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Software Functionality Revealed in Detail
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 plum trees


What’s New in Microsoft SQL Server 2000
SQL Server 2000, the next major release of SQL Server 7, is Microsoft’s SQL 7 release of its database both re-architected and re-written. Microsoft has high

plum trees  New in Microsoft SQL Server 2000 What’s New in Microsoft SQL Server 2000 M. Reed - June 21, 2000 Product Background In 1987, Sybase released the SQL Server database management system on the UNIX platform. The product was ported to IBM OS/2 by Microsoft, Sybase, and Ashton-Tate (of DBase fame) in 1988-89. Ashton-Tate dropped out of the consortium in 1990. Between 1991 and 1993, Microsoft and IBM divorced in the OS/2 arena, and SQL Server 4.2 for Windows NT and the Windows NT 3.1 operating system

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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Quote-to-order: The Major Players in the Manufacturing Arena


The latest generation of quote-to-order systems uses knowledge-based software to help reduce an organization’s dependence on its highly skilled experts. The ability to harness a company’s intellectual property and know-how helps build competitive advantage.

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A Case Study and Tutorial in Using IT Knowledge Based Tools Part 1: Decision Support Discussion


In going through a business decision process for complex technology selections, more and more use is being made of technologically driven processes using Decision support tools and captured knowledge. The use of these systems and the capability to drive a solution from them assumes an ability to accurately express business requirements and business value within these tools. In this article, we explore the marriage of knowledge management and decision support in forming knowledge based selection systems and procedures that can assist in reducing the current appalling record of IT project failures. This is illustrated by the process to select a Personal Digital Assistant (PDA).

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A Case Study and Tutorial in Using IT Knowledge Based Tools Part 2: A Tutorial


This tutorial, part 2 of a two part series on Knowledge Based Selection, demonstrates the selection processes and capabilities of Knowledge Based Selection Methods and Tools. These tools, integrated with business decision making procedures, can arguably reduce selection risk and improve chances for success in IT projects. Given the appalling rate of IT project failures, selection can potentially help reduce risk in some 30% of cases, with an associated estimated cost of about $30B annually to industry according to some sources. In this tutorial, we illustrate a number of the procedures for rapid decision processing through the real-life selection of a PDA device. The process gave confidence to the argument to wait for the solution, while weighing risk against return.

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What's Really Driving Business Intelligence?


Typical explanations given for increased spending in business intelligence include, meeting government regulations, managing information overload, tracking corporate goals, and improving competitive response. However, a deeper drive for BI stems from the need to quantify the intangibles that underlie the market value of a business.

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Business Intelligence


The ability to extract and present information meaningfully is vital for business management. Indeed, business intelligence tools enable companies to make better decisions, by providing the right information to the right people at the right time. Moreover, employees increasingly suffer from information overload, and require solutions that make informed decisions a more natural part of the everyday work experience.

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FRx Poised to Permeate Many More General Ledgers Part Two: Market Impact


Since FRx already has integrations built to over forty leading general ledgers (and now a scalable tool kit available to accommodate virtually all others), the idea was for users to leverage the investment they have already made in their GL and to add increased functionality as their needs become more sophisticated.

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Companies relying on an Excel or Excel-like system need to know that, while Excel might suffice for ad hoc analysis and data storage for individuals or small groups, the technological flaw of data and referential integrity prevents it from a corporate-wide, collaborative effort like planning and budgeting, not to mention product development and sourcing.

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