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Compare Epicor (Vantage, e by Epicor) side-by-side with BAAN, SAP, J.D. EDWARDS, EPICOR, ORACLE, QAD, and 80+ other ERP vendors
Jul 5, 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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Pull vs Push: a Discussion of Lean, JIT, Flow, and Traditional MRP Part Two: Challenges and User Recommendations (4 Pages)
by P.J. Jakovljevic
Jan 15, 2004
Abstract : While lean/flow leverages practices to stay ahead of actual demand, traditional approaches better coordinate secondary, back-office systems like accounting and HR. Moreover, flow should be a company-wide strategy that impacts more than manufacturing.
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A Definition of Data Warehousing (6 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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| 4. |
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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Pull vs Push: a Discussion of Lean, JIT, Flow, and Traditional MRP Part 1: Tutorial (3 Pages)
by P.J. Jakovljevic
Jan 14, 2004
Abstract : Flow manufacturing leverages techniques to help manufacturers create any product on any given day, in any given quantity including the 'quantity of one' (i.e., through the so-called mixed-model production), while keeping inventories to a minimum and shortening cycle times in order to quickly fill customer orders.
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Data Quality: Cost or Profit? (4 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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Managing Global Trade Flows (4 Pages)
by P.J. Jakovljevic
Jun 16, 2005
Abstract : In global trade, the flow of information must support the tracking and management of the goods to enable the secure and compliant entry and exit to and from countries for the correct funds to flow to eligible business and trading partners.
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Business Basics: Unscrubbed Data Is Poisonous Data (4 Pages)
by J. Dowling
Nov 26, 2003
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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A CRM System Needs A Data Strategy (7 Pages)
by David McNamara
Jul 3, 2003
Abstract : A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention by gathering data from each contact with customers and prospects. Collecting data, however, cannot be isolated from a strategy for actually using that data. Here is an overview of how to evolve the focus of a data strategy to specifically suit both the acquisition and retention phases.
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| 10. |
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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