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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.
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 navision data warehouse update


Microsoft Dynamics AX: The Chosen One Among Microsoft Dynamics ERP Equals? - Part 2
Part 1 of this blog series positioned all four Microsoft Dynamics enterprise resource planning (ERP) product lines and concluded that Microsoft Dynamics AX

navision data warehouse update  companies and former archrivals, Navision and Damgaard in November 2000, Axapta was for a short period of time known as NavisionDamgaard Axapta for versions 2.5 and 3.0 (up until 3.0 SP5 ), while Navision, today Microsoft Dynamics NAV [ evaluate this product ], temporarily changed its name into Attain . Axapta 2.5 was released in December 2000 featuring a complete Web applications development environment, the Auto Upgrade tool, the Employee Self-Service (ESS) portal, the Project and Banking modules, and

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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

Warehouse Management Systems (WMS)

A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. 

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Documents related to » navision data warehouse update

The Technology Choices


In the battle between Microsoft Business Solutions (MBS) and the UK-based the Sage Group for the small-to-medium enterprise (SME) market segment, technology choices will be a major factor.

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Managing Your Supply Chain Using Microsoft Axapta: A Book Excerpt Part Two: Understanding Planning Calculations


The S&OP game plans drive coordination of supply chain activities based on planning calculations. The primary coordination engine-termed the master scheduling task-generates a set of requirements data and suggested action messages, and the system supports multiple sets of requirements data for simulation purposes. Further explanation starts with a review of all demands and supplies considered by planning logic, and then proceeds to an overview of the planning calculations.

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Managing Process Manufacturing Using Microsoft Dynamics AX


Some firms rely on out-of-the box functionality to help reduce risk, minimize custom development, and increase predictability of successful implementation usage. This book simplifies explanations in order to understand the functionality related to operations and supply chain management in process manufacturing.

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ACCPAC -- Being Much More Than Meets The Eye Part Three: Market Impact


ACCPAC has lately been making big strides to extend its reach and turn into a full-fledged comprehensive e-business software provider for small and medium enterprises (SMEs). ACCPAC is likely the only vendor amongst its peers that is an ASP as well. Additionally, ACCPAC applications are geared for growth.

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

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The Teradata Database and the Intelligent Expansion of the Data Warehouse


In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Warehouse in detail, including functionality, distinguishing characteristics, and Teradata's role in the competitive data warehouse space.

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

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