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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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 supply chain application with data warehouse


Delivering Supply Chain Excellence
Gaps between enterprise resource planning (ERP) functionality and best-of-breed applications are diminishing rapidly. Deciding between the two may thus come

supply chain application with data warehouse  Supply Chain Excellence Delivering supply chain excellence If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. IBS supply chain software helps to prepare your company to take advantage of opportunities and challenges with fast and effective integration and communications. It offers flexibility in managing legacy systems and information from mergers and acquisitions. Source : IBS Resources Related to Delivering supply chain

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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

Supply Chain Management (SCM)

Supply chain management (SCM) solutions include applications for managing supplier, manufacturer, wholesaler, retailer, and customer business processes. Addressing demand management, warehouse management, international trade logistics, transportation execution, and many other issues for a complete solution, this knowledge base will support your evaluation of an SCM suite. 

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Documents related to » supply chain application with data warehouse

Supply Chain Management Audio Conference Transcript


This is a transcript of an audio conference on Supply Chain Management presented by TechnologyEvaluation.Com. The presentation used the TEC patented selection engine WebTESS, to conduct a live real time evaluation and selection. It then reviewed the critical differentiating supply chain management criteria, as well as detailed comparisons of i2 Technologies, Manugistics, Aspen Technology, Logility, and Adexa.

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Supply Chain Cost-cutting Strategies


Process industries (chemicals, food and beverage, oil and gas, etc.) face rising manufacturing and logistics costs. And they’re finding that the old strategies for cost containment no longer pack the same punch. Some surveys show that 75 percent of all respondents are redesigning their supply chains to keep these costs in check. Are you one of them? No? You’ve got a lot of catching up to do—and very little time to do it.

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Understanding and Managing Supply Chain Risk


As supply chains continue to grow in size and complexity, companies are focusing more of their energies on managing supply chain risk. While the topic is gaining prominence in boardrooms, many companies do not yet fully comprehend the risks they face. But understanding risk is the first step to managing it—and using the right IT tools can help. Learn what steps you can take to better address your supply chain risks.

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Improving Supply Chain Effectiveness


Increased globalization, volatility in demand and commodity costs, regulatory requirements, and greater dependency on suppliers and other partners have significantly increased the risk of doing business. To manage performance efficiently, midsize companies need a unified planning, budgeting, and consolidation solution. Learn how such a solution can streamline the planning process and help reduce business risk.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

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Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices


This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure.

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Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

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The Data Warehouse RFP


If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good.

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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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