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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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 extract data from axapta


Tracing Food Quality and Safety, or We Are What We Eat, After All (Part II)
Part I of this blog post introduced the burning issues of food safety and the ensuing need for traceability. To the end of providing entire food supply chain

extract data from axapta  terms, Lawson Trace Engine extracts data from several source systems (ERP, warehousing management system [WMS], etc.), whereby the extract, transform & lead (ETL) layer cleanses and prepares data for the Data Queue . By using Trace Configurator to set a number of pertinent rules, validations, exception alerts, etc., Trace Data and Quality Assurance (QA) Data can then be presented in the Trace Explorer . The solution has been developed to ensure that all transactions entering the engine are valid both in

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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

ERP for Mill-based and Material Converting Environments

The ERP for Mill-based and Material Converting Environments knowledge base focuses on a range of industrial activities that add value to raw materials by processing them into a form suitable for further manufacturing or for immediate end-use. These activities include traditional mills that turn grain into flour or extract sucrose from sugar cane; the spinning and weaving mills of the textiles and carpets sectors; the rolling plants of steel, aluminum, and other metals semi-fabricators; to the continuous outputs of paper and board mills. 

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Business Intelligence for SMBs: MBS Excel Applications and Competitive Analysis


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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When Small Business Packages Have Enterprise Appeal


As an APS-based business management system, NetSuite can effectively serve the needs of small medium businesses. Its integrated application uses three distinct building blocks: customer relationship management, back-office ERP and accounting, and a robust set of e-commerce applications.

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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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Melissa Data


There are currently no details available for this vendor. However, we are working to update this vendor’s information in our database as soon as possible. Please check back again.

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In-memory Computing: Lifting the Burden of Big Data


Business data is growing at an unprecedented speed, and organizations of all sizes, across all industries, have to face the challenge of scaling up their data infrastructure to meet this new pressure. Advances in server hardware and application design have led to a potential solution: in-memory computing. Read Aberdeen's Analyst Insight report and see how in-memory computing can address two of the "three Vs" of big data.

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The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

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Profiting from PCI Compliance


Although the Payment Card Industry Data Security Standard (PCI DSS) has become a global requirement, many organizations are lagging in compliance. For many companies, regulatory compliance can already be an overwhelming and confusing area to navigate, and the need to comply with the PCI DSS might feel like yet another burden. Discover the efficiency gains of building a strategy designed around PCI compliance.

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Phoenix Data Systems


Established in 1974 and currently headquartered in Southfield, Michigan (US), Phoenix DataSystems, Inc., initially began as a custom software developer. In the 1980s, it shifted focus to a single specialty: healthcare related equipment maintenance.

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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

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