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    The Data Warehouse

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    A Data Warehouse is a database-centric system of decision support technologies used to consolidate business data from many disparate sources for use in reporting and analysis (Data Warehouse). Data Warehouses and Data Warehouse systems are primary used to server executives, senior management, and business analysts with accurate, consolidated information from various internal and external sources to aid in the process of making complex business decisions (Data Warehouse Process). The term Data

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    database and data warehouse: • Database is used for on-line transactional processing (OLTP) but may also be used for data warehousing • Data warehouse is designed for on-line analytical processing (OLAP), it reads historical data for the users for business decisions • In databases the tables and joins are complex since databases are normalized for RDMS (relational data management system), this facilitates in reducing the redundant data and thereby saving the storage space • In data warehouse the tables

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    How businesses store, organize, and manage their data has a tremendous impact on organizational effectiveness (Laudon & Laudon, 2012). In order to determine whether to have a separate database from a data warehouse, you must first understand the differences between the two. A database is referred to as an organized collection of data. Databases are created to operate large quantities of information by storing, retrieving, inputting, and managing that information. Databases are set up so that one

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    In order to store something, data should be collected first. Conducting interviews and distributing questionnaires are the most common and simplest techniques in collecting data. These techniques are useful in investigating a specific subject especially if there are no original data available. This is generally known as the collection of primary data. Before data can be used, data needs to be transformed to fit the present needs (TimeWeb, 2010). Checking for errors, making critical summary and

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    Data WareHouse

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    Being a market leader today requires competitive advantage over rival organizations. By investing in data warehouses, organizations can better predict the trends in market and offer services best suited to the needs of their customers. A Data Warehouse (DW) can be defined as a subject-oriented, non-volatile database having records over years [1,2]. DWs support the strategic decision-making process and help to answer questions such as "Who was our best customer for this item last year?"[3]. Different

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    Kar Dealership Data Warehouse The purpose of the Kar data warehouse is to make data available to the business users for decision making purposes and to enable the dealership use predictive analytics and statistics to help the company sell more Kar products. The reason for creating a data warehouse is to do business intelligence (Hammergren & Simon, 2009). The Kar dealership has realized that in order to be successful they must use their data as a tool to be competitive. They must find out who their

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    management system (DBMS) to collect, store, modify, extract, and analyze information. However, with the increased amount of data collected from the internet, social media, mobile devices, and computers, necessitates the essential for business entities to analyze large quantities of data sets-known as “Big Data.” Innovation is crucial for business organizations to utilize big data to extract and analyze useful information to remain competitive, increase business entities efficiency, and create new lines

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    Analysis and Research for a data warehouse system Data warehousing is a difficult system and has to have the capability deliver quality data. An operational database is one which is used by organizations to run its day to day database activities. They are designed to handle rapid transaction processes with systematically updates. Velocity is important to operational databases. They are most commonly operated by office staff, and are on the order of megabytes of data to gigabytes. Database consistency

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    Data Warehouse Case Study

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    Summary: A data warehouse is an information conveyance framework for business insight. It is not about innovation, but rather about taking care of clients ' issues and giving key information to the client. In the period of characterizing prerequisites, you have to focus on what information the client’s need, less on how you are going to give the obliged information (1). The genuine techniques for giving information will come later, not while you are gathering necessities.

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    inventory activities, data ware house system should be implemented over there. Data warehouse system is able to manage the all operational activities of the big enterprise along with data accuracy, consistency and data quality. Requirement analysis and gathering, designing data model, developing data warehouse and then implementation are the all steps for implementing data warehouse system in an organization. We are covering Data warehouse development, Benefits of data warehouse and expectations from

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