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BNET Business Dictionary
- Data Warehouse
- a collection of subject-orientated data collected over a period of time and stored on a computer to provide information in support of managerial decision making. A data warehouse contains a...
- Data Warehouse definition on BNET »
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- Indexing Techniques in Data Warehousing Environment the UB-Tree Algorithm
- The indexing techniques in multidimensional databases are becoming more and more important. The data warehouse environment has become a popular technology and a lot of research work has been done in order to improve the query performance and to provide faster response times. The ability to answer these queries efficiently...
- White papers 2003-03-24
- Aquaware: A Data Quality Support Environment for Data Warehousing
- In the current economy the Data Warehouse constitutes a fundamental tool to support decision making processes. However, to take better advantage of enterprise information assets, it is necessary to rely on the information provided, or at least, that its reliability degree can be appropriately evaluated and considered during decision making....
- White papers 2004-08-16
- Power Analysis System Based On Data Warehouse
- Data warehouse provides an effective way for analysis and statistic to the mass data, and helps to do the decision-making. The paper introduces the data warehouse and the online analysis process. According to the power management information system, the paper analyzes the power-oriented multidimensional database modeling and the presentation of...
- White papers 2006-05-05
- Enterprise Modeling and Data Warehousing in Telecom Italia
- This paper presents a methodology for Data Warehouse design and its application within the TELECOM ITALIA information system. The methodology is based on a conceptual representation of the Enterprise, which is exploited both in the integration phase of the Warehouse information sources and during the knowledge discovery activity on the...
- White papers 2004-07-23
- Data Warehousing in Construction: From Conception to Application
- Data warehousing has emerged as an effective mechanism for converting data into useful information. It is an improved approach to integrate data from multiple, often very large, distributed, heterogenous databases and other information sources. This paper examines the possibility of using data warehousing technique in the construction industry to integrate...
- White papers 2002-04-25
- Automated Data Warehousing for Rule-Based CRM Systems
- This paper proposes a novel way of automatically developing data warehouse configuration in rule-based CRM systems. Rule-based CRM systems assume that marketing activities are represented as a set of IF-THEN rules. Currently, to provide good quality CRM functionalities, CRM systems seek to combine conventional CRM methodologies with data warehousing technology....
- White papers 2002-11-26
- Data Mining for Analyzing the Impact of Environmental Stress on Plants - A Case Study Using OSMID
- This paper first provides a brief background on the basic concepts and development of data mining and how it relates to data warehousing. Data mining and data warehousing are relatively new and rapidly expanding areas of information systems for which new courses and curricula being created. A brief background on...
- White papers 2004-09-09
- A Data Warehousing and Data Mining Framework for Web Usage Management
- A new challenge in Web usage analysis is how to manage and discover informative patterns from various types of Web data stored in structured or unstructured databases for system monitoring and decision making. In this paper, a novel integrated data Warehousing and data mining framework for Website management and patterns...
- White papers 2005-09-21
- An Architecture for Data Warehousing Supporting Data Independence and Interoperability
- This paper describes a new architecture for data warehousing that introduces a new level of abstraction to the traditional data warehousing framework. The new level serves to guarantee an independence of OLAP applications from the physical storage structure of the data warehouse. This property allows users and applications to manipulate...
- White papers 2004-11-10
- Benefits of Applying AppWorx to Data Warehousing
- In most cases, the data is transactional data pulled from a number of different applications in the enterprise, but it can be any type of data. The goal of a data warehouse is to provide an enterprise with high quality information that they can use to make tactical and strategic...
- White papers 2005-04-01
- Information Integration: New Capabilities in Data Warehousing for the on Demand Business
- This paper will briefly review the fundamental assumptions behind data warehousing and how they have led to today's implementations. Real-life experiences of data warehousing are used to show how business needs are changing and how implementation approaches are evolving in response to those changes. New tooling and the new possibilities...
- White papers 2005-01-01
- Choosing a DBMS for Data Warehousing
- When making product decisions for a Data Warehousing DW environment, the DataBase Management System DBMS is the most important. Though not the most expensive component, it should be chosen with care and with active discernment over the issues and marketing messages. The data warehouse DBMS will certainly have a large...
- White papers 2002-08-05
- Scalable Data Warehousing on Microsoft Windows 2000?: Why It's Only Possible With the Teradata Database
- Teradata Database's patented architecture extends the Microsoft Windows 2000 operating system to provide the capability to support enterprise data warehouses. The Teradata Database provides parallelism, scalability, availability/switchover, system management, and interconnect/messaging in a single, massively parallel processing system. The Teradata Database is the only RDBMS to allow the enterprise to...
- White papers 2004-06-01
- Enterprise Model-Driven Data Warehousing
- This paper presents a comprehensive approach on how to improve the quality of data warehouses through the enrichment of metadata based on explicit modeling of the relationships between enterprise models, source models, and client interest models. The authors' algorithms, prototypical implementations, and partial validations in a number of real-world applications...
- White papers 2004-07-19
- Business Process Visibility: Different Approaches
- A person is undoubtedly familiar with Business Intelligence BI products, and how they work with data warehouses to enable managers to slice and dice business information in thousands of ways. Unlike BI solutions that may operate off of data warehouses that are feed by non-real time batch data feeds, the...
- White papers 2004-03-01
- Direct Marketing Technology Overview
- The landscape of Direct Marketing has substantially evolved over the past 10 years. Advances in the way that data can be accumulated, modeled and mined, and used to align finite Marketing resources has ushered in a new way for Marketers to maximize the mutual benefit of the relationship between the...
- White papers 2001-03-15
- On-Time Data Warehousing With Oracle10g - Information at the Speed of Your Business
- Data warehouses have become a cornerstone of successful enterprises, and many companies are recognizing that they can further leverage their data warehouse investment by using the information in the warehouse to more effectively drive day-to-day business operations. The traditional role of a data warehouse has been to support strategic decision-making,...
- White papers 2003-08-01
- Business Metadata For The Data Warehouse
- Enterprise organizations use Data WareHouses DWHs to analyze their performance. Performance is judged regarding the achievement of goals. DWH data models are well established. There exist numerous domain-specific modeling approaches. Enterprises also often model their goals in terms of formal or semiformal goal models. The problem is that these two...
- White papers 2006-08-18
- Using Automed for Data Warehousing
- A data warehouse consists of a set of materialized views defined over a number of data source, collects copies of data from remote, distributed, autonomous and heterogeneous data sources into a central repository to enable analysis and mining of the integrated information. Data Warehousing and On-Line Analytical Processing OLAP are...
- White papers 2003-04-07
- From Data Warehouse To CRM, The Evolution Of Enterprise Customer Focus
- As old as business itself, Customer Relationship Management CRM has grown to be a number one priority in corporations around the globe, primarily because of the growth of the Internet and Web. Central to the move toward a customer-centric enterprise is the data warehouse and today, many firms both large...
- White papers 2006-06-21
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