| 1. |
A Definition of Data Warehousing (6 Pages)
by M. Reed
Aug 18, 2002
Abstract : There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
|
| 2. |
A Definition of Data Warehousing (6 Pages)
by M. Reed
Aug 24, 2000
Abstract : There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
|
| 3. |
Sendmail, Inc. and Disappearing, Inc. Team Up to Add Enhanced Security (3 Pages)
by P. Hayes
Mar 6, 2000
Abstract : Administrators of the sendmail system, coupled with Disappearing, Inc.'s product will be able to set specific 'Time to Live' (TTL) for each piece of email prior to permanent deletion, allowing corporate email retention policies to be enforced.
|
| 4. |
Enterprise Resource Planning for Services, and Professional Services Automation: Where Do You Draw the Line? (4 Pages)
by Neil Stolovitsky
Apr 13, 2006
Abstract : Since the late nineties, enterprise resource planning (ERP) vendors have developed functionality for vertical markets in the service industry. Simultaneously, professional services automation (PSA) became a viable software category. Consequently, deciphering the difference between ERP and PSA remains a challenge.
|
| 5. |
Understanding SOA, Web Services, BPM, BPEL, and More Part One: SOA, Web Services, and BPM (5 Pages)
by P.J. Jakovljevic
Dec 22, 2004
Abstract : In the larger schema of things, SOA would espouse general, more abstract concepts of software reusability and encapsulation within certain boundaries (as to then provide access to that software via defined interfaces), Web services would then make these SOA concepts vendor-independent due to their use of generally accepted standards, while BPM and BPEL would be some of the engines making the whole system work.
|
| 6. |
Data Quality: Cost or Profit? (4 Pages)
by Kevin Ramesan
Mar 8, 2004
Abstract : Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.
|
| 7. |
Business Basics: Unscrubbed Data Is Poisonous Data (4 Pages)
by J. Dowling
Nov 26, 2003
Abstract : Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.
|
| 8. |
A CRM System Needs A Data Strategy (7 Pages)
by David McNamara
Jul 3, 2003
Abstract : A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention by gathering data from each contact with customers and prospects. Collecting data, however, cannot be isolated from a strategy for actually using that data. Here is an overview of how to evolve the focus of a data strategy to specifically suit both the acquisition and retention phases.
|
| 9. |
Business Basics: Unscrubbed Data Is Poisonous Data (4 Pages)
by J. Dowling
Jun 13, 2001
Abstract : Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.
|
CART 
