| 1. |
Sendmail, Inc. and Disappearing, Inc. Team Up to Add Enhanced Security ( 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
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| 2. |
A Definition of Data Warehousing ( 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.
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| 3. |
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.
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| 4. |
Distilling Data: The Importance of Data Quality in Business Intelligence (0 Pages)
by Anna Mallikarjunan
Jul 17, 2009
Abstract : As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.
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| 5. |
Distilling Data: The Importance of Data Quality in Business Intelligence (0 Pages)
by Anna Mallikarjunan
Oct 20, 2008
Abstract : As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.
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| 6. |
MAPICS, Inc. to Acquire Pivotpoint, Expanding e-business Offerings for Mid-Sized Manufacturing Establishments ( Pages)
by P.J. Jakovljevic
Jan 10, 2000
Abstract : On December 15, MAPICS, Inc. a leading provider of enterprise business applications for mid-sized manufacturing companies, announced a definitive agreement to acquire Pivotpoint, Inc., a company whose proven technology and visionary e-business solutions place them at the forefront of the extended enterprise application space. With this aggressive move, MAPICS immediately expands its offerings across multiple platforms, including Windows NT, UNIX, Linux and AS/400.
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| 7. |
Enterprise Resource Planning for Services, and Professional Services Automation: Where Do You Draw the Line? ( 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.
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| 8. |
Understanding SOA, Web Services, BPM, BPEL, and More Part One: SOA, Web Services, and BPM ( 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.
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| 9. |
Data Quality: Cost or Profit? ( 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.
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