1、 XChain 派代表參加由新加坡國立大學組織的“工業 4.0 下的大數據分析 , 區塊鏈與新零售發展項目”
XChain sent representatives to participate in the \”Big Data Analysis, Blockchain and New Retail Development Project under Industry 4.0\” organized by the National University of Singapore
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本週新加坡知名學府新加坡國立大學公佈將在今年下半年舉辦第二次 “工業 4.0 下的 AI 大數據分析 , 區塊鏈與新零售發展項目”
The National University of Singapore announced this week that it will host the second \”AI Big Data Analysis, Blockchain and New Retail Development Projects under Industry 4.0\” in the second half of this year
新加坡國立大學是新加坡的第一所高等學府 , 也是亞洲乃至世界的著名學府 . 該項目曾在 2019 年度舉辦過一次 , 是由新加坡國立大學與新加坡知識產權局直屬學院專家教授 , 攜手設計結合學校課程 , 企業參訪與政府實踐經驗的體驗式課程 .XChain 總部將派研發和運營崗位的 2 名相關人員參加此次學習 , 給員工學習機會的同時全面提升團隊的技術能力和運營能力
The National University of Singapore is the first higher education institution in Singapore and a famous institution in Asia and the world.The project was once held in 2019. It was jointly taught by experts from the National University of Singapore and the Institute directly under the Intellectual Property Office of Singapore,to design an experiential course that combines school curricula,business visits and government practical experience.XChain headquarters will send 2 relevant personnel in R & D and operation positions to participate in this project,giving employees a learning opportunity while comprehensively improving the team\’s technical and operational capabilities
工業大數據是互聯網 , 大數據和工業產業相結合的產物 . 對企業而言 , 瞭解工業大數據生成的背景 , 總結工業企業大數據的分類和特徵 , 從數據流的角度看產業價值創造 , 促進產業價值創造 , 具有很強的現實意義 , 這也是 XChain 決定派團隊成員參加此類項目的原因之一
Industrial big data is a combination of the Internet,big data and industrial industries.For enterprises, it is of great practical significance to understand the background of industrial big data generation, summarize the classification and characteristics of industrial enterprise big data,and view industrial value creation from the perspective of data flow,and promote industrial value creation.This is one of the reasons why XChain decided to send team members to participate in such projects
無論是工業自動化 , 工業智能（Industrial 4.0）還是工業互聯網的概念 , 它們都是基於工業數據的 . 然後從商業運作的角度來看這些工業數據 , 它可以根據數據的目的分爲三類 : 第一是經營數據 , 第二類是生產數據 , 第三類是環境數據 . 這些數據對工業生產過程具有約束力 . 從目前的數據使用情況來看 , 業務數據使用率最高 , 生產數據與環境數據的差距較大 . 從未來的數據量來看 , 生產線數據在工業企業數據中所佔的比重越來越大 , 環境數據也越來越多樣化
Whether it is industrial automation,industrial intelligence (Industrial 4.0) or industrial internet concepts,they are all based on industrial data.Then look at these industrial data from the perspective of business operations.It can be pided into three categories according to the purpose of the data: the first is business data,the second is production data,and the third is environmental data.These data are binding on the industrial production process.Judging from the current data usage,business data has the highest utilization rate,and the gap between production data and environmental data is relatively large.From the perspective of the amount of data in the future,production line data accounts for an increasing proportion of industrial enterprise data,and environmental data is becoming more and more perse
然而目前數據孤島幾乎是所有企業都面臨的困境 . 從全行業看 , 發展工業互聯網 , 實現從單一企業內的局部優化 , 到整個產業鏈的全局優化的跨越 , 必然要實現整個供應鏈上跨企業的數據流通 , 這就進一步面臨着安全合規 , 商業模式和技術標準等方面的更大挑戰 .XChain 一直致力於打造安全數據交易平臺 , 促進數據的安全交易 , 根據今年在實際業務中調查顯示 , 超過半數的企業表示需要使用外部數據或對外提供數據 , 僅有 2.7% 的企業覺得不會涉及到數據合作 , 但數據流通由於涉及確權 , 安全合規等問題 , 風險和阻力都很大
However,the current data island is a dilemma faced by almost all enterprises.From the perspective of the entire industry,the development of the industrial internet to achieve a leap from local optimization within a single enterprise to global optimization of the entire industrial chain will inevitably achieve the flow of data across the entire supply chain,which further faces security compliance, greater challenges in business models and technical standards.XChain has always been committed to building a secure data trading platform and promoting the safe transaction of data.According to the survey in actual business this year,more than half of the companies indicated that they need to use external data or provide data externally.Only 2.7% of companies feel that they will not be involved in data cooperation,but data circulation involves great risks and resistance due to issues such as power confirmation and security compliance
總之 , 工業大數據是企業生產經營的重大變革 . 對於尚未完成工業化和信息化的工業企業來說 , 數據時代又來了 , 挑戰也很大 . 希望通過這種形式的學習 , 能夠讓更多的企業發生思維的轉變 , 改變以往以要素競爭爲主的產業生產方式 , 進入以數據和創新競爭爲主的新的生產時代
In short,industrial big data is a major change in the production and operation of enterprises.For the industrial enterprises that have not yet completed industrialization and informatization,the data era is coming again,and the challenges are also great.It is hoped that through this form of learning,more enterprises will be able to change their thinking,change the industrial production methods that used to be dominated by factor competition,and enter a new era of production that is dominated by data and innovation competition
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2、澳大利亞商會向 XChain 介紹其新近加入的會員企業澳大利亞帕帕薩瓦斯集團 , 促進雙方在房地產大數據方面的合作
The Australian Chamber of Commerce introduced XChain to its newly joined member company,the Australian Papasawas Group,to promote cooperation in real estate big data
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本週澳大利亞商會新加入了一家會員企業 ——帕帕薩瓦斯集團 . 商會在進行內部會員業務對接的過程中 , 將 XChain 和該新進企業進行了相互介紹 , 旨在促進雙方在房地產大數據方面的合作
This week the Australian Chamber of Commerce has joined a new member company-the Papasawas Group.During the process of internal member business connection, the Chamber of Commerce introduced XChain and the newly-entered company to each other,aiming to promote cooperation in real estate big data between the two parties
澳大利亞帕帕薩瓦斯集團是一家着力於房地產開發 , 教育及餐飲服務業的家族企業 . 公司總部位於澳大利亞墨爾本 , 業務範圍包括在墨爾本市區房產投資 , 北墨爾本大型工廠建設以及其他各種產業投資項目 . 近日 , 集團與哈利法克斯電梯合作提供住宅及商用電梯的銷售 , 安裝及售後服務
Located in Melbourne,Australia,the Group has an asset portfolio that includes a number of inner city property investments,a large industrial development in the north of Melbourne,and various other property interests in the state.More recently the group has commenced operations with Halifax Elevators,offering sales,installation and service of residential and commercial elevators
在過去十年中 , 集團在國際職業教育及英文教育行業保持領先地位 , 旗下的朗斯代爾教育公司爲澳大利亞 2 個州超過 2000 名學生提供了教育服務 . 集團也爲其餐飲服務項目感到自豪 , 旗下有數家餐廳喝酒吧 , 在墨爾本已經運營了 40 年
In the last decade,the Group has consolidated its position as a leader in the international vocational education and English language education sector,with Lonsdale Education delivering education to over 2,000 students across two states.The Group is also proud of its hospitality interests,with a number of restaurants and bars throughout Melbourne being operated and run over the last 40 years
此次雙方合作的契機主要在房地產業務領域 . 大數據分析作爲一種比較科學的分析方法 , 應用越來越普遍 .XChain 認爲大數據時代的到來 , 必將爲一些掌握大數據資源並能充分挖掘其價值的產業帶來更爲廣闊的發展空間 . 這種情況下 , 如何應用大數據做好開發運營是房地產企業提高自身競爭力的關鍵
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The opportunity for this cooperation is mainly in the real estate business.As a more scientific analysis method,big data analysis has become more and more popular.XChain believes that the arrival of the era of big data will surely bring a broader development space to industries that have mastered big data resources and can fully tap their value.In this case,how to use big data to do a good job in development and operation is the key for real estate companies to improve their competitiveness
首先在房地產企業的市場定位方面 . 成功的品牌離不開精準的市場定位 , 而基於大數據的市場數據分析和調研是企業進行品牌定位的第一步 . 房地產行業企業需要架構大數據戰略 , 拓寬房地產行業調研數據的廣度和深度 , 從大數據中瞭解房地產行業的市場構成 , 細分市場特徵 , 消費者需求和競爭者狀況等衆多因素 , 在科學系統的信息數據收集 , 管理 , 分析的基礎上提出更好的解決問題的方案和建議
First,in terms of market positioning of real estate companies.Successful brands are inseparable from accurate market positioning,and market data analysis and research based on big data is the first step for companies to carry out brand positioning.Enterprises in the real estate industry need to construct a big data strategy,broaden the breadth and depth of real estate industry research data,and learn from the big data about the real estate industry\’s market composition,market segment characteristics, consumer demand and competitor status,and many other factors.On the basis of information data collection,management,and analysis,it proposes better solutions and suggestions for solving problems
在雙方探討的過程中 ,XChain 告訴對方負責人 , 區別於傳統的消費行爲樣本調查 , 大數據分析更具有準確性和全面性 , 能夠有效提高企業資金的運作效率 . 一般來說 , 經過多年營銷 , 房企手中都掌握着大量的購房者信息 , 在大數據時代 , 完全可以藉助信息分析 , 將商業管理從“經驗值”轉變爲“數據化”, 從而開發出新的投資盈利模式和空間 , 在越來越激烈的市場競爭中脫穎而出
In the process of discussion between the two parties,XChain believes unlike the traditional consumer behavior sample survey,big data analysis is more accurate and comprehensive,and can effectively improve the operating efficiency of corporate funds. Generally speaking,after years of marketing, housing companies have a lot of information about home buyers.In the era of big data,information analysis can be used to transform business management from \”experience value\” to \”data\”,so as to develop new investment profit model and space stand out in the increasingly fierce market competition
然而值得注意的是 , 大數據對於很多人來說是一種新的事物 , 所以房地產公司在採用大數據思維進行營銷的過程中一定不能忽視其存在的威脅與挑戰 : 大數據的出現 , 無疑會導致難以調和的隱私保護問題的出現 , 然而其所需要的大量數據的處理技術與能力是當前大部分房地產公司都不具備的 ; 與此同時 , 房地產公司自身具備的一部分特點也讓我們在發展大數據應用過程中面臨一些挑戰
However,it is worth noting that big data is a new thing for many people,so real estate companies must not ignore their existing threats and challenges in the process of marketing using big data.It will lead to privacy protection problems that are difficult to reconcile.However,the large amount of data processing technology and capabilities it requires are not currently available to most real estate companies;at the same time,some of the characteristics of real estate companies also make us face some challenges in the development of big data applications
帕帕薩瓦斯集團的負責人非常認同 XChain 提出的一系列觀點 . 同時雙方都非常感謝澳大利亞商會這個平臺帶給會員企業的商業機會
The head of the Papasawas Group agrees with a series of points raised by XChain.At the same time, both sides are very grateful to the Australian Chamber of Commerce’s effort to bring business opportunities to member companies
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3、本週技術部分更新 Technical updates of this week
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Golang 重寫用戶端代碼 , 完成文件壓縮分塊與解壓合併文件的開發調試
Golang rewrites the client code: completes the development and debugging of file compression and decompression and decompression and merged files
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SN 端 LIST 文件列表優化 , 緩存過往 list 結果 , 避免用戶端重試 , 緩存 mongo 遊標 , 優化翻頁功能
Optimize the LIST file list on the SN end,cache past list results,avoid user end retry, cache mongo cursor,optimize page turning function
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*備註說明： XChain 專指於 2016 年在新加坡成立的 XChain 基金會團隊**
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