Businesses around the world are faced with many challenges when attempting to compete and gain a competitive advantage over their competition. The members of the management team within these businesses need to make quick and accurate decisions which will often impact the company and all of its employees, possibly for years to come. One of the worst situations for one of these decision makers to find themselves in is when they know that all of the information they need is available; but they are unable to retrieve that information in an accurate and useful way. In no field is this truer than in the manufacturing industry, where one bad decision could cost the company millions of dollars, especially in regards to the contract proposals and bidding process. One tool which can aid in this decision making process when the required information is spread out across the company, is called data warehousing.
A Data Warehouse is a separate database that is specifically designed for aiding the decision making process. This new database can carry out this function by being subject-oriented, integrated, time-variant, and non-updateable. (Menninger, 1994) These four concepts are vitally important for a data warehouse to supply the decision making information that it is tasked to provide. In the example of the manufacturing company bidding or quoting on a contract, the Subjects would be Customers, Suppliers, Employees, and Parts. All the information found in the Data Warehouse would be oriented around these key subjects. The data, as mentioned earlier, would also be collected from many different sources and integrated together to form one set of valid information. The third element that would be important, centers on the element of t...
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Menninger, Dave. "And now, introducing the data warehouse...." Data Based Advisor Nov. 1994: 126+. Computer Database. Web. 30 Nov. 2011.
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Rosen, Cal. "'Schema wars' miss warehousing basics." Computing Canada 20 Apr. 1998: 34. Computer Database. Web. 30 Nov. 2011.
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White, Colin. "Why a data warehouse? A recent survey shows how some companies handle informational processing." Database Programming & Design Sept. 1993: 27+. Computer Database. Web. 30 Nov. 2011.
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Data warehouse developer is responsible for maintaining the practices of modeling, dimensional data, relational structures, and other reporting techniques. Candidates possessing an inner desire for long term employment opportunities in a team oriented fast paced wonderful environment. They need to be qualified with Information Systems, Computer Science and other related fields. It would be preferable to possess minimum of 7 years’ experience with warehouse design and analysis experience with complete knowledge about data modeling and warehouse methodologies. Job requirements for Albertsons Data warehouse developer jobs-
ETL is a three-step process which stands for Extract-Transform-Load. This process comprises of: extracting the desired data from a source, transforming the extracted data into a specific format, and loading the transformed data into a destination such as a data warehouse (Haag & Cummings, 2013). After the ETL process is performed, data-mining tools can be used to turn this data into useful information. For the first three questions, the database would need to capture each checkout price, how many items are purchased, the individual price of each item, and if the item is discounted or full MSRP. This specific data will likely originate from a customer oriented database that will then flow into the data warehouse for full ETL. For YTD profits, the database would need to capture all purchases, sales, profits, and expenses from the current year. Sport T’s company data will originate from an in-company database which focuses on business expenses and profits. In solving customer satisfaction, the KPIs to consider would be survey questions and answers from responding customers as well as customer opinion on what can be improved. For customer surveys, we will ask
The importance of a state of the art Management Information System cannot be overlooked. The system will not only allow management to better understand their department's contributions but also allow them to take the appropriate actions necessary to meet customer needs. The proposed system will ensure that Riordan Manufacturing, Inc. not only meets but consistently exceed its strategic and tactical goals within the global business community.
Smith, W., & Jewett, D. (2009). Tableau software and teradata database the visual approach to the active data warehouse. In Retrieved from http://www.tableausoftware.com/learn/whitepapers
In 1977, Larry Ellison, Bob Miner, and Ed Oates founded System Development Laboratories. After being inspired by a research paper written in 1970 by an IBM researcher titled “A Relational Model of Data for Large Shared Data Banks” they decided to build a new type of database called a relational database system. The original project on the relational database system was for the government (Central Intelligence Agency) and was dubbed ‘Oracle.’ They thought this would be appropriate because the meaning of Oracle is source of wisdom.
Hipschma, Ron. " The Problem -- Mountains of Data." How SETI @Home Works (1999). 29 January 2000 http://www.nitehawk.com/rasmit/.
Decision making refers to the process of finding and selecting options according to the priorities and values of the person making the decision. Since there are many choices involved, it is important to identify as many options as possible so as to pick the option that best fits a company’s target, goals, values and vision. Due to the integral role of decision making in company growth and financial progress, many firms such as Amazon.com and EBay are pumping in huge investments in business intelligence systems, which are made up of certain technological tools and technological applications that are created for the purpose of facilitating improved decision making process in business. In this paper, I take a critical look at Decision Support Systems and how they affect organizational Decision making.
Kasdorf, B. (2014). Welcome to the metadata millenium. Book Business, 17(1), 18-23. Retrieved from http://search.proquest.com/docview/1500945974?accountid=10043
[7] Elmasri & Navathe. Fundamentals of database systems, 4th edition. Addison-Wesley, Redwood City, CA. 2004.
A data warehouse comprised of disparate data sources enables the “single version of truth” through shared data repositories and standards and also provides access to the data that will expand frequency and depth of data analysis. Due to these reasons, data warehouse is the foundation for business intelligence.
"Although fully searchable text could, in theory, be retrieved without much metadata in the future, it is hard to imagine how a complex or multimedia digital object that goes into storage of any kind could ever survive, let alone be discovered and used, if it were not accompanied by good metadata" (Abby Smith). Discuss Smith's assertion in the context of the contemporary information environment
For the past couple of decades the majority of businesses have wanted to construct a data-driven organization or company. Furthermore, companies around the world are considering harnessing data as a basis of competitive advantage over other companies. As a result, business intelligence and data science use are popular in many organizations today. The increase in adoption of these data systems is in response to the heavy rise in communications abilities the world over. Which, in turn ,has increased the need for data products. Indeed, the Data Scientist profession is emerging to be one of the better-paying professions due to the urgent need of their labor. This paper is going to discuss what business intelligence is all about and explain data science that is usually confused to be similar to business intelligence. I will tackle a brief overview of data scientists and their role in organizations.
Databases are becoming as common in the workplace as the stapler. Businesses use databases to keep track of payroll, vacations, inventory, and a multitude of other taske of which are to vast to mention here. Basically businesses use databases anytime a large amount of data must be stored in such a manor that it can easily be searched, categorized and recalled in different means that can be easily read and understood by the end user. Databases are used extensively where I work. In fact, since Hyperion Solutions is a database and financial intelligence software developing company we produce one. To keep the material within scope I shall narrow the use of databases down to what we use just in the Orlando office of Hyperion Solutions alone.
Prior to the start of the Information Age in the late 20th century, businesses had to collect data from non-automated sources. Businesses then lacked the computing resources necessary to properly analyze the data, and as a result, companies often made business d...
The Database Management System (DBMS) is software that enables the users to define, create, maintain and control the access to the database. It is a software that interact with the user’s applications programs and it database. Meanwhile, information retrieval system is a system that involved the activity that the systems obtain the information. The obtaining information action need the information from it resources.