| 1. |
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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| 2. |
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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| 3. |
TEC Talks to the Open For Business ProjectFree and Open Source Software Business ModelsPart One: OFBiz ( Pages)
by Josh Chalifour
Sep 7, 2004
Abstract : In conversation with the Open For Business (OFBiz) project leader, David Jones, TEC discovers some of the challenges in raising an open source enterprise software solution. Mr. Jones explains his vision in this first part of three articles on maintaining a business centered around Free and open source software for the enterprise.
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| 4. |
To Gain Market Share in the Mid-Market, SAP Leaves No Stone Unturned ( Pages)
by Kevin Ramesan
Jun 30, 2003
Abstract : The star above small and medium businesses (SMB) has never been so bright. CRM solution vendors are courting this market segment extensively. This is the second of a series of articles that look at strategies deployed by major enterprise solution vendors to attract the SMB decision makers and whether those vendors are ''dumbing down'' their enterprise software for the mid-market. This article evaluates SAP's mid-market solutions and its implementation approach.
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| 5. |
Welcome to the CRM Mid-Market Abyss-PeopleSoft ( Pages)
by Kevin Ramesan
Jun 26, 2003
Abstract : As the market shifts from sophisticated enterprise CRM implementations to the more competitive and overcrowded mid-market-large enterprise vendors tend to step on mid-market vendor's toes. The real concern is to determine whether the mid-market cultural and functional differences are well understood and acted upon or do the large players simply offer a smaller mockup of their existing enterprise solutions. This article, which evaluates the PeopleSoft mid-market CRM solution, is the first of a series of research articles that focus on the mid-market applications provided by large CRM vendors.
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| 6. |
Software Integration FAQ (1 Page)
by TEC Staff
Oct 9, 2007
Abstract : Software integration is critical to business success, especially if your business has been up and running for a few years. But what does software integration really mean? SOA? Web services? Find out with a comprehensive guide to software integration, including today's top software integration FAQs, as well as links to free articles to help you understand what steps you should take for software integration success.
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| 7. |
The Three Cs of Successful Positioning ( Pages)
by Lawson Abinanti
Feb 21, 2005
Abstract : There is a method to take you through the positioning process, where success depends on understanding three Cs--your Customer, your Competition, and your Channel. This series of articles will explain how to use them to gather intelligence, challenge assumptions, and test your positioning.
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| 8. |
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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| 9. |
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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