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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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 oracle plm data sheet


Chatting with TradeStone Software @ NRF BIG Retail Shows - Part 1
Some signs of a modest economic recovery and cautious optimism are shyly popping out, although they might be only be crumbs of comfort for many unemployed

oracle plm data sheet  Microsoft, Fujitsu, Hewlett-Packard, SAP, Oracle, SAS, JDA Software , and so on, expectedly had their large and perhaps gaudy stands (some with interesting entertainment gigs by the local artistic groups). But I am always more keen on seeing what some smaller, and often more innovative vendors have to say and exhibit. For an exhaustive list of this year’s exhibitors, see  here . To be fair, the 2009 show had a number of intriguing  BIG Ideas Sessions  at the expo floor . Perhaps the dour economic

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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

Core PLM for Discrete Industries

The foundation of product lifecycle management (PLM) for the discrete manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including management of material specifications, product structures, production processes, design tools, document management, and design collaboration. 

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Invensys Production Solutions - Can Historic Strengths And The 'Protean Boost' Overcome Its Liabilities? Part Two: Liabilities, Strategy, and User Recommendations


Invensys must communicate its successes and strategy to the marketplace, and must aggressively invest in customer satisfaction, marketing, and sales. IPS must convince customers and prospects that it is here to stay; while the functionally rich products are great advantages, many other considerations make some customers and prospects perceive these solutions a risk.

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Infor ION-izes its Open SOA Strategy - Part 2


Part 1 of this blog series started by analyzing a certain change of the guard and a related product strategy shift at Infor. Two late June 2010 news announcements, which were entitled “Infor Simplifies Connectivity and Data Sharing with Infor ION(tm)” and “Infor Selects Microsoft as Preferred Technology and Tools Provider for Infor Software," were then demystified in an

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A Response Management Pioneer Offers Its Solution


Kinaxis Inc. is answering the needs of global manufacturers by delivering an on-demand response management service. These services are designed to help manufacturers drive quick responses to ever-changing global supply chains and fulfillment networks.

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TradeStone Software Presents Bamboo Rose


TradeStone’s merchandise lifecycle management (MLM) platform unifies the design, sourcing, ordering, and delivery of private-label and branded goods, allowing fashion, apparel, footwear, and accessories retailers to leverage a “single version of the truth.” The company’s latest innovation, Bamboo Rose, is a global e-market community for retailers and suppliers who want to exchange ideas and product information before they buy.

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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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Oracle Releases Oracle Solaris 11.1


During its Openworld event, Oracle announced the release of Oracle Solaris 11.1 to deliver enhancements in features and performance. Some of the outstanding enhancements of this new Solaris version are its capabilities for building large-scale infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) clouds for both SPARC and x86 processor-based servers, as well as extreme

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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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Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

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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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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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