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Improvement of Productivity Using Data Driven Construction Management
ᅰኽપਗܔி၍ଣÑ͛ପɢʺ
作者:陳建勇 | Author: Harry Chan Kin Yung
In Tang Report 2001: “the construction industry is yet to harness the full 在2001年的Tang報告指出建造業在建造管理, 物
potential of IT to enhance efficiency in construction management, logistics 流規劃和資訊分享方面，還有很大的改善空間来
planning and information sharing” is stated. Unfortunately today at 2015 用資訊科技去增進效率，可惜在2015年，14年後
the statement is still true. In other industries during the same period, 的今天以上的情況仍然存在。但是在同一期間其
including agriculture, have been taking advantage of the advancement 他行業，包括農業都積極利用資訊科技，互聯網
in IT, internet and mobile technology to improve efficiency and thus 和移動科技的改進來改善效率和提升生產力。新
productivity. New front has been created, e.g. Uber has become the 的邊界亦同時間被創造，例如Uber只用了幾年時
world’s largest car hiring company in just a few years but it owns not a 間就成為全世界最大的租車公司而同時它一架
single hire car. However, if one walks into a construction site office today, 出租車都沒有。然而當我們走進今天的工地辦公
he or she will find the computer software used are pretty much the same 室我們會發現他們用的電腦軟件還是和十幾年
as those used in 2001 and before. MS Excel still dominates. 前的差不多主要用的還是MS Excel試算表。
The construction industry is an information-intensive industry and the 建造業是一個資訊密集的行業，而且現在項目越
projects are getting bigger and more complex. The volume of data being 來越大和越來越複雜，項目產生的數據以幾何級
generated, gathered, and stored increases exponentially. The data 數上升，而數據的複雜程度比其他行業不忙多
complexity in construction projects is no less complex that those of other 讓，海量的數據令到很多項目的資料管理者疲於
industries’. The tsunami of data has overwhelmed the data management 奔命，一些基本的報告要求例如要快，一致性和
of many projects to the extent that some basic requirements such as 準確的成本報告都變的遙不可及，工地上的存貨
fast, consistent and accurate cost reports has become a luxury and site 記錄永遠更像一個謎。這是因為建造管理流程基
inventory is a myth. It is because the construction management process 本上還是人工化，數據主要靠人工方式處理，(試
is still by and large a manual process and processes data manually. 算表在今天的標準下已經不能算是一個資訊科
(MS Excel spreadsheets is not an IT solution in today’s standard.) The 技工具) 在這種情況下管理層不能得到又快又準
management cannot access to fast and accurate reports and not enough 確的報告，對數據也沒有作出詳盡的分析， 管理
analysis is done to allow the management to make informed decisions. As 層自然不能作出科學化的決定。這樣不只生產力
a result, not only productivity suffers, the project outcome is also affected. 受到損害項目結果也受到影響。
Data processing in construction management can be divided into 5 stages 建造管理下的數據處理可以分為以下五個階段:
as the following diagram shows.
預計 / Forecast
分析 / Analysis
報告 / Reporting
數據管理 / Data Management
數據紀錄 / Data Recording
Stage 1: data is created and recorded in different formats 階段一： 產生的數據用不同的方式被紀錄下來
Stage 2: organizing data and stored in a way to facilitate future retrieval 階段二： 數據的組織和儲存, 同時確定數據的真
and ensuring data integrity 確性以便將來查取，
Stage 3: Produce different kinds of reports to inform the management 階段三： 生成各種報告,通知項目管理者關於項
about the status of different aspects of a project. 目各方面的情況
Stage 4: Slice and dice the data to identify trends, discover useful 階段四： 對數據作出分析,找出趨勢,發掘有用的
information to support decision making 資料去幫助管理層作出決定
Stage 5: Based on the reports and analysis, try to predict the project 階段五： 基於報告分析對項目的結果作出預
outcome with some assumptions made so that necessary 測，當中可能要作一些假設，這樣就可
action can be taken accordingly 以作出一些相應的措施去應對。
In this data driven framework, to provide good information to the later 要運行這個數據推動模式，在初步階段時處理數
stages, the data in earlier stages must be processed in an efficient and 據一定要高效率和快， 儲存方式要易於提取和
timely manner and stored in a way that is easy for future retrieval. For 找尋， 在現今又大又複雜的項目中， 只有用資
today’s ever bigger and complex projects, this is only possible if proper IT 訊科技系統處理數據才能達致以上的要求， 而
solutions is used in the process. And this is the reason why many projects 正是這個原因，很多用人工化来做數據處理的項
with predominantly manual process struggle to get the report right, let 目連一些報告的準確性都不能保證更不用說產
alone producing useful analysis and forecast. 出有用的分析和預測了。
36 / CIC NEWSLETTER ISSUE NO. 23 / 建業傳訊 第二十三期
分享專欄
Improvement of Productivity Using Data Driven Construction Management
ᅰኽપਗܔி၍ଣÑ͛ପɢʺ
作者:陳建勇 | Author: Harry Chan Kin Yung
In Tang Report 2001: “the construction industry is yet to harness the full 在2001年的Tang報告指出建造業在建造管理, 物
potential of IT to enhance efficiency in construction management, logistics 流規劃和資訊分享方面，還有很大的改善空間来
planning and information sharing” is stated. Unfortunately today at 2015 用資訊科技去增進效率，可惜在2015年，14年後
the statement is still true. In other industries during the same period, 的今天以上的情況仍然存在。但是在同一期間其
including agriculture, have been taking advantage of the advancement 他行業，包括農業都積極利用資訊科技，互聯網
in IT, internet and mobile technology to improve efficiency and thus 和移動科技的改進來改善效率和提升生產力。新
productivity. New front has been created, e.g. Uber has become the 的邊界亦同時間被創造，例如Uber只用了幾年時
world’s largest car hiring company in just a few years but it owns not a 間就成為全世界最大的租車公司而同時它一架
single hire car. However, if one walks into a construction site office today, 出租車都沒有。然而當我們走進今天的工地辦公
he or she will find the computer software used are pretty much the same 室我們會發現他們用的電腦軟件還是和十幾年
as those used in 2001 and before. MS Excel still dominates. 前的差不多主要用的還是MS Excel試算表。
The construction industry is an information-intensive industry and the 建造業是一個資訊密集的行業，而且現在項目越
projects are getting bigger and more complex. The volume of data being 來越大和越來越複雜，項目產生的數據以幾何級
generated, gathered, and stored increases exponentially. The data 數上升，而數據的複雜程度比其他行業不忙多
complexity in construction projects is no less complex that those of other 讓，海量的數據令到很多項目的資料管理者疲於
industries’. The tsunami of data has overwhelmed the data management 奔命，一些基本的報告要求例如要快，一致性和
of many projects to the extent that some basic requirements such as 準確的成本報告都變的遙不可及，工地上的存貨
fast, consistent and accurate cost reports has become a luxury and site 記錄永遠更像一個謎。這是因為建造管理流程基
inventory is a myth. It is because the construction management process 本上還是人工化，數據主要靠人工方式處理，(試
is still by and large a manual process and processes data manually. 算表在今天的標準下已經不能算是一個資訊科
(MS Excel spreadsheets is not an IT solution in today’s standard.) The 技工具) 在這種情況下管理層不能得到又快又準
management cannot access to fast and accurate reports and not enough 確的報告，對數據也沒有作出詳盡的分析， 管理
analysis is done to allow the management to make informed decisions. As 層自然不能作出科學化的決定。這樣不只生產力
a result, not only productivity suffers, the project outcome is also affected. 受到損害項目結果也受到影響。
Data processing in construction management can be divided into 5 stages 建造管理下的數據處理可以分為以下五個階段:
as the following diagram shows.
預計 / Forecast
分析 / Analysis
報告 / Reporting
數據管理 / Data Management
數據紀錄 / Data Recording
Stage 1: data is created and recorded in different formats 階段一： 產生的數據用不同的方式被紀錄下來
Stage 2: organizing data and stored in a way to facilitate future retrieval 階段二： 數據的組織和儲存, 同時確定數據的真
and ensuring data integrity 確性以便將來查取，
Stage 3: Produce different kinds of reports to inform the management 階段三： 生成各種報告,通知項目管理者關於項
about the status of different aspects of a project. 目各方面的情況
Stage 4: Slice and dice the data to identify trends, discover useful 階段四： 對數據作出分析,找出趨勢,發掘有用的
information to support decision making 資料去幫助管理層作出決定
Stage 5: Based on the reports and analysis, try to predict the project 階段五： 基於報告分析對項目的結果作出預
outcome with some assumptions made so that necessary 測，當中可能要作一些假設，這樣就可
action can be taken accordingly 以作出一些相應的措施去應對。
In this data driven framework, to provide good information to the later 要運行這個數據推動模式，在初步階段時處理數
stages, the data in earlier stages must be processed in an efficient and 據一定要高效率和快， 儲存方式要易於提取和
timely manner and stored in a way that is easy for future retrieval. For 找尋， 在現今又大又複雜的項目中， 只有用資
today’s ever bigger and complex projects, this is only possible if proper IT 訊科技系統處理數據才能達致以上的要求， 而
solutions is used in the process. And this is the reason why many projects 正是這個原因，很多用人工化来做數據處理的項
with predominantly manual process struggle to get the report right, let 目連一些報告的準確性都不能保證更不用說產
alone producing useful analysis and forecast. 出有用的分析和預測了。
36 / CIC NEWSLETTER ISSUE NO. 23 / 建業傳訊 第二十三期
