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ERP Evaluation Center
Nov 23, 2009
Today's usage of Decision Support Systems (DSS), combined with vetted ERP knowledge bases, allows organizations to save time and money, achieving better and more reliable/fully-documented decisions, a quantum improvement over the widely-used subjective process of selecting complex enterprise software...
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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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Customer Relationship Management (CRM) - CRM Acronym Definition and Related White Papers ( Pages)
by TEC Staff
Jun 13, 2009
Abstract : Customer Relationship Management (CRM) systems are software systems that cover the range of interaction a company has with its current, or potential customers. Its functionality can include marketing automation, sales force automation, help desk, customer service and support, partner management, contract management and creation, project and team management, Internet sales, e-mail response management, analytics, and important technical criteria.
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Human Capital Management (HCM) - HCM Acronym Definition and Related White Papers ( Pages)
by TEC Staff
Jun 13, 2009
Abstract : Human Capital Management (HCM) is a strategic approach to people management that focuses on the knowledge, skills, abilities and capacity to develop and innovate possessed by people in an organisation (source: "Human Capital Management [HCM]: Achieving Added Value Through People", by Angela Baron & Michael Armstrong).
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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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Syncsort Sigma Manages Database Aggregates ( Pages)
by M. Reed
Jul 25, 2000
Abstract : Syncsort, a software vendor with years of experience in the sorting of data, has released a new product called Sigma™, which is designed to produce aggregated data within data warehouses to improve response time and reduce database load. The importance of aggregation in a data warehouse cannot be underestimated.
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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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Product Lifecycle Management: Expediting Product Innovation ( Pages)
by R. Nagarajan
Aug 11, 2008
Abstract : The highly competitive product manufacturing market makes true product lifecycle management (PLM) inevitable. PLM helps companies map product requirements to features, obtain control over product data, preserve product knowledge assets, and enter into the new paradigm of modular product development.
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Product Lifecycle Management: Expediting Product Innovation (0 Pages)
by R. Nagarajan
Sep 2, 2009
Abstract : The highly competitive product manufacturing market makes true product lifecycle management (PLM) inevitable. PLM helps companies map product requirements to features, obtain control over product data, preserve product knowledge assets, and enter into the new paradigm of modular product development.
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| 10. |
Product Lifecycle Management: Expediting Product Innovation ( Pages)
by R. Nagarajan
Oct 20, 2006
Abstract : The highly competitive product manufacturing market makes true product lifecycle management (PLM) inevitable. PLM helps companies map product requirements to features, obtain control over product data, preserve product knowledge assets, and enter into the new paradigm of modular product development.
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