Mobile + Big Data + Cloud = M2M

Have you ever thought of overnight change in your calendar automatically updates your alarm clock? Or lights and temperature automatically power down when you leave home?

This utopia is simply a connected world of Big Data and devices. The convergence of Mobile, Big Data and Cloud gives rise to the machine to machine (M2M ) technology. With this awesome infographics, you will now understand how M2M improve city dwellers’ lives.  Again, it’s all about Big Data, in which mobile devices play an essential role.

Source: http://www.zdnet.com/article/mobile-big-data-cloud-m2m/

The Four V’s of Big Data

The Four V’s of Big Data

Source: IBM Big Data & Analytics Hub http://www.ibmbigdatahub.com/infographic/four-vs-big-data

How Big Data Helps Chains Pick Store Locations

How Big Data Helps Chains Like Starbucks Pick Store Locations — An (Unsung) Key To Retail Success

Amid buzzwords that have hijacked discussions on the retail industry — “omnichannel,” “webrooming” — it’s easy to forget a stubborn truism of retail success: Location, location, location.

Put aside, for now, predictions of how Amazon and e-commerce will engulf business at brick-and-mortar stores: The reality is that 94% of retail sales are still rung up in physical stores, and where merchants place those stores plays an outsized role in determining whether their chains fly or flop.

旅遊大數據秘笈

Nowadays most of us like to check room availability and price using mobile apps. These apps (booking.com, agoda.com etc) claim to have the best rates guaranteed comparing different sources. But I don’t believe that. In Kathmandu, booking good hotels is not easy especially when you check the availability for a long weekend, most apps will display the full status.

Big Data is about 3Vs, if u apply this rule, try to search for their phone number on google, call them early in the morning when the manager has just come on duty, you can ask if there’s a room that has been cancelled by hotel VIP customers, and ask for a 20% discount. It always works. That’s real big data that computers are still incapable of performing smarter than you.

與 RADICA CEO Francis 談 Big Data 以後…／石先生（著名科技旅遊博客）

時間好早，石先生撰寫這篇文章的時間是早上五時。如你所料，我不是早起，而是還沒有睡覺。

一般來説，這個時間點的腦袋應該沒什麼空間思考能力，但最近寫了這麼多的旅遊分享，換回來科技的角度跟大家談談一些對 BIG DATA 的看法又有很大的動力。（感謝下午喝的兩杯咖啡）

「RADICA SYSTEMS LIMITED」，中文名字是：雷克系統，一家聽名字就覺得沉悶的公司。沒錯，RADICA 處理的東西都是數字，而且只有「1」與「0」，其他都東西都是由這兩個數字變化組合而成，要沉悶的話其實可以很沉悶，但這數字卻又能變化出不同的東西。

從一個簡單的角度説，RADICA 的業務包括最常見的 EDM，也有更複雜的 Big Data 數據服務。説 EDM 很多人都可以是專家，但如果你要説到 Big Data 加 EDM 的話，你再強，也要聽聽 RADICA 的分享，因為它們手握的客戶包括：LVMH，香港貿易發展局（HKTDC），電訊盈科（HKT），攜程（Ctrip）及李寧等等等。

Start up with big data

Measuring the health of a start-up through the lens of online marketing

Measuring the success of a start-up can be difficult, especially if the start-up is in a growth mode and customer acquisition is being valued more than revenues. However, if we look through-the-lens of online presence and online marketing, we can start to understand the impact that a start-up has in terms of recognition and traction.

We took the leading contestants from The Next Web’s EU Tech 5 Award and analyzed them with SimilarWeb’s data to build a guide for measuring the success of a start-up.

We analyzed:

1. Overall online footprint
2. Online audience growth
3. Mastery of Social Media
4. Media coverage

Read more

Source: The Next Web http://tnw.to/d4hva

小心！大數據正在消滅左腦型人才

小心！大數據正在消滅左腦型人才

自從工業革命後，大量傳統人手工作被機械所取代。工匠的角色被機械取代，固然令不少人失去飯碗，亦令不少原本不具有工藝技術的人，以「操作機械」的形式投身生產行業，變相令「手藝」、「經驗」的價值下降。Big Data 作為數據化革命的代表技術，被視為第三次工業革命，而這一波革命淘汰的更可能包括你和我。

閱讀更多

原文載於：Unwire.pro http://unwire.pro/2015/05/09/big-data-is-killing-who/

How Facebook uses big data

WHY SCIENTISTS ARE UPSET ABOUT THE FACEBOOK FILTER BUBBLE STUDY
BY DAVID LUMB

Yesterday, the journal Science released a study by Facebook employees examining what content you do (and don’t) see on Facebook’s news feed. Its conclusion, at first glance, was that the Facebook news feed algorithm does not keep users from seeing opinions they disagree with (a reference to the so-called filter bubble of social media, in which you assume most people agree with you because you are not exposed to other viewpoints). But after prominent media outlets covered the study’s findings, data scientists began to speak up. Actually, they argued, the study has major flaws, and its conclusion suggests that the news feed algorithm does hide news stories it thinks you will disagree with.

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Source: Fast Company http://www.fastcompany.com/3046111/fast-feed/why-scientists-are-upset-over-the-facebook-filter-bubble-study