Three attitudes under big data trading You Find Ltd.

Nowadays, whether it is your mobile phone or computer, you may have all kinds of informative data. Gathering sand into a tower, these huge amounts of data can become big data, providing merchants with accurate development direction and obtaining greater profits. Because of this, big data has become one of the most valuable commodities in …

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Three attitudes under big data trading

Three attitudes under big data trading

Nowadays, whether it is your mobile phone or computer, you may have all kinds of informative data. Gathering sand into a tower, these huge amounts of data can become big data, providing merchants with accurate development direction and obtaining greater profits.

Because of this, big data has become one of the most valuable commodities in the market. However, different big data owners in the market have different attitudes towards trading. This can be divided into three categories: trading insulators, market participants, and value dismissors.

A transaction insulator is a data owner who feels that his information is unique and important, and if it is leaked out of the market, he or she may lose its leading position, so he is reluctant to make relevant transactions. In the case of Mastercard, for example, the company chose to analyze the data itself and then develop other business opportunities based on the results, as the company already serves a number of banks and merchants, with more than 60 billion transaction records in hand to infer consumer behavior.

As for market participants, it is the holders who know that their data has market value and are willing to sell it on the right terms and at the right market price, such as ITA Software, the world’s fourth-largest airline ticket buying website. ITA believes that the company should focus on the business of selling air tickets and not for other purposes, so it is willing to sell the big data in its hands to other companies.

The last type is the value neglecter, who often only know that the data in their hands has a certain value, but ignore their potential value, so they don’t mind handing over the information in exchange for other benefits. Taking credit cards as an example, many small and medium-sized banks in the United States feel that the cost of dealing with credit card fraud is very high, so they transfer this business and related information to large financial institutions for processing, and as a result, a well-capitalized American bank such as MBNA can be a single company that covers most of the market business.

Having said that, big data in Hong Kong is still a huge market that needs to be developed by the private sector to enhance business growth. Public bodies can be used to obtain information on crime. If the development of big data in Hong Kong is to be promoted, the government needs to devote more resources to establishing a robust and fair data trading mechanism to protect traders and encourage more market participants to participate in it.

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KOL(關鍵意見領袖)

在互聯網尚未普及的時代,資訊的傳遞非常「單向」,我們接觸的資訊來源主要是大眾媒體──消息經由記者接收、由記者進行消化、整理、報道,再傳達至你與我。然而,在當今的世代,資訊不單不是單向,有是「多面向」,有如蜘蛛網,你我他可以獨立連結,也可以以群組的方式地集體連繫。從群眾的角度而言,當中尤其由 KOL(Key Opinion Leader,關鍵意見領袖)扮演著舉足輕重的角色,KOL 對在社交媒體所發表的評價,不單是吸引無數跟隨者的眼球,更影響很多人的消費決定。不難明白的是,很多品牌管理者、廣告商,現在都力求找到優秀的 KOL 以達致廣告的效果。 那麼,一位優秀的 KOL 該具備什麼條件?知名度高就一定有影響力嗎?其實不然。知名度和影響力,兩者都是重要的指標,然而,兩者未必有正比的關係。 一個知名度高的 KOL,很可能有大量的支持者(即粉絲,Fans)或者跟隨者(Followers),但未必代表這位 KOL 可以影響他們的消費決定;反之,一個具有強大影響力的 KOL,可能他算不上是街知巷聞,但他的一小撮的支持者對他可是亦步亦趨。 揀選 KOL 的質與量指標 再深入一些去想,行銷人員在評核如何選擇合適的 KOL...

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