Data Warehousing and Mobile Computing
In the contemporary competitive environment, organizations are being forced to collect, store and analyze a large volume of data to make an analytical decision. However, business executives are faced with the time constraints when analyzing data, thus, data warehousing over the mobile computing have come into existing to assist in analyzing data quickly anywhere to assist in enhancing an effective timely decision. The study presents the literature reviews on the application of the data warehousing over the mobile computing. The study reveals that as firms are increasingly doing their businesses online, thus, storing and accessing data over the mobile devices are becoming a necessity. With the growth of the powerful laptop and internet, it is now possible to store a large volume of data in the mobile devices and cloud computing.
Introduction
Data warehousing is defined as the database system that organizations use for reporting and analysis. Typically, DW (data warehousing) has been identified as the core components of business intelligence by storing both the current and historical data to create an analytical report. With the rapid development of information technology, the application of mobile devices has become a norm. Moreover, the emergence trends in the use of mobile devices have made a large number of developers integrate data warehousing tool in the
(Bakar, & Ta's, (2012). Towards the middle of the 2000s, the data warehousing is only used to support business strategic decisions. However, in the contemporary competitive business environment, organizations are being forced to make quick and quality decisions to improve financial performances, enhance administration, increase profitability, and assist human resources. Faced with time constraints, businesses are being forced to collect and analyze data quickly, thus, the data warehousing tools are increasing being integrated into the mobile devices to enhance faster decision.
The objective of this paper is to conduct a literature review on data warehousing and mobile computing.
Literature Review
Golfarelli, & Rizzi, (2009) argued that an increase in the demand of data warehousing in the business environment has necessitated a move to data warehousing model into the mobile devices. However, the approach to achieve the mobile data warehouse objective is to use the DM (dimension modeling) to enhance a consistency in the design environment. According to Bakar, & Ta's, (2012), the dimension modeling has been proved successful for the development of the mobile data warehousing since 1999. However, mobile devices such as iPhone, Tablet, and Palm Top have limited computing power (memory, computer power, display screen and weight). To solve this problem, Gaspar et al. (2011) propose a warehouse application over the "Microsoft Dynamics Navision 5.0 Enterprise Resource Planning system." (Gaspar et al. 2011 p 1).
Golfarelli, & Rizzi, (2009) contribute to the argument by pointing out that data warehousing technology needs to be…
Data Warehouse How Businesses use Data Warehousing Introduction Data warehousing is a technological way for businesses to align data with performance benchmarks so that organizations can obtain a long-range view of aggregated data and engage in complex analytics. These analytics typically give the organization a better understanding of what its stockpile of information means, what data trends over time reveal, and what the data indicates is in store for the business in the
Data Warehousing and Data Mining Executive Overview Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline
Data Warehousing Data Warehouse technology has changed the way that global organizations conduct business. Many have found it impossible to create a business strategy without a data warehouse. The purpose of this discussion is to research and explain the importance of data warehouse management. We will begin by defining data warehouse and describing the business uses for the technology. Our discussion will then focus of data warehouse management. We will examine the
Additionally, there are concerns about selling such technology to third parties, and as a result more companies are promising to keep such information confidential. Oracle and MSQL are two of the most notable vendors of data warehouse technology, and have vastly improved the size and also the variety and 'scalability' of available data. Effective data warehouses have data mining models that enable "clustering, associations, classification, and prediction" of available
Data Warehousing and Mobile Computing Walmart is the largest company in the world with the estimated one million customers every hour and more than 100 million customers every week. A large number of customer and gigantic supply chain make the company start using the RFID system to track moving items and manage the supply chains. However, the RFID produces gigantic datasets, which may be challenging to store in the relational database.
All of these factors combined to form the catalyst of the data warehouse project being made a higher priority than the many other competing projects within Wal-mart at the time. At a cost of approximately $3M in software and $9M in services and training, Wal-Mart partnered with Hewlett-Packard and became one of the first companies to adopt the HP Neoview data warehousing system. One of the key reasons for Wal-Mart
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