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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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 federated data warehouse


Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

federated data warehouse  data through a distributed (federated) query. One way to think of EII is as a virtual database layer that allows user applications to access and query data as if it resided in a single database. In other words, the concept has taken an existing database capability to merge a query across different tables, but it is done on a virtual basis, shielding users from the underlying complexities of locating, querying, and joining data from varied data source systems. EII is a fundamentally different approach to

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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 » federated data warehouse

Sneak Peek: Enterprise Software 2013


The following forces and information technology (IT) trends will continue to shape 2013: 1. Cloud Computing While cloud computing is becoming mainstream, hybrid cloud–on-premises configurations (a.k.a., “software plus services” and “connected services”) remains the reality for cloud integration and federated cross-cloud security issues. Organizations are increasingly looking to hybrid cloud

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Remapping the Supply Chain Universe, by Ann Grackin and Sree Hameed


Supply chain management is a truly dynamic field. Over the last few years the fundamental structure of the chains has changed to the point where many of the working assumptions have to be reevaluated. ChainLink Research’s new 3D approach provides a useful framework for evaluating supply chain solutions.

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TEC Industry Watch: Enterprise Software News for the Week of August 13, 2012


SOFTWARE SELECTIONSSwiss investment bank UBS selects cloud-based Oracle’s Fusion Human Capital ManagementIndustry tags: Finance and Banking "With extensive worldwide operations, UBS provides its clients with wealth management, asset management, and investment and (in Switzerland) retail banking. A cloud-based HCM solution indeed can be a good option, technically. Traditionally there have been

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A Drop-ship Enablement Pioneer Leads the Way


By providing a single plug-and-play connection to multiple trading partners, CommerceHub strives to enable basically any retailer to electronically integrate with its suppliers, regardless of the idiosyncratic systems and capabilities that might exist among them.

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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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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

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Simulation In The Warehouse


Simulation can remedy one time and ongoing problems in the warehouse. Learn about the technology of computer stimulation and how it can benefit senior management in the logistics, distribution, and warehousing industries. This paper will describe the benefits of simulation as an analytical tool and the industrial lessons learned from failed simulation projects.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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