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5. A reflective researcher with skills in: ¬
(b) Conducting research

Feature Articles, Case Studies, etc

These entires are sorted alphabetically by last name.

# Author Year Category Research Type Theme
1 No author 1997 Data Warehousing Practice    
2 No author 1999 Data Warehousing Practice    
3 No author 1999 Data Warehousing Practice    
4 No author 1999 Data Warehousing Practice    
5 No author 1999 Data Warehousing Practice    
6 Benander, Alan.; Benander, Barbara.; Fadlalla, Adam 2000 Data Warehousing Practice    
7 Blackwood, Phil 2000 Data Warehousing Practice    
8 Burdett, Crispin 2000 Data Warehousing Practice    
9 Chen, Lei-da; Sakaguchi, Toru.; Frolick, Mark N. 2000 Data Warehousing Practice    
10 Chou, David C.; Chou, Amy Y. 2000 Data Warehousing Practice    
11 CIO roundtable 1996 Data Warehousing Practice    
12 Cottrill, Ken 1999 Data Warehousing Practice    
13 David, Julie Smith.; Steinbart, Paul John 2000 Data Warehousing Practice    
14 Draaisma, Muriel 1998 Data Warehousing Practice    
15 Fairhead, Neil 1995 Data Warehousing Practice    
16 Fanella, James A. 1996 Data Warehousing Practice    
17 Gallegos, Frederick 1999 Data Warehousing Practice    
18 Gore, Jennifer 1997 Data Warehousing Practice    
19 Hickey, Kathleen. 1999 Data Warehousing Practice    
20 Joshi, Kailash; Curtis, Mary 1999 Data Warehousing Practice    
21 Molson Beweries 1999 Data Warehousing Practice    
22 Molson Breweries 1999 Data Warehousing Practice    
23 Murtaza, Ali H. 1998 Data Warehousing Practice    
24 Nannery, Matt 1999 Data Warehousing Practice    
25 Nelson, Kristi 1999 Data Warehousing Practice    
26 Olsen, David H.; Cooney, Vance 2000 Data Warehousing Practice    
27 Petravick, Simon 1999 Data Warehousing Practice    
28 Poe, Vidette; Reeves, Laura L.; Gray, Paul 1997 Data Warehousing Practice    
29 Roberts, Bill 1999 Data Warehousing Practice    
30 Sedgwick, David.; Connelly, Mary 1999 Data Warehousing Practice    
31 Swope, Christopher 2000 Data Warehousing Practice    
32 Van den Hoven, John 1999 Data Warehousing Practice    
33 VandenHoven, John 1998 Data Warehousing Practice    
34 Wilken, Earl 1998 Data Warehousing Practice    
35 Winans, Christopher 1999 Data Warehousing Practice    
36 Zarowin, Stanley 2000 Data Warehousing Practice    

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1 Author No author
Year 1997
Title Tracking trends at oh-so-trendy Bebe
Keywords Bebe Stores Inc. - Information systems.Information systems - Retail trade use
Abstract Part of a special section on information systems in the retail industry. A tightly integrated information-systems infrastructure and adept analysis of point-of-sale data are enabling 70-store San Francisco-based Bebe to succeed in fashion, one of retail's most difficult niches. Bebe relies on a suite of applications from Lynnwood, Washington-based Apropos Retail Management Systems to keep ahead of fashion trends, and the applications feed off data housed on an Informix database sitting on Hewlett-Packard servers. John Chan, systems analyst at Bebe, notes that the chain's sales analysts and its buyers are getting a better feel for how styles move in various areas. He adds that Bebe's corporate planner is now able to build profiles for every store that enable it to micromarket much better. Eventually, Chan envisions the chain installing a data warehouse.
Search String "data warehouse"
Search Date 03-Feb-00
Search Num 29 of
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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2 Author No author
Year 1999
Title Growing lifetime value: frequent-shopper programs come of age
Keywords Information systems - Marketing use. Frequent buyer programs. Information systems - Retail trade use.
Abstract Certain retailers, such as Macy's West in San Francisco, are using such techniques as data warehousing and mining to identify and reward their best customers. Macy's uses the information garnered from such sources to project the spending trends of specific customers. However, many retailers are slow to use such consumer data as that collected from frequent-shopper programs, and according to retail consultants Martha Rogers and Barry Kotek, many retailers have not customized their relationship with their most regular shoppers, which could turn them into loyal customers.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 27 of 153
Thesis Type Feature Article
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Category Data Warehousing Practice
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3 Author No author
Year 1999
Title Merchandising systems spawn data warehouses. (Carlton Cards uses data warehouse to move Teletubbies dolls)
Keywords Carlton Cards Ltd. - Information systems.Teletubbies (Television program)Data warehouses. Dolls - Marketing.Teletubbies (Fictional characters).
Abstract Carlton Cards used its data warehouse to initiate sales of Teletubbies dolls in some of its stores. Although they sold extremely well in virtually all the Carlton Cards stores when the retailer added them to its merchandising mix, the dolls were not selling at all in a number of the retailer's outlets. The firm's data warehouse--a large, central database where individuals are able to access mirror copies of data previously housed only in operational databases that serve particular departments--showed that in the stores where the Teletubbies were not selling, the dolls were in fact in unopened boxes in the back rooms of the stores. As a result, the company was able to ensure that the dolls were soon put out on the store's shelves, and they were quickly sold.
Search String "data warehouse"
Search Date 03-Feb-00
Search Num 11 of
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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4 Author No author
Year 1999
Title Seeking business intelligence in a data warehouse
Keywords Data warehouses. Printing industry - Computer use.
Abstract A white paper entitled "Data Warehousing: The Key to an Effective Business Intelligence Solution," produced in July 1998 by Holly Rader of IBM, can help managers in the graphic arts industry to review the reasons for adopting a data warehousing program. Data warehouses and their business applications are discussed, and a sidebar provides an excerpt from the white paper detailing the problem of accumulated business data.
Search String "data warehouse"
Search Date 31-Jul-00
Search Num 41 of 215
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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5 Author No author
Year 1999
Title The big dig: how EuroTunnel blazed a shortcut to data warehousing
Keywords Eurotunnel plc - Information systems.Data warehouses
Abstract U.K. and France-based EuroTunnel, which runs the Channel Tunnel, decided to resolve problems with data gridlocks on its computer systems through the adoption of a shortcut to data warehousing using an extraction, cleansing, transformation, and loading (ECTL) tool. The ECTL tool, Ardent Software's DataStage, simplifies and accelerates the most important stages of data-warehouse development by allowing users to extract, cleanse, and transform data from many sources and integrate it into a wide array of target databases.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 17 of 153
Thesis Type Feature Article
University  
Category Data Warehousing Practice
Research Questions EuroTunnel: Shortcut using an ECTL tool to resolve data gridlocks from many data sources.
Research Type  
Theme  
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6 Author Benander, Alan.; Benander, Barbara.; Fadlalla, Adam
Year 2000
Title Data warehouse administration and management
Keywords Data warehouses - Management.Information systems personnel - Training.Information managers - Training.Data marts.
Abstract Data warehouse administrators (DWAs) should possess a different skill set from that of traditional database administrators (DBAs) to deal with the complexity of new systems. A DWA must be able to plan for a potentially huge growth rate of the data warehouse, anticipating growth rates that are much larger than a DBA should experience. DWAs must also be involved in data-related issues that relate to data inconsistencies and data semantics. Moreover, DWAs must plan for larger storage capabilities than DBAs, as well as the inclusion of potentially large volumes of external data. Two design models available to the DWA are the business subject-oriented approach and the multidimensional database model. The DWA must choose an implementation approach once the planning and design is completed. The DWA should then employ an incremental development approach, as opposed to an enterprise approach, in creating a successful data warehouse. Finally, the DWA must remain responsible for ensuring the security and integrity of the database, defining user views, and establishing access permissions to the database.
Search String "data warehouse"
Search Date 31-Jul-00
Search Num 5 of 215
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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7 Author Blackwood, Phil
Year 2000
Title 11 steps to success in data warehousing
Keywords Data warehouses
Abstract Eleven steps to successful data warehousing are presented. They involve recognizing the difficulty of the job, understanding the data in existing systems, recognizing equivalent entities and heterogeneous systems, using metadata to support data quality, selecting the most useful data transformation tools, taking advantage of external resources, utilizing new information distribution methods, focusing on high-payback marketing applications, building support throughout the organization, correctly assessing hardware requirements, and outsourcing data-warehouse development and maintenance.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 8 of 153
Thesis Type Feature Article
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Category Data Warehousing Practice
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8 Author Burdett, Crispin
Year 2000
Title Putting it all together
Keywords Information systems - Insurance use.Insurance companies - Management.Data warehouses. Management information systems - Planning.
Abstract The insurance industry is ready to accept data warehousing and business intelligence as part of its mainstream information technology activities. Insurers are being attracted by the complete, accurate, and timely information that data warehousing and business intelligence technologies provide in an era of flat premium growth, increasing operational costs, and intensified competition. The successful implementation of these technologies at insurance companies now depends on insurers' ability to see such technologies as strategic tools rather than as an expense and data warehouse and business intelligence vendors' ability to deliver complete, ready-to-deploy insurance solutions rather than the early build-your-own tool sets.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 11 of 153
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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9 Author Chen, Lei-da; Sakaguchi, Toru.; Frolick, Mark N.
Year 2000
Title Data mining methods, applications, and tools
Keywords Data mining
Abstract The potential benefits promised by data mining have inspired many organizations to invest heavily in data warehousing and data mining projects. Successful deployment of this technology requires both information systems and business managers to have an excellent understanding of its characteristics, existing and potential applications, types of information being discovered, and methods and tools in use. In addition, they should realize the advantages of data mining--which include better information to achieve competitive advantage, the addition of value to a data warehouse, the answer to research bottlenecks, the growth of operating efficiency, the provision of flexibility in using data, the reduction of operating costs, and immediate usability--as well as its disadvantages--a lack of definite answers, high cost, complex and lengthy projects, privacy concerns, high knowledge requirement of user, unmanageable databases, and wrong information caused by errors in data. The challenge for these organizations is how to interpret the data and how to transform it into useful information and knowledge.
Search String "data warehouse"
Search Date 31-Jul-00
Search Num 6 of 215
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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10 Author Chou, David C.; Chou, Amy Y.
Year 2000
Title A manager's guide to data mining
Keywords Data mining
Abstract The data-mining process--whereby implicit knowledge is discovered from a data warehouse--could help business analysts to make better decisions. Data mining aids businesses in identifying concealed relationships in their data that can help them to understand the current and past behaviors of key customers in relation to loyalty, investment activities, money borrowing, and credit-card usage, among other things. In addition, data mining can predict future behaviors in these areas. The operational guidelines that an effective data-mining implementation needs to observe are discussed, and the seven steps to implementing effective data mining are outlined.
Search String "data warehouse"
Search Date 03-Feb-00
Search Num 31 of 215
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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11 Author CIO roundtable
Year 1996
Title Information systems - Retail trade use.Data warehouses
Keywords Data warehousing
Abstract Part of a special section presenting highlights from the recent Retail Systems '96 summit in Dallas. Data warehousing was among the topics that dominated the discussion during the roundtable seminar. A data warehouse is a huge repository separate from the operational databases established to support specific departmental applications. As information from the individual operational databases is copied into the data warehouse at regular intervals, anyone in a retailer's organization can access information from the data warehouses without interfering with the often critical applications that the donor databases were designed to support. Although most panelists clearly feel that data warehouses provide the broadest access to highly detailed information possible to date, several express reservations about whether decision makers will make the best use of the information populating those data warehouses.
Search String "data warehousing" AND "decision support"
Search Date 31-Jul-00
Search Num 8 of 11
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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12 Author Cottrill, Ken
Year 1999
Title High-visibility warehouse. (Internet-based container monitoring system)
Keywords HQ Companies - Logistics.Barthco International Inc. - Contracts.Data warehouses. Freight and freightage - Internetresources.Containers (Freight) - Tracking.
Abstract HQ Cos. has installed a data warehouse system that allows it to closely follow the movement of import shipments. The system was developed with logistics company Barthco International and monitors the movement of containers imported from Asian suppliers via the Internet. Barthco collects the information and presents it to HQ over the Internet in the form of a data warehouse. The benefits of this system include reduced inventories and faster cargo flows--according to Barthco vice president Larry Antonucci--as well as better visibility, without which the retailer has a limited ability to match product delivery schedules to consumer demand.
Search String "data warehouse"
Search Date 31-Jul-00
Search Num 43 of 215
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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13 Author David, Julie Smith.; Steinbart, Paul John
Year 2000
Title Drowning in data
Keywords Arizona State University - Information systems. Data warehouses - Evaluation
Abstract Data warehouses have the potential to be inexhaustible sources of information. A data warehouse is a large pool of data that contains tools for extracting and analyzing that information. By integrating data that come from systems across the company, the data warehouse provides management with easy access to "big picture" information about the company. Though the average return on investment for a successful data-warehousing project is estimated to be more than 400 percent, it should nevertheless be borne in mind that improperly designed or controlled data warehouses tend to be expensive mistakes. Advice on how best to implement a data-warehousing process is set out, and a sidebar details the data-warehousing experiences of Arizona State University.
Search String "data warehouse"
Search Date 31-Jul-00
Search Num 21 of 215
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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14 Author Draaisma, Muriel
Year 1998
Title Mining for data gold
Keywords Data mining - Canada.Direct marketing - Canada.Database marketing – Canada
Abstract Part of a special section on developments in direct marketing in Canada. Although Canadian businesses are increasingly using data mining to gain a competitive edge, there are potential hazards to this process. Experts maintain that data mining--the automated process of sifting through large amounts of data to discover previously unknown customer trends--gives firms a deeper understanding of their customers and allows direct marketing campaigns to be more effectively targeted, improving response rates. However, data mining is complex and costly, and Dan Legault, president of marketing analysis and data mining firm Opal Sky, claims that complete, accurate data and a comprehensive data warehouse are necessary for successful data mining. Further hazards include growing alarms over customer privacy and management's occasionally unrealistic expectations. A sidebar discusses where to obtain data mining services.
Search String "data warehouse"
Search Date 03-Feb-00
Search Num 55 of
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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15 Author Fairhead, Neil
Year 1995
Title Data warehouses: increasing the value of your decision makers
Keywords Data warehouses. Decision making - Data processing
Abstract Data warehousing is a new use of computing that is providing the means for managers to make better decisions and to implement them more quickly. A data warehouse is a common store of corporate information to be used for decision making. W.H. Inmon, the "father of data warehousing," suggests that information in a data warehouse should be organized by subjects, not processes; be made consistent and be integrated; contain historic information, often extending back several years; and be stable. A data warehouse extracts data from other systems and sorts out the obstacles to the simple, effective use of the information; stores and manages information, ensuring that data remains uncorrupted, is backed up, and is stored and retrieved at the lowest possible cost; and assists decision makers in retrieving the correct information. When creating a data warehouse, an organization should begin by selecting the initial decisions that it wants to support. A list of questions is presented to help the organization to make this choice.
Search String "data warehousing" AND "decision support"
Search Date 31-Jul-00
Search Num 10 of 11
Thesis Type Feature Article
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Category Data Warehousing Practice
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16 Author Fanella, James A.
Year 1996
Title Meet customers' needs using data warehousing
Keywords Data mining. Insurance companies - Service.Decision support systems - Design.Information systems - Insurance use
Abstract Insurance companies must employ decision support systems if they are to fully comprehend the profiles of their customers and create a suitable customer service strategy. The most crucial information about customers often lies in unconnected databases that are difficult to access. By using decision support systems, known as data warehouses, companies can glean information from existing legacy systems into a customer information database. This data mining enables companies to provide customized products and services that are more suited to customers' desires. Advice on how to build a decision support system is provided.
Search String "data warehousing" AND "decision support"
Search Date 31-Jul-00
Search Num 9 of 11
Thesis Type Feature Article
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Category Data Warehousing Practice
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17 Author Gallegos, Frederick
Year 1999
Title Data warehousing: a strategic approach
Keywords Data warehouses
Abstract Companies must invest in and commit to some form of data warehousing in order to remain competitive. A data warehouse is a collection of integrated databases that is designed to support the decision making and problem-solving functions of management. Detailed advice is provided on a strategic approach to the implementation of a data warehousing system, covering such topics as determining the need for a data warehouse, deciding on the components of a data warehouse, building a data warehouse, placing a data warehouse on a firm's intranet, using data warehouse tools, and instigating backup and recovery plans, and sidebars discuss online analytical processing software tools and the development of a data warehouse by Harrah's Entertainment Inc. of Memphis.
Search String "data warehousing" AND "decision support"
Search Date 31-Jul-00
Search Num 2 of 11
Thesis Type Feature Article
University  
Category Data Warehousing Practice
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18 Author Gore, Jennifer
Year 1997
Title Data warehouses become marketing tool. (value network)
Keywords Data warehouses. Information systems - Banking use.Bank marketing. Value marketing.
Abstract Findings are presented from Ernst & Young's 1997 report on technology in banking and financial services. Chief financial officers (CFOs) and chief technological officers (CTOs) from 130 financial institutions worldwide were surveyed. The report, entitled Managing the Value Network, revealed that 60 percent of respondents use data warehousing and that 80 percent of bank CFOs and CTOs use data warehousing with decision support systems for market management. Banks are using data warehousing to target specific customers, such as retirees, students, and business executives, and to steer customers toward low-cost delivery channels.
Search String "data warehousing" AND "decision support"
Search Date 31-Jul-00
Search Num 7 of 11
Thesis Type Feature Article
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Category Data Warehousing Practice
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19 Author Hickey, Kathleen.
Year 1999
Title Sears did it their way. (custom-created geospatial logistics system)
Keywords Sears, Roebuck and Co. - Logistics.Household appliances - Transportation.Geographic information systems.
Abstract The director of logistics and information systems at Sears, Steve Rutkowski, spoke at the recent conference of the Voluntary Interindustry Commerce Standards Association of the company's achievements in home delivery. Rutkowski said that Sears handles an average of 4 million deliveries a year, which it expects to increase to 4.9 million in 1999, and has divided the country into 109 delivery markets. Sears has created its own delivery solution, comprising of geographic information software from Environment Systems Research Institute Inc. (ESRI) that merges its data with information from the U.S. Postal Service and uses a standardizer from Matchware Technologies Inc. that updates information, and heuristic software, created in conjunction with ESRI, to logically cluster stops. This solution allows Sears to deliver to 82 percent of the country within a two-hour window, increase customer satisfaction levels, reduce mileage and expenditures, and increase equipment utilization and stops per vehicle, says Rutkowski. The geographical information system has also been applied to Sears' warehouse operations.
Search String "data warehouse"
Search Date 31-Jul-00
Search Num 42 of 215
Thesis Type Feature Article
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Category Data Warehousing Practice
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20 Author Joshi, Kailash; Curtis, Mary
Year 1999
Title Issues in building a successful data warehouse
Keywords Data warehouses
Abstract There are several factors that an organization should consider when deciding whether to develop a data warehouse (DW). A DW uses existing data storage and database management technologies to bring together qualitative and quantitative data from several sources and time periods into a central location. The great potential offered by these systems has led most larger companies to at least consider the development of a DW. However, if a DW project fails, management can become disillusioned with information systems and competitive advantage can be lost. In order for a DW project to succeed, the objectives must match the organization's needs, the first phase must have an adequately narrow focus, and the database architecture must be appropriate to the task. In addition, users should be trained and provided with a range of tools for access and analysis. Issues involved in DW planning are examined in detail.
Search String "data warehouse"
Search Date 03-Feb-00
Search Num 44 of
Thesis Type Feature Article
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Category Data Warehousing Practice
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21 Author Molson Beweries
Year 1999
Title Bubble, bubble, less toil and trouble: data marts are brewing at Canada's largest beer maker
Keywords Molson Breweries of Canada Ltd. - Communication systems.Data marts. Data warehouses.
Abstract Realizing that it had to invest in new information-management tools and adopt a more fact-based approach to decision making to maintain its market dominance, Molson Breweries of Canada Ltd. determined that a data warehouse was the correct route. The firm decided on Oracle for its platform, and then, began the search for front-end tools to employ in data querying, reporting, and analysis. Working together with Hexagon Computer Systems Inc., a Cognos North American Premier Partner, Molson built a central data warehouse running on HP-UX and also established separate data marts that run on Compaq ProLiant file servers and a Windows NT workstation. Comprising multidimensional cubed structures, with extracts generated on a Pentium, the data marts are distributed across an NT LAN/WAN environment. Run on a daily, weekly, and monthly basis, Molson's datawarehousing applications handle sales, financial, and consumer-tracking information. According to Noel Zeldin, director of marketing and selling systems at the Molson Centre for Innovation, the system provides the simplest way of getting critical information out to a broad audience and is crucial to the company's continuing success.
Search String "data warehouse"
Search Date 03-Feb-00
Search Num 22 of
Thesis Type Feature Article
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Category Data Warehousing Practice
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22 Author Molson Breweries
Year 1999
Title Bubble, bubble, less toil and trouble: data marts are brewing at Canada's largest beer maker. (Molson Beweries)
Keywords Molson Breweries of Canada Ltd. - Communication systems. Data marts. Data warehouses.
Abstract Realizing that it had to invest in new information-management tools and adopt a more fact-based approach to decision making to maintain its market dominance, Molson Breweries of Canada Ltd. determined that a data warehouse was the correct route. The firm decided on Oracle for its platform, and then, began the search for front-end tools to employ in data querying, reporting, and analysis. Working together with Hexagon Computer Systems Inc., a Cognos North American Premier Partner, Molson built a central data warehouse running on HP-UX and also established separate data marts that run on Compaq ProLiant file servers and a Windows NT workstation. Comprising multidimensional cubed structures, with extracts generated on a Pentium, the data marts are distributed across an NT LAN/WAN environment. Run on a daily, weekly, and monthly basis, Molson's datawarehousing applications handle sales, financial, and consumer-tracking information. According to Noel Zeldin, director of marketing and selling systems at the Molson Centre for Innovation, the system provides the simplest way of getting critical information out to a broad audience and is crucial to the company's continuing success.
Search String "data warehouse"
Search Date 31-Jul-00
Search Num 47 of 215
Thesis Type Feature Article
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Category Data Warehousing Practice
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23 Author Murtaza, Ali H.
Year 1998
Title A framework for developing enterprise data warehouses
Keywords Data warehouses – Management
Abstract A five-stage framework may be used to overcome the challenges of establishing enterprise data warehousing solutions. Developing a data warehouse may facilitate optimal control of current operations and provide significant competitive advantage, but it is also one of the most challenging of organizational initiatives. An architecture-driven data warehousing framework that subsequently involves the addition of data warehouse tools and enables ongoing administration requirements to be met is outlined, and the five steps of the framework are discussed: determining the user community's business requirements; extracting, cleansing, and transforming data from the multiple sources to populate the data warehouse; designing a target architecture for the data warehouse; selecting access tools; and ensuring adequate warehouse administration.
Search String "data warehouse"
Search Date 03-Feb-00
Search Num 57 of
Thesis Type Feature Article
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Category Data Warehousing Practice
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24 Author Nannery, Matt
Year 1999
Title Chain drug stores' image problem. (using IS to get shoppers to use the pharmacy and convenience store sections)
Keywords Drug stores - Marketing.Data warehouses. Drug stores -Pharmacy.Drug stores - Food and candy departments.Information systems - Drug store use.
Abstract Pharmacists are attempting to persuade consumers to shop in both the pharmacy and convenience sections of chain drugstores. Profit margins on prescriptions are at an all-time low, and consequently, drugstore chains are increasingly focusing on the front end of the store. A possible solution is data warehousing, which gives access to purchase data, permitting chain drug operators to offer a front-end mix that pharmacy customers would be likely to purchase. Michael Polzin, manager of media relations for Walgreen, opposes giving private information on patients directly to suppliers for use in promotions, preferring instead to ensure patients opt-in for any promotional campaign. However, Brian Kilcourse, senior vice president and CIO of Walnut Creek, California-based Longs Drug Stores, insists that such marketing initiatives must have front-end offerings that put health first, not sales, to successfully attract consumers.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 28 of 153
Thesis Type Feature Article
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Category Data Warehousing Practice
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25 Author Nelson, Kristi
Year 1999
Title FedEx taps into data warehouse: company uses software to speed up marketing campaigns. (Exchange Applications' ValEX)
Keywords Federal Express Corp. - Marketing.Exchange Applications, Inc. - Products.ValEX Marketing Management System (Computer program).
Abstract A long-term vision and a carefully executed marketing data warehouse have helped Federal Express to change its focus from product to customer. The company's success is based on a sophisticated marketing system that moves data warehouse information from a mainframe to a client-server environment. Now that they have access to customer knowledge, marketers can plan and execute marketing efforts that concentrate on customer value. Furthermore, the company is capable of accurately measuring the results of marketing initiatives and can modify strategies accordingly.
Search String "data warehouse"
Search Date 03-Feb-00
Search Num 47 of
Thesis Type Feature Article
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Category Data Warehousing Practice
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26 Author Olsen, David H.; Cooney, Vance
Year 2000
Title The strategic benefits of data warehousing: an accounting perspective
Keywords Information systems - Accounting use. Data warehouses - Evaluation.
Abstract A data warehouse presents opportunities for a firm's accounting department. Data warehousing is a readily available solution to the limitations that are inherent in traditional database management systems--a data warehouse is created from data that already exist in an organization as well as from external data that are useful to analyze. One of the two primary areas in which data warehouses are likely to impact on accounting practice is that audit trails may now involve the data warehouse itself either as the source of figures or as a check on figures obtained elsewhere. The second area is the potential to use the warehouse in conducting the audit, thus saving time and money. Proponents of data warehouse systems maintain that the vast amounts of financial data that organizations generate is not used for decision support, so it would appear that this area has great potential. Data warehouses are appropriate primarily for decision support in the implementation phase, and developers mainly build data warehouses for specialized purposes.
Search String "data warehousing" AND "decision support"
Search Date 31-Jul-00
Search Num 1 of 11
Thesis Type Feature Article
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27 Author Petravick, Simon
Year 1999
Title Doing more with data
Keywords Data mining. Data warehouses – Design
Abstract Technological improvements and advanced analysis techniques enable the wealth of data that are dispersed throughout today's accounting systems to be the basis for important improvements in decision making. However, a systems architecture is required in order to recognize strategic information in existing systems and make it accessible for analysis and examination. Moreover, many companies have discovered patterns of data that are of strategic importance by implementing such a program. Systems architecture and systems development and maintenance are discussed; charts illustrate the systems architecture and the system development and operation; the Web site addresses for additional information and vendors in relation to data repositories (warehousing) and data mining, enterprise resource planning (ERP), and on-line analytical processing are provided; and a sidebar describes ERP systems.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 24 of 153
Thesis Type Feature Article
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Category Data Warehousing Practice
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28 Author Poe, Vidette; Reeves, Laura L.; Gray, Paul
Year 1997
Title Building a data warehouse for decision support (book review)
Keywords  
Abstract  
Search String "data warehouse" AND "decision support"
Search Date 04-Feb-00
Search Num of
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Category Data Warehousing Practice
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29 Author Roberts, Bill
Year 1999
Title HR's link to the corporate big picture. (HR's use of a data warehouse)
Keywords Data warehouses. Data marts. Information systems - Humanresource management use.Human resource management - Strategic planning.
Abstract The data warehouse and data mart are allowing HR to link workforce planning into organizationwide strategies. The data warehouse is a large bank of information taken from databases throughout an organization, and a data mart is a subset of that information focused on one set of related topics. According to Carl Hoffman, president of Hoffman Research Associates Inc., Chapel Hill, North Carolina, the personnel focus in companies now is to manage better and use scarce human resources better, and the data warehouse or data mart can help realize this. However, according to Jenni Lehman, an analyst and research director for applications technology at the Gartner Group, Stamford, Connecticut, the biggest obstacle with either a data warehouse or data mart is ensuring that the data are accurate and that there are precise audit trails.
Search String “data warehouse”
Search Date 31-Jul-00
Search Num 57 of 215
Thesis Type Feature Article
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Category Data Warehousing Practice
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30 Author Sedgwick, David.; Connelly, Mary
Year 1999
Title GM sees dollars in its mountain of buyer data. (Enterprise Customer Management)
Keywords General Motors Corp. - Information systems. Data warehouses. Information systems - Marketing use .Automobiles - Marketing.
Abstract General Motors (GM) intends to use its data warehouse of tens of millions of customer records to sell a range of products, including many nonautomotive products. This new marketing effort has been dubbed Enterprise Customer Management, and it hopes to tap into new areas of income from its customer base. With the permission of the customer, GM will target the entire household of the customer using direct mail, E-mail, customer telephone centers, and other communication tools. Ford and DaimlerChrysler are planning similar strategies but are sticking exclusively to automobile products. Sidebars list some of GM's products and outline the new marketing strategies of Ford, GM, and DaimlerChrysler.
Search String “data warehouse”
Search Date 31-Jul-00
Search Num 56 of 215
Thesis Type Feature Article
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Category Data Warehousing Practice
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31 Author Swope, Christopher
Year 2000
Title Info central. (warehousing government's data)
Keywords Data warehouses. Information systems - Government use.
Abstract Data warehousing offers big advantages to decision makers. With uses varying from criminal justice to Medicaid, from tracking welfare-to-work programs to catching tax cheats, data warehouses are either present or on the drawing board in nearly every state. By consolidating information and making it easy to search, data warehousing is useful as a tool to measure transactions and as an analytical tool to help decision making for managers, who look to data warehousing for big-picture data and speed. In the era of results-oriented government, access to analytical information is what managers in state and local government are coming to expect.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 12 of 153
Thesis Type Feature Article
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Category Data Warehousing Practice
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32 Author Van den Hoven, John
Year 1999
Title Key trends for the new millennium
Keywords Database management
Abstract The rapid growth of enterprise resource planning applications, data warehousing applications, and E-commerce applications makes database-management systems (DBMS) a key enabling technology for business. A number of key trends in the development of the DBMS are emerging. The first two trends--the rise in commodity prices and the survival of the fittest--relate to the overall database market. The other trends relate to the capabilities of DBMSs and include the positioning by DBMS vendors of their products as the Internet database, the development of object-relational DBMSs in multimedia, and optimization by relational DBMS vendors of their technology for data warehousing.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 23 of 153
Thesis Type Feature Article
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Category Data Warehousing Practice
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33 Author VandenHoven, John
Year 1998
Title Data marts: plan big, build small
Keywords Data marts - Size.Data warehouses - Evaluation.
Abstract Data marts and data warehouses are two major approaches to data warehousing that differ greatly in scale and complexity. A data warehouse is an orderly and accessible repository of known facts or information from many subject areas, and a data mart is a subject-oriented or department-oriented data warehouse. The data mart is considered the more cost-effective option for many enterprises: It is a more manageable data warehousing project that can be steered toward delivering value to a specific business area, thus providing many of the decision support capabilities without the cost and complexity inherent in a centralized data warehouse. In addition, data marts can--with appropriate planning--be gradually consolidated to create an enterprise data warehouse.
Search String "data warehousing" AND "decision support"
Search Date 31-Jul-00
Search Num 6 of 11
Thesis Type Feature Article
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Category Data Warehousing Practice
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34 Author Wilken, Earl
Year 1998
Title Seeking knowledge in a database mine
Keywords Data mining. Data warehouses.
Abstract The pursuit of knowledge through data mining and data warehousing is one of the hottest subjects currently being discussed in the business world. According to Dr. Akeel Al-Attar, managing director of Attar Software, data mining--the process of discovering knowledge from data--enables complex business processes to be understood and reengineered. This is achieved by using such data mining technologies as rule inductions and decision trees to discover patterns in data relating to the past behavior of a business process. This knowledge can then be used to improve the performance of the process by adopting favorable patterns and avoiding problematic patterns.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 29 of 153
Thesis Type Feature Article
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Category Data Warehousing Practice
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35 Author Winans, Christopher
Year 1999
Title Building from the bottom up can result in dirty datamarts. (Fulfilling the e-promise conference, Boston 1998)
Keywords Chesbrough, Tom.Kapstone Systems Inc. - Officials.Data marts.
Abstract Part of a special section on A.M. Best Co.'s 11th annual insurance information management conference, "Fulfilling the e-Promise." Speaking at the conference, Tom Chesbrough, CEO of Kapstone Systems Inc., Kansas City, Missouri, said that as insurers approach the end of their year 2000 date conversion efforts, they will be spending more time and money on data mining, an area where success has been elusive. Quoting statistics from the Gartner Group, a technology-research company, Chesbrough noted that 85 percent of the first generation of data warehousing efforts have either failed or have not realized their goals. He said that a centralized datamart takes seven months to three years to set up properly, as it uses numerous data sources, is scrubbed for consistency, and is configured for easy access throughout an organization and remotely via the Internet, intranets, and extranets.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 39 of 153
Thesis Type Feature Article
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Category Data Warehousing Practice
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36 Author Zarowin, Stanley
Year 2000
Title Technology for the new millennium
Keywords Information technology – Forecasting
Abstract From online retailing to data warehousing and from business-to-business Internet connections to online teamware, technology is embedded in the way that most business is conducted. Clever managers upgrade their technology each year or two and reap not only a good return on the investment but also the advantage of nurturing employees, who are more likely to appreciate and grow with the new technology. Within a few years, most users probably will not purchase their software on floppy disks or CDs or even install applications on their computers. Instead, customers will pay a fee to deploy transmitted software in much the same manner as they pay for metered gas and electricity. The next-generation Internet, the Supernet, will be functioning within a few years, with offers of plenty of super-high-speed bandwidth.
Search String "data warehousing"
Search Date 31-Jul-00
Search Num 4 of 153
Thesis Type Feature Article
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Created: Sunday, July 25, 1999 05:51 PM
Last Modified: Sunday, June 2, 2002 4:45 PM