DATA WAREHOUSING IN THE CONSTRUCTION INDUSTRY: ORGANIZING AND PROCESSING DATA FOR DECISION-MAKING Data warehousing in construction

نویسنده

  • I. AHMAD
چکیده

Construction organizations are critically dependent on data. But data must be available in suitable forms for use. Timely access to useful and meaningful information can enable construction companies gain competitive edge, increase client satisfaction, expand market share and enhance profitability. Vast amounts of construction operational data are scattered across multiple, dispersed and fragmented departments, units or project sites. In this paper, we present data warehousing as an emerging database management technology that can provide the resource for decision-making. We point out the difference between an operational database used for transaction processing; and a data warehouse intended to be used for analytic processing in management decision-making in the context of construction organizations.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Catch data warehouse: support for community health care decision-making

The measurement and assessment of health status in communities throughout the world is a massive information technology challenge. Comprehensive Assessment for Tracking Community Health (CATCH) provides systematic methods for communitylevel assessment that is invaluable for resource allocation and health care policy formulation. CATCH is based on health status indicators from multiple data sour...

متن کامل

Fuzzy-Rule Based Adaptive Data Warehouse: An Extension of Data Warehouse as Knowledge Warehouse

Data Warehouses (DWs) are aimed to empower the knowledge workers with information and knowledge which helps them in decision making. Technically, the DW is a large reservoir of integrated data that does not provide the intelligence or the knowledge demanded by users. The burden of data analysis and extraction of information and knowledge from integrated data still lies upon the analyst’s should...

متن کامل

Data Mining and Business Intelligence Dashboards

Today, the most successful companies are those that can respond quickly and flexibly to market changes and opportunities. A detailed understanding and knowledge is required to analyze the business environment at different levels. This can be achieved by implementing value added information throughout the organization. There has been an increased demand in the development of IT that performs dat...

متن کامل

Quickstep: A Data Platform Based on the Scaling-Up Approach

Modern servers pack enough storage and computing power that just a decade ago was spread across a modestsized cluster. This paper presents a prototype system, called Quickstep, to exploit the large amount of parallelism that is packed inside such modern servers. Quickstep builds on a vast body of previous work on methods for organizing data, optimizing, scheduling and executing queries, and bri...

متن کامل

Understanding Data Mining and applying it to Command, Control, Communications and Intelligence Environments

This paper describes data mining and the various ways in which it can be applied to command, control, conimunications and intelligence. It begins with an overview of data mining and the various steps in the data-mining process. Examples of data mining outcomes are cited and an example of a text-mining scenario for intelligence applications is described. Problems associated with data mining are ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003