1. Introduction
Avalon is an application that supports a standard way of working across Fugro. To support this standard way of working Avalon applications handle with an enormous volume of transactional data daily. In a further stage this transactional data is used for monitoring and controlling process and decision making, in line with the Avalon program goals below.
- Improve Cross-OpCo and Cross-divisional project transparency and control and;
- Provide automated key information and reporting at all levels.
The Avalon data warehouse is a combination of data warehouse functionality with a business intelligence application that expanding Avalon reporting capability and enable Avalon to achieve goals concerning reporting.
This document describes the Avalon data warehouse as a business solution to enhance Avalon reporting.
Chapter 2 describes the Avalon data warehouse functionality and chapter 3 the scope of the Avalon data warehouse. Chapter 4 lists the motivation for supporting the Avalon data warehouse implementation. In chapter 5, the process of collecting and processing business requirements is described. At chapters 6 and 7, there is a technical description of the architecture and data security, and Chapter 8 outlines the implementation plan.
2. Avalon data warehouse
The Avalon data warehouse is a business solution that enhances Avalon with powerful database functionalities. These functionalities provide to Avalon users a practical way to view historic data, and by
As with any computer system, a concern regarding the data warehouse is the system crashing. If this happens, REI may possibly lose all of the important information they have retained from the consumer. In addition, if these systems are not kept up to date or if one system is updated, but another is not, information may be misdirected into the data warehouse. It is important to monitor the systems to ensure their
Real-time data warehousing creates some special issues that need to be solved by data warehouse management. These can create issues because of the extensive technicality that is involved for not only planning the system, but also managing problems as they arise. Two aspects of the BI system that need to be organized in order to elude any technical problems are: the architecture design and query workload balancing.
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.
An enterprise data warehouse (EDW) makes information accessible to the applications utilized as a part of offices all through the association including engineering, human resources (HR), and strategic planning. Norfolk Southern assembled a TOP dashboard
What information is accessible? The data warehouse offers possibilities to define what’s offered through metadata, published information, and parameterized analytic applications. Is the data of high value? Data warehouse patrons assume reliability and value. The presentation area’s data must be correctly organized and harmless to consume. In terms of design, the presentation area would be planned for the luxury of its consumers. It must be planned based on the preferences articulated by the data warehouse diners, not the staging supervisors. Service is also serious in the data warehouse. Data must be transported, as ordered, promptly in a technique that is pleasing to the business handler or reporting/delivery application designer. Lastly, cost is a feature for the data
An enterprise data model presents an abstraction of a more complicated real-world event or object. Generally, a data is graphical simple representation, of an interconnected real organization’s data structures. The main function of the data model is to help in understanding the complexities of a particular organization. A data model within a database environment brings out the data structures, their transformations, constraints, relations, and characteristics, thus providing a blueprint of
Data warehouse has different concepts of data. Each concept is divided into a specific data mart. Data mart deals with specific concept of data, data mart is considered as a subset of data warehouse. In Indiana University traditional data warehouse is unable to create large data storage. Further it shows any errors and imposed rules on data. The early binding method is disadvantage. It process longer time to get enterprise data warehouse (EDW) to initiate and running. We need to design our total EDW, from every business rule through outset. The late binding architecture is most flexible to bind data to business rules in data modeling through processing. Health catalyst late binding is flexible and raw data is available in data warehouse. It process result by 90 days and stores IU data without any errors.
Data is fed into centralized data logging system and reporting tools to derive actionable reports
Port Aventura was launched in 1995 and since that time has transformed from a theme park to an all-encompassing resort. Due to this change, management now requires the ability to identify and target individual customers, as opposed to statistical averages of broad groups. One-to-one communication will allow for customized marketing packages and the ability to maximize revenues. However, information management systems currently in place are not capable of tracking customers to the degree needed to support a one-to-one marketing approach. Therefore, it is the recommendation of Nielsen consulting that Port Aventura implements a data warehouse to facilitate the required analytics to determine who their customer is.
A data warehousing is defined as a collection of data designed to support management decision making. Data warehouses contains a wide variety of data that present a coherent picture of the business conditions at a single point in time. Development of a data warehouse includes development of the systems that extract data from operating systems plus the installation of the warehouse database system that provides managers flexible access to the data. The term data warehousing generally refer to the combination of many different databases across an entire enterprise. (webopidia)
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.
All projects are working towards a Data Model that gets approved by engineering and business in the next few sprints. The goal is to provide self service reporting capabilities for the data relevant to respective business function.
The data warehousing system will also allow the company to use a data model and server technology that speeds up querying and reporting. This is because these will not be included in the data processing time thus allowing the company to use a modeling technique that does not slow down or complicate the transaction processing system. The data warehouse will also allow the company to use a bit-mapped indexing system as their server technology in order to speed up query and report processing. Technologies for transaction recovery will also be employed to speed up transaction
Today businesses are investing many resources in building data warehouses and data marts to obtain timely and actionable information that will give them better business insight. This will enable them to achieve, among other things, sustainable competitive advantage, increased revenues and a better bottom line.
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