The Return on Investment of Data Warehousing
This paper will present the return on investment (ROI) of data warehousing (DW). The history of data warehousing is based on the definition and timeline. Then, detailed information about return on investment will be discussed. Following, will be information about data warehousing new technology of hardware and software. Data Warehousing is a new term in my department where we use the Network Appliance (NetApps) Netfiler storage devices/units. The information read was very informative and helpful in my understanding data warehousing better. Finally, a conclusion about the return on investment of data warehousing.
According to Ralph Kimball's article, www.dwinfocenter.org/defined.html, "a data warehouse is a copy of transaction data specifically structured for querying and analysis." The author has two quibbles with the Ralph's definition and they are: "1) sometimes non-transaction data are stored in a data warehouse though probably 95-99% of the data usually are transaction data and 2) querying and reporting rather than "query and analysis" because the main output from data warehouse systems are either tabular listings (queries) with minimal formatting or highly formatted "formal" reports." "Queries and reports generated from data stored in a data warehouse may or may not be used for analysis." The author states, "he especially like about Ralph's definition is what he does not say which is the form of the stored data has nothing to do with whether something is a data warehouse." A data warehouse can be normalized and de-normalized. It can be a relational database, multidimensional database, flat file, hierarchical database and object database. Data warehouse...
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...r or collaboration and shared solutions." These two CIOs are speaking from experience, not usage of management reports or historical data, which provides management with decision making solutions. Federal agencies need to share data and there is a data-sharing model (GJXDM) to simplify the exchange of law enforcement files. This is very crucial because we read or see on the news, all the time how a person is in one state as a regular citizen working who is actually a felon in another state. Another big area of concern is public-safety agencies as well as courts. I work with three Acquisition systems that have the same data field types and names, but do not share information so you have to type the same date in each system which equals to three times of data redundancy. I am glad I chose this topic for my paper because it is always good to learn new information.
Companies employ a number of data collecting methods across their many departments. In order to be useful data needs to be in the same format, with clear description so what they are, checked for validity, and redundant files compiled. This can take time since just an accounts payable department could have phone messages, emailed messages, and typed messages that all need to be changed and documented. Failure to understand and prepare data properly can lead to false results and wasted time both of which hurt the company (Olsen & Delen,
Interoperability is the ability of making systems and organizations work together (inter-operate). HIMMS (2013) describes the interoperability as; “the extent to which systems and devices can exchange data, and interpret that shared data. For two systems to be interoperable, they must be able to exchange data and subsequently present that data such that it can be understood by a user.” While the term was initially defined for information technology or systems engineering services to allow for information exchange, a wider definition considers social, political, and organizational factors that impact system to system performance.
DataClear had also recorded very impressive sales growth in its first two years and, given the projections, were looking at 300 percent average revenue growth thru '02. The case analysis available shows that DataClear has a $600 million annual domestic market for its current product and $1.2 billion when you add in the global market in telecommunications and financial services. With product expansion, there was a potential annual $2.7 billion market ($1.5billion domestic/$1.26 billion abroad) to target in the telecommunications, financial services, chemical, petrochemical, and pharmaceutical industries combined.
...ystems or information technology. Moreover, the purpose of the record is a record to store the entire crisis and problems in up the product into the system can be restored. The purpose of storage is for making corrections and the possibility of returning the product will be an entry in a loss to the company. Records can be referred by the department of finance, administration and management. Similarly, every management job requires the recording and storage of data to be reviewed in the event of confusion. Therefore, information systems or information technology is very important in the business sector nowadays.
Ans: When a data mart replaces data warehouse, data marts can be used for analysis purposes and it would be much less expensive to work with data mart but then they can be used only for specific business unit or department. When a data mart is used to complement a data warehouse it has the benefit of using the consis...
At a physical level, data warehouses tend to be heavily indexed and partitioned to put the most used data on faster storage. There are other options available as well. Data warehouses are typically designed with specific questions in mind, but as data grows, the warehouse gains value because there are new questions that can be asked if only the organization is perceptive enough to see them. Those questions and their answers can lead to new opportunities for designing a competitive advantage.
What is a data warehouse and what are its benefits? Why is Web accessibility important with a data warehouse?
In today's fast paced world, data warehouse plays an important role in all sectors including financial, IT, retail and many more. Over the past decade data warehouse has been used to derive business solutions and increase productivity for potential success. After analysing various success factors to define a good solution the main factors noted and discussed in this review are those involving the system process, information quality and organisational impacts. Success of a warehouse architect depends on many organizational factors which include data warehouse, ETL, data modelling, security and business intelligence. By taking into account all these factors
The last decade can be marked as a period of significant changes in the business world. Being accustomed to utilize computers as a powerful tool with its office applications such as Microsoft Word and Excel. In the 1990s office workers first faced the opportunity to share information using the Internet (McNurlin, 2009). However, the situation became even more different with the transition to the third millennium. With a further development of information technologies, the majority of big enterprises had to reconstitute their business processes and to make the transition to the Internet economy. Enterprise resource planning (ERP), supply-chain management (SCM), customer relationship management (CRM) software and the variety of other information systems became essential components of the new economy. It can be expected, that all these complex solutions were designed to bring great benefits for different sides of the corporate activity, in particular, decisions made by top-managers are expected to become nearer to the ideal, customer service is to be improved and collaboration more prolific. Nevertheless, to ensure the desired results it should be taken into account that the key concept of these reorganizations is an information or a data, dealing with which can be a serious issue, and wide utilizing of the data warehouses in contemporary organizations confirms this fact.
Some automated warehousing system offers the flexibility to expend the storage capacity and overall throughput
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.
First of all, business intelligence analysis requires the capturing of information and storing in a single location for effective data analysis. Currently, data analysis is supported by transactional systems, business specific data marts, and other ad-hoc processes. Information is distributed making it difficult and time-consuming to access. Business teams have adapted to this environment by creating user maintained databases and manual “work-arounds” to support new types of reporting and analysis. This has resulted in inconsistent data, redundant data storage, significant resource use for maintenance, and inefficient response to changing business needs.
It is main operations where companies can provide tailored services for their customers in order to gain competitive advantage. The WMS is a database driven computer application which used to improve the efficiency of the warehouse and ensure the accuracy of inventory by recording warehouse transactions. It aims to control the movement and storage of raw materials within a warehouse and process the associated transactions where including shipping, receiving, put-away and picking the materials or finished goods. It used to improve the efficiency of the warehouse maintain accurate inventory by recording warehouse transactions (Ramaa.A, 2012) . This paper has highlighted the findings of the study carried out to evaluate performance levels of the WMS and enhance productivity of the manual warehouses by developing a WMS framework and cost benefit analysis. There was a metrics for measuring the performances of warehouse based on order fulfillment, inventory management and warehouse productivity which may use to audit warehouse performance and assess to WMS potential. From results of the case study showed, the cycle time of the process, non-value added time, manpower required has reduced with the WMS. Besides, with the WMS, the time scheduling for the products has become possible, and this has reduced the waiting time of the suppliers. In addition, the warehouse will has prior
Data can be organized a specific way for each business to be able to get the best use. Employees can also access the system at the same time but in different ways. For example, the customer service team can pull up documents and keep track of complaints at the same time that the marketing team is in a