| 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. |
How Has Made2Manage Systems Been Managing Itself? ( Pages)
by P.J. Jakovljevic
Aug 22, 2000
Abstract : On July 25, Made2Manage Systems, Inc., a provider of enterprise business systems for small and midsize manufacturers, and Click Commerce, Inc., the provider of Enterprise Channel Management software and services, announced a new offering to enable small and mid-sized manufacturers to leverage the Internet to support their sales, inventory and service networks. Earlier, on July 19, Made2Manage Systems, Inc. reported second quarter 2000 results.
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| 8. |
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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| 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.
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