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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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 data driven instruction


Demand-driven Planning in Manufacturing
Cover-time planning (CTP) is a

data driven instruction  use near real time data to closely match supply to demand, eliminate the need to hold excess inventory, and increase the flow of goods throughout the supply chain. Therefore, because of the capability of supply chain execution (SCE) software to handle these complex requirements, the trend has been to postpone many light manufacturing operations, such as final assembly, customized packing, labeling, engraving, etc., from shop floors to warehouses and distribution centers (DC). A warehouse management

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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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » data driven instruction

Demand-driven Manufacturing and Warehousing: Challenges and User Recommendations


Among its promising initiatives, IBS offers flexible rescheduling tools that integrate with existing manufacturing resource planning systems. Its warehousing solution also promises better use of space, and automates reception put-away, etc. However, the vendor still must navigate through some rough competitive terrain.

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Integrated Learning and Performance: Essential to a Talent Management Strategy


Companies once responded to tighter labor markets with a greater emphasis on recruiting. Today, more firms are focusing on engagement, retention, and driving better performance from their existing workforce while still looking out for talent from the outside. And investing in employees’ training and development can provide big rewards. Learn about the benefits of an integrated learning and performance management system.

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Enterprise Applications--The Genesis and Future, Revisited Part Three: 2000s--Back to the Future


A typical ERP system indeed now offers broad functional coverage nearing the best-of-breed capabilities; vertical industry extensions; a strong technical architecture; training, documentation, implementation and process design tools; product enhancements; global support; and an extensive list of software, services and technology partners. While it is not a system-in-a-box yet, the gap between its desired and actual features is becoming smaller every day.

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Auto Distributor Improves Bottom Line with ERP


When Naghi Group’s annual revenue began to soar, it realized that running core business operations on multiple systems was no longer feasible; its current solution lacked the integration capabilities necessary to communicate with its distribution and manufacturing departments. After only a few months since integrating VAI’s enterprise resource planning (ERP) solution, Naghi has already realized its many benefits.

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Evoke Software Releases Axio Data Integration Product


Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

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Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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Protecting Critical Data


The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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