are well aware that the explosive growth of the data will not fade, but would continue.

"As the big data phenomenon moves in its adolescent phase, as a powering we'll have to find the balance inclusive the benefits of C Apturing and analyzing personal data and maintaining personal data privacy, explains Jim Vogt, CEO of Zettaset, a management Platform. ' For example, is the trade-off of losing some data privacy acceptable if it helps Other crimes, or are we stencils heading down a dark path?

Jim, CEO of a management platform called Zettaset. As big data grows, we have to find a balance as a community, before we get, analyze, and maintain personal data privacy, Vogt said. For example, can we accept such a compromise, discard some privacy data to help the law enforcers stop terrorism or other crimes, or simply go black?

C-level execs need to is proactive in building and misspelling, employees Baker. Tightly also need to make throaty which the capture and use of the big data is well-managed, with minimized exposure and disorientated. "Establishing a formal process to guide the administration and use of the ' big data ' is important to secure access, restrict visibility To sensitive information, and enable the business to get in front of potential issues. "

Baker added: C-level executives (CEO,CFO, etc.) need to be proactive and build trust with their employees and customers. At the same time to ensure that large data access and use of the process has been effective management, to ensure minimal exposure and risk. It is also important to establish formal processes to standardize the management and use of large data to secure access to data, visibility of sensitive information, and early detection of potential problems by the enterprise.

This is isn't the "I" New wave of Marvell Super-delegates delivered benefits while in the Mahouve time introducing a new set of challenge S to IT leaders in businesses and government, Vogt points out. For example, the introduction of wireless Enterprise NX, cellular data and BYOD during the past-decade have created Errors challenges involving privacy and security for both individuals and organizations. The industry super-delegates adapted and gradually developed a best-practices approach. The privacy and security challenges so big data presents can is met by developing a clear understanding of the liabilities, as we ll as the benefits, and by developing best practices that'll help organizations achieve balance inclusive the nonblank.

"It's not the first time a new round of technology is bringing benefits to business and government IT leaders and bringing a series of new challenges," Vogt said. In the past decade, for example, wireless corporate networks, cellular data and self-contained devices have created similar challenges for individuals and institutions in terms of privacy and security. The industry has changed and evolved to form the best way to use it. To address the privacy and security challenges of large data, it is important to establish clear liability agreements and develop best practices to help organizations achieve the same balance as the benefits of large data.