| 1. |
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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| 2. |
Extending Quality's Reach to Manage Quality in the Supply Chain ( Pages)
by Olin Thompson
Jan 20, 2006
Abstract : Quality does not start at the receiving dock and end at the shipping dock. The focus on the supply chain demands that the quality department be involved from the beginning to the end of the supply chain.
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| 3. |
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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| 4. |
Poor Data Quality Means A Waste of Money ( Pages)
by Olin Thompson
Sep 23, 2003
Abstract : Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe that's because the cost of data quality is hidden. That cost can be huge.
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| 5. |
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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| 6. |
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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| 7. |
The Many Faces of PLM Part Two: The Future of the PLM Suite ( Pages)
by Jim Brown
Dec 30, 2003
Abstract : The future of the PLM Suite will include more applications that cover product-related functionality and further expand the benefits available. As the PLM Suite matures, companies will benefit from increased functionality and increased integration between business processes. The ultimate expression of this more mature solution will result in a broad suite of focused, integrated applications that leverage a core of unified, structured product data - the PLM Platform.
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| 8. |
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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| 9. |
Benefits of a Single Database Solution: Improved Enterprise Quality Management from IQMS ( Pages)
by P.J. Jakovljevic
Apr 7, 2005
Abstract : IQMS appears to be raising the competitive bar for quality management among its ERP competition with a single database software solution and seamless ERP systems access.
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