Data warehouse

TERM PAPER/SEMINAR 0n 21st CENTURY SUCCESS MANTRAS: BUSINESS INTELLIGENCE AND DATA WAREHOUSING Submitted to AMITY SCHOOL OF ENGINEERING AND TECHNOLOGY (ASET) Guided by: Mrs. Darothi Sarkar Submitted by: AKSHAY DOGRA Enroll No.A2345913057

efficient way to improve business processes and offer a strategic way to use information technology to share information resources. Applications such as Google drive and Evernote are great tools to use to help with organizing, sharing, and storing data within a company. Mobile applications for companies like FormMobi can help build brand loyalty and increase exposure to the business by promoting different products, rewarding staff, and sending notifications of new products to customers. Adding

transactions and a data warehouse optimized for processing and summarizing large amounts of data. Next this author will outline the difference database requirements for operational data for decision support data. Next this paper will describe three example in which databases could be used to support decision making in a large organizational environment. Lastly this author will describe three other examples in which data warehoused and data mining could be used to support data processing and trend

Business Google is able to use data warehousing to improve its business. A data warehouse is a logical collection of data that supports business analysis activities and decision making tasks. Google can use a data warehouse to store information just like a database is able to, but in an aggregated form more suited to supporting decision-making tasks. Cleansing of Data Warehouse Google will need to cleanse the information on its data warehouse simply because data warehouses can contain information from

firms. An organization trying to make focal point in order to comprehend the information that is produced in the execution of their business. Business intelligence can be an essential system to allow small medium enterprises to take vantage so from the data that are accessible. Thus, business intelligence systems can help the firms to

components and operating systems to ensure that the system is operating efficiently. Maintainability helps in limiting duplicate features that may be found in the system. UMUC Haircuts therefore should consider how easy the site will be to add customer data onto the website and to maintain it during the operations. Scalability is how well a system’s architecture grows, as traffic and demand for services also grows (Woojong, 2005). Scalability is about the ability of a system to handle increases in load

Redesigning the Customer Database Dirt Bikes U.S.A. sells primarily through its distributors. It maintains a small customer database with the following data: customer name, address (street, city, state, zip code), telephone number, model purchased, date of purchase, and distributor: http://wps.prenhall.com/bp_laudon_mis_10/62/15946/4082221.cw/index.html. These data are collected by its distributors when they make a sale and are then forwarded to Dirt Bikes. Dirt Bikes would like to be able to market more aggressively

In the current business world, enterprises have developed strategies and technologies which are useful for data analysis of the associated business information. This information obtained is essential in making prudent business decisions. This developed strategies and technologies used for data analysis are known as business intelligence which is abbreviated as BI. Business Intelligence is associated with businesses issues which go around its history, current situation and a future analysis of the

Furthermore, there is the issue of lack of data availability and data sharing whereby departments or users are unable to access the database system to retrieve files as well as share them to other department or external business consortiums. Lastly, there is the issue of program-data individuality whereby the data is not independent of the programs that are used to access them that they can be easily interfered with using these

document is to detail the steps necessary to implement a Big Data database platform to achieve what is called an Enterprise Data Lake and to improve Enterprise Data Hub where all data stored in one place and integrated with existing infrastructure and tools. Relevance Presently, I am working as a Database developer in a Software company. My primary role is to help my clients in implementing appropriate database architecture and analyzing data so that my clients can understand their users better. Introduction