How Data Warehouse Is It Improves The Productivity By Redesigning Business Process And Work

This data is collected and organized in order to process orders and maintain good customer service. The logical view of data would allow a knowledge worker to arrange and access information based on the needs of the business separating it from the physical view of how information is arranged and stored. The ability to do this allows for an employee to create detailed reports in order to determine information such as customer information and their order numbers and dates. This is imperative for a company like Comcast who has over 27 million customers in order to have a system to keep important data to analyze. Using a data warehouse allows them to gather from several databases and then the company can use the information to determine for example how many units of voice products are sold to create the necessary business intelligence to make future decisions and remain

One of the main functions of any business is to be able to use data to leverage a strategic competitive advantage. The use of relational databases is a necessity for contemporary organizations; however, data warehousing has become a strategic priority due to the enormous amounts of data that must be analyzed along with the varying sources from which data comes. Company gathers data by using Web analytics and operational systems, we must design a solution overview that incorporates data warehousing. The executive team needs to be clear about what data warehousing can provide the company.

One crucial thing that organizations need to consider in today’s unstructured data world is to successfully integrate data warehouses. For this, the companies need to re-consider their enterprise data architecture and classify the governance strategy that can be talented through such efforts. There lies a need for data managers

A data warehouse is a large databased organized for reporting. It preserves history, integrates data from multiple sources, and is typically not updated in real time. The key components of data warehousing is the ability to access data of the operational systems, data staging area, data presentation area, and data access tools (HIMSS, 2009). The goal of the data warehouse platform is to improve the decision-making for clinical, financial, and operational purposes.

In today 's organizations, basic descision making procedures and day by day operations frequently rely upon information that is put away in an assortment of information stockpiling frameworks, arrangements, and areas. To transform this information into helpful business data, the information commonly should be consolidated, purified, institutionalized, and compressed. For example, data may be changed over to an alternate information sort or different database servers may store the vital information utilizing diverse patterns. Dissimilarities like these must be settled before the information can be effectively stacked to an objective target. After the plan and improvement of data warehouse as per the business prerequisites, the way toward combining the information into the information stockroom from different sources is to be thought of. Extract Transform Load (ETL) procedures are basic in the achievement of the Data Warehousing ventures. The way toward extricating information from one source (extract), changing it as per the outline of the data warehouse(transform) and stacking it into data warehouse (load) constitute ETL. As it were, ETL is the way toward extracting information from different information sources, changes it according to the prerequisites of the target data warehouse and effectively stacking it into the data warehouse (database). In the transformation procedure data is institutionalized to make it perfect with the target database along with data purifying

The data warehouse comes ready for use, but an organization has to get prepared to use it. The main factor is data warehouse usage. A data warehouse can be used for decision making for management staff.

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 data in a data warehouse comes from operational systems of the organization as well as from other external sources. These are collectively referred to as source systems. The data extracted from source systems is stored in a area called data staging area, where the data is cleaned, transformed, combined, deduplicated to prepare the data for us in the data warehouse. The data staging area is generally a collection of machines where simple activities like sorting and sequential processing takes place. The data staging area does not provide any query or presentation services. As soon as a system provides query or presentation services, it is categorized as a presentation server. A presentation server is the target machine on which the data is loaded from the data staging area organized and stored for direct querying by end users, report writers and other applications. The three different kinds of systems that are required for a data warehouse are:

The major of subjects is arranged in data warehouse. For example, inventory, products and customer, to get more benefits form data warehouse it must be integrated by collecting from databases across enterprises, the information for customers should have code or described specifically according to departments. All departments the procedures on database are updated on a regular basis with deletion, insertion and changes. The operations that only be in data warehouse the data can be loaded and the data can be accessed. Once whole data forms and models are recorded, the data can not change. The design of retrospective data warehousing is traditional, and many questions before starting design to be work as required. What we sale? What will be the importance of our debt in the next six months? Where is the best market for a new service? A data warehouse in the World Wide Web is a predictable to save Lawrence Livermore National Laboratories in California a lot of related costs whit clients.

Managers and executives will be able to make business decisions on the basis of the data gathered from various sources with more accuracy. Data warehouse stockpiles different facts and figures, and helps the decision makers to take better decision. Furthermore, data warehouse can also help in management of

Data warehouse is a central repository integrating data from various operating systems for validation of data, prediction etc .Data Warehouse is a relational database used for analysis and query rather than transactional database. It is used to collect historical data from various sources, integrate, analyze a particular subject, report. Data warehouse is time variant i.e one can retrieve any older data and once data enters data warehouse it cannot change [1]. According to Ralph Kimball Data warehouse is “copy of transaction data constructed for analysis and query”[5]. Data is taken from various sources like marketing, sales, ERP etc.

Data warehouse – focuses primarily on storing data used to generate information required to make tactical or strategic decision. (pg. 9)

Every organizations have their own independent Data Warehouse and due to increase in the number of transactions, the size of the data is also increasing. Data warehouse is the central repository of information for an organization. There are multiple data sources like OLTP, excel, csv, txt, xml, etc, that are generated from various systems and are populated to data warehouse by ETL and thus Data Warehouse stores the summarized integrated business data in a central repository. The Data Warehouse is used for the analytical applications (OLAP – On-Line Analytical Processing), decision making, data mining and user applications.

Data warehouse are multiple databases that work together. In other words, data warehouse integrates data from other databases. This will provide a better understanding to the data. Its primary goal is not to just store data, but to enhance the business, in this case, higher education institute, a means to make decisions that can influence their success. This is accomplished, by the data warehouse providing architecture and tools which organizes and understands the

As your business evolves, the data warehouse may not meet the requirements of your organization. Organizations have information needs that are not completely served by a data warehouse. The needs are driven as much by the maturity of the data use in business as they are by new technology.