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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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 big data camp


Analyzing MAPICS' Further Steps After Frontstep Part Four: Market Impact Continued
While competitive costs (low and flexible software license pricing and implementation costs) and outstanding global service (proven fast implementations and

big data camp  for the platform. The big news on the MAPICS ERP for iSeries product side is that version 7.3, which is slated for December, will feature Double Bytes support, and expanded Java 2 Enterprise Edition (J2EE)-based client technology. Other developments detailed in this note are: MAPICS Field Service and Support (covered in Part One ) A Global Partnership with Systems Union (covered in Part One ) Primus Knowledge Solution Results Certified Partner Program Pacejet Logistics, Inc. is a Certified Partner A Revis

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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

Field Service Management (FSM)

Field service management (FSM) software is a set of functionalities for organizations or departments within organizations that have as main focus the intallation, maintanance, reparing, and meter reading for industries relying heaviling on equipment. FSM workers require functionality for customer engagement management, service and asset management as well as workforce management. Since most activities in FSM take place outside of the office, mobility is a big component of the a FSM software solutions. Typically, FSM software is not used as a stand-alone solution, as it needs to integrate with Financials, ERP, CRM and EAM to ensure accurate data exchange. Even if its main purpose is to maintain and repair equipment, it can also be used to gather customer satisfaction and equipment performance feedback. To allocate human resources efficiently, workforce management is an integral part of an FSM system. 

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Documents related to » big data camp

Architecture Evolution: Service-oriented Architecture versus Web Services


Collaboration and interoperability are critical where multiple business units reside under one larger corporation, or where there is a requirement to integrate the system into a disparate system when a business-to-business or business-to-consumer extension is part of the business model.

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SAP Tries Another, Bifurcated Tack At A Small Guy


As the battle for the mid-market intensifies and each Tier 1 vendor is exhibiting its bag of tricks for small-to-medium enterprises, SAP is trying a twofold strategy of promulgating its mySAP.com offering for the higher-end of the mid-market, while offering a recently acquired product to appeal to complexity-adverse smaller enterprises.

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SaaS-ing the Manufacturing Opportunity


The software as a service (SaaS) delivery model is here to stay, and most vendors have noticed. Recently, the endorsement for SaaS in the realm of manufacturing enterprise resource planning has come from a veteran vendor and SaaS pioneer.

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Thinking Radically: Interview with Gary Cokins


One of the things I love about my job is the opportunity I have to speak with great people. In this installment of Thinking Radically, I speak with Gary Cokins, an internationally-renowned speaker and expert on performance improvement systems. Please take a minute to read this interesting and informative interview with one of the gurus in the business performance and analytics spaces. Gary

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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

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Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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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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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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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

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